The document discusses multimedia architecture and markup languages. It describes two common multimedia architectures - monolithic and shell architectures. It then covers markup languages, including HTML, XML, and SGML. XML is presented as being based on SGML but simplified for use on the web. Stylesheets are described as separating document contents from style to allow flexibility.
This is a Context based stemming or semantic stemming. It even goes beyond stemming hence it is named as Personalized derivative. User can even customize the output based on its domain by integrating ontologies .
The ever increasing need to provide a suitable derivative of a term governed by context where derivative can either stemmed word or hypernym of a word has spurred a lot of research activities in information retrieval communities. In this presentation, we are concerned with providing context centric derivatives of a term which can be useful in any search engine for obtaining better search results. Personalized Terms Derivative (PTD) provides derivative of terms based on the context surrounding the term. We also emphasize how the PTD (Personalized Terms Derivative) provides greater capabilities or enhance capabilities of an existing search engine like Solr and Elastic Search to perform boolean search effectively.
This problem is a vital cog in the wheel of text analytics world. It can also be extended to improvise the result of keyword extraction, abstractive summarization, and POS parser tree.
The Gut-Brain Connection: An Inside Look at DepressionAugustin Bralley
?
The document discusses the gut microbiome and its importance in human health and disease. It notes that the gut contains trillions of bacteria that play a key role in nutrient absorption, immune function, and metabolism. Specific tests are mentioned that can provide insight into the gut microbiome, such as stool analysis, intestinal permeability testing, and organic acid testing in urine. The gut microbiome is suggested to influence conditions like obesity, inflammation, and mental health issues like depression. Maintaining a healthy gut microbiome is presented as important for overall wellness.
This document provides a tutorial on the CMDI metadata standard and the ISOcat Data Category Registry. It discusses ISOcat's role as a registry for linguistic data categories, how data categories provide semantics for CMDI metadata elements and components, and how they are referenced in CMDI. It also provides an overview of the status and standardization process of the CMDI metadata profile.
The document discusses semantic metadata and how it can be used to improve content discovery and integration. It defines semantic metadata as a consistent, rules-based information layer that exposes the meaning of data so computers can perform more sophisticated tasks. Tagging content with terms from controlled vocabularies and taxonomies allows computers to better understand relationships and provide more precise search results. The benefits of semantic metadata include precision in discovery, computable context links between related content, and insights into collection gaps and trends.
The document discusses a project called CollOnBus that aims to extract knowledge from social tagging data on the web. It presents an approach called "metadata first, ontologies second" which involves mapping tags to Dublin Core metadata structures before converting them to ontologies. The document also describes tools developed as part of CollOnBus called folk2onto and Tag Distiller that are used to filter tags, map them to senses, and generate XML files representing the mapped tags and their relationships.
The document discusses semantic approaches for enriching content through adding descriptive metadata and relationships between terms, allowing for more precise searching and discovery beyond basic keyword searches. It covers developing semantic landscapes through controlled vocabularies, taxonomies, and ontologies to extract meaning from text and infer relationships between concepts. Semantic enrichment provides benefits like improved navigation, focused search, and discovering related content.
RSS is Changing The Web How Will It Change Our Classroomsqdsouza
?
The document discusses how RSS (Really Simple Syndication) can help teachers and students stay up-to-date with new online content and resources without having to spend hours searching the web. It explains what RSS is and how it allows users to automatically receive updated content from websites they subscribe to. The document also provides examples of how RSS and related tools can be used in classroom settings to merge and filter content, track collaboration, conduct searches, and more.
The document discusses developing free language technologies for lesser-resourced languages. It provides examples of existing free projects in Welsh, including translation and authoring aids, terminology dictionaries, and Welsh text-to-speech. It also outlines priorities and challenges in funding and developing such technologies in a sustainable way through open-source approaches and sharing resources between projects.
The document summarizes the use of computer lexica in optical character recognition (OCR) and information retrieval. It discusses what a computer lexicon is, how it differs from an electronic dictionary, and examples of lexica built for Dutch texts in the IMPACT project. Lexica help improve OCR accuracy and enable more advanced searching of text corpora by accounting for spelling variants. The project achieved significant error reductions in OCR of Dutch historical texts by using tailored lexica.
Cross-lingual ontology lexicalisation, translation and information extraction...Tobias Wunner
?
The document discusses cross-lingual ontology translation and lexicalization. It presents the lemon model for connecting ontology concepts to lexical information to facilitate tasks like machine translation. The lemon model represents lexical entries, forms, linguistic structure, meanings, and syntactic frames. It separates ontological semantics from lexical features to enable linking terminology to external resources for translation. The model supports representing multilingual labels and relating terms through concepts like narrower/broader. This enables cross-lingual information extraction and search over linked data.
A basic introduction to taxonomies/controlled vocabularies, what they are and how they are used. Presented originally at the Society of Indexers conference, July 2008.
The document discusses ontologies, including:
1) It defines ontologies as formal specifications of concepts and relationships that can exist for an agent or community. Ontologies allow knowledge to be shared and reused.
2) Ontologies can be used to facilitate knowledge management, enable learning about a domain, and enable intelligent search and query expansion.
3) The document provides guidance on developing ontologies, including researching the domain, using existing resources, defining classes and properties, and choosing an ontology language.
The document discusses semantic networks and how they can be used for natural language understanding. It describes how semantic networks contain extensive definitions and relationships between words that capture meaning. It also outlines several unique features of Expert System's semantic network, including expanded definition sets, semantic relations, categorized attributes, and deep entity extraction. The network can classify text into over 600 categories to aid in metadata construction.
The document discusses semantic networks and how they can be used for natural language understanding. It describes how semantic networks contain extensive definitions and relationships between words that capture meaning. It also outlines several unique features of Expert System's semantic network, including expanded definition sets, semantic relations, categorized attributes, and deep entity extraction. The network can classify text into over 600 categories to aid in organizing information. Semantic networks provide a more comprehensive understanding of language compared to traditional keyword-based or statistical techniques.
The document discusses integrating government data from multiple sources using semantic web technologies. It describes various data formats used by government sources, including spreadsheets, XML, RSS, RDFa. It also discusses strategies for importing different types of "found data" into RDF, merging the data through schema mapping and tagging, and analyzing and displaying the integrated data using semantic web approaches. Controlled vocabularies play an important role in mapping schemas and enabling data integration and reuse.
The document provides an introduction to the Archives Hub, XML, and EAD (Encoded Archival Description). It discusses how the Archives Hub uses XML and EAD to provide searchable descriptions of archival collections from over 180 repositories. It also summarizes key points about XML and EAD, including that EAD is the standard for encoding archival finding aids in XML and allows for sharing of data between systems.
The document discusses several metadata standards for online learning resources, including the IEEE Learning Object Metadata Standard (LOM), Dublin Core, and the emerging ISO/IEC Metadata for Learning Resources Standard. It analyzes usage patterns of LOM elements based on a survey of existing metadata records and finds that elements describing intellectual content and file characteristics are used most frequently. Dublin Core is positioned as a simpler alternative to LOM that is better aligned with semantic web technologies through its use of RDF. The new ISO standard aims to provide compatibility with LOM and Dublin Core while addressing accessibility, multilingual support, and other needs.
The document discusses the power of podcasting and web 2.0 tools for education. It provides examples of how students can create podcasts and vodcasts to extend their learning experiences through projects on topics like field trips, book reports, math tutorials, and interviews. The document also provides information on creating RSS feeds and includes examples of potential student podcasting projects.
nlp based python project using tkinter and machine learning .pptxapjcproject
?
This document describes a restaurant review sentiment analysis project. It uses natural language processing techniques like tokenization, part-of-speech tagging, and sentiment analysis algorithms on restaurant reviews to determine customer sentiment. The project aims to help restaurant stakeholders better understand customer opinions to improve performance. It was developed using the Tkinter frontend framework in Python and analyzes reviews to provide real-time sentiment feedback.
The document summarizes research on automatically cleaning and refining relationships in AGROVOC, an agricultural ontology. Key points:
1. Researchers developed a system that uses multiple techniques like expert rules, learning from examples, noun phrase analysis and WordNet alignment to detect incorrectly defined relationships and suggest refinements.
2. An evaluation showed the system was able to correctly refine 72-100% of relationships tested, depending on the technique used.
3. Future work includes collaboratively training the system to automatically extract more relationship rules from data.
Do you struggle to keep track of all your favorite websites and other online resources? Have you ever lost your folder of Internet bookmarks from your Web browser or wished you could access them from ANY computer? Would you like to share the links to your favorite online resources with your colleagues or students? Social bookmarking is a technique of storing, classifying, sharing and searching links through the practice of folksonomic tagging. This hands-on session will introduce the popular social bookmarking tool del.icio.us and explore several practical applications for implementing social bookmarking activities in the classroom.
The document summarizes the minutes from a NITF (News Industry Text Format) meeting. Key points discussed include:
1) Approval of previous meeting minutes and matters arising.
2) The chairman's report that NITF membership has grown and the format remains the most widely used XML standard for articles.
3) A discussion of different methods for adding semantics to articles, including microformats, RDFa, eRDF, and PRISM.
4) Plans to improve documentation and drive broader adoption of the NITF article model and format.
The document discusses the Semantic Web and its potential uses and applications. It provides definitions of key concepts like the Semantic Web, RDF, and ontologies. It also gives examples of how semantic annotations could make metadata and content more operational and accessible. Additional layers of semantic information could provide meanings, relationships, and links to make information more understandable and useful to machines and people.
The document provides an introduction to XML, explaining that it aims to capture the structure and meaning of content rather than presentation. It discusses some key XML concepts like semantic tags, elements, attributes, and lowerCamelCase naming conventions. The document also outlines reasons why Wiley needs XML, including for single source publishing to multiple formats and platforms, enriched content features, and powerful searching across content.
The document summarizes an agenda for a workshop discussing strategies for resource description and discovery without heavy metadata. The agenda includes presentations on automatic metadata generation, linked open courseware, and search engine optimization lessons from an open educational resources project. Attendees will then break into groups to discuss experiences with and future plans for automatic metadata, search engine optimization, social tagging, semantic web approaches, or other topics. The goal is to ensure open educational resources can be coherently organized and managed as a national collection to meet institutional objectives and target key audiences.
Automatic Metadata Generation Charles DuncanJISC CETIS
?
ºÝºÝߣs by Charles Duncan summarising the findings of the automatic metadata generation use cases project, see http://www.intrallect.com/wiki/index.php/AMG-UC
The document discusses semantic approaches for enriching content through adding descriptive metadata and relationships between terms, allowing for more precise searching and discovery beyond basic keyword searches. It covers developing semantic landscapes through controlled vocabularies, taxonomies, and ontologies to extract meaning from text and infer relationships between concepts. Semantic enrichment provides benefits like improved navigation, focused search, and discovering related content.
RSS is Changing The Web How Will It Change Our Classroomsqdsouza
?
The document discusses how RSS (Really Simple Syndication) can help teachers and students stay up-to-date with new online content and resources without having to spend hours searching the web. It explains what RSS is and how it allows users to automatically receive updated content from websites they subscribe to. The document also provides examples of how RSS and related tools can be used in classroom settings to merge and filter content, track collaboration, conduct searches, and more.
The document discusses developing free language technologies for lesser-resourced languages. It provides examples of existing free projects in Welsh, including translation and authoring aids, terminology dictionaries, and Welsh text-to-speech. It also outlines priorities and challenges in funding and developing such technologies in a sustainable way through open-source approaches and sharing resources between projects.
The document summarizes the use of computer lexica in optical character recognition (OCR) and information retrieval. It discusses what a computer lexicon is, how it differs from an electronic dictionary, and examples of lexica built for Dutch texts in the IMPACT project. Lexica help improve OCR accuracy and enable more advanced searching of text corpora by accounting for spelling variants. The project achieved significant error reductions in OCR of Dutch historical texts by using tailored lexica.
Cross-lingual ontology lexicalisation, translation and information extraction...Tobias Wunner
?
The document discusses cross-lingual ontology translation and lexicalization. It presents the lemon model for connecting ontology concepts to lexical information to facilitate tasks like machine translation. The lemon model represents lexical entries, forms, linguistic structure, meanings, and syntactic frames. It separates ontological semantics from lexical features to enable linking terminology to external resources for translation. The model supports representing multilingual labels and relating terms through concepts like narrower/broader. This enables cross-lingual information extraction and search over linked data.
A basic introduction to taxonomies/controlled vocabularies, what they are and how they are used. Presented originally at the Society of Indexers conference, July 2008.
The document discusses ontologies, including:
1) It defines ontologies as formal specifications of concepts and relationships that can exist for an agent or community. Ontologies allow knowledge to be shared and reused.
2) Ontologies can be used to facilitate knowledge management, enable learning about a domain, and enable intelligent search and query expansion.
3) The document provides guidance on developing ontologies, including researching the domain, using existing resources, defining classes and properties, and choosing an ontology language.
The document discusses semantic networks and how they can be used for natural language understanding. It describes how semantic networks contain extensive definitions and relationships between words that capture meaning. It also outlines several unique features of Expert System's semantic network, including expanded definition sets, semantic relations, categorized attributes, and deep entity extraction. The network can classify text into over 600 categories to aid in metadata construction.
The document discusses semantic networks and how they can be used for natural language understanding. It describes how semantic networks contain extensive definitions and relationships between words that capture meaning. It also outlines several unique features of Expert System's semantic network, including expanded definition sets, semantic relations, categorized attributes, and deep entity extraction. The network can classify text into over 600 categories to aid in organizing information. Semantic networks provide a more comprehensive understanding of language compared to traditional keyword-based or statistical techniques.
The document discusses integrating government data from multiple sources using semantic web technologies. It describes various data formats used by government sources, including spreadsheets, XML, RSS, RDFa. It also discusses strategies for importing different types of "found data" into RDF, merging the data through schema mapping and tagging, and analyzing and displaying the integrated data using semantic web approaches. Controlled vocabularies play an important role in mapping schemas and enabling data integration and reuse.
The document provides an introduction to the Archives Hub, XML, and EAD (Encoded Archival Description). It discusses how the Archives Hub uses XML and EAD to provide searchable descriptions of archival collections from over 180 repositories. It also summarizes key points about XML and EAD, including that EAD is the standard for encoding archival finding aids in XML and allows for sharing of data between systems.
The document discusses several metadata standards for online learning resources, including the IEEE Learning Object Metadata Standard (LOM), Dublin Core, and the emerging ISO/IEC Metadata for Learning Resources Standard. It analyzes usage patterns of LOM elements based on a survey of existing metadata records and finds that elements describing intellectual content and file characteristics are used most frequently. Dublin Core is positioned as a simpler alternative to LOM that is better aligned with semantic web technologies through its use of RDF. The new ISO standard aims to provide compatibility with LOM and Dublin Core while addressing accessibility, multilingual support, and other needs.
The document discusses the power of podcasting and web 2.0 tools for education. It provides examples of how students can create podcasts and vodcasts to extend their learning experiences through projects on topics like field trips, book reports, math tutorials, and interviews. The document also provides information on creating RSS feeds and includes examples of potential student podcasting projects.
nlp based python project using tkinter and machine learning .pptxapjcproject
?
This document describes a restaurant review sentiment analysis project. It uses natural language processing techniques like tokenization, part-of-speech tagging, and sentiment analysis algorithms on restaurant reviews to determine customer sentiment. The project aims to help restaurant stakeholders better understand customer opinions to improve performance. It was developed using the Tkinter frontend framework in Python and analyzes reviews to provide real-time sentiment feedback.
The document summarizes research on automatically cleaning and refining relationships in AGROVOC, an agricultural ontology. Key points:
1. Researchers developed a system that uses multiple techniques like expert rules, learning from examples, noun phrase analysis and WordNet alignment to detect incorrectly defined relationships and suggest refinements.
2. An evaluation showed the system was able to correctly refine 72-100% of relationships tested, depending on the technique used.
3. Future work includes collaboratively training the system to automatically extract more relationship rules from data.
Do you struggle to keep track of all your favorite websites and other online resources? Have you ever lost your folder of Internet bookmarks from your Web browser or wished you could access them from ANY computer? Would you like to share the links to your favorite online resources with your colleagues or students? Social bookmarking is a technique of storing, classifying, sharing and searching links through the practice of folksonomic tagging. This hands-on session will introduce the popular social bookmarking tool del.icio.us and explore several practical applications for implementing social bookmarking activities in the classroom.
The document summarizes the minutes from a NITF (News Industry Text Format) meeting. Key points discussed include:
1) Approval of previous meeting minutes and matters arising.
2) The chairman's report that NITF membership has grown and the format remains the most widely used XML standard for articles.
3) A discussion of different methods for adding semantics to articles, including microformats, RDFa, eRDF, and PRISM.
4) Plans to improve documentation and drive broader adoption of the NITF article model and format.
The document discusses the Semantic Web and its potential uses and applications. It provides definitions of key concepts like the Semantic Web, RDF, and ontologies. It also gives examples of how semantic annotations could make metadata and content more operational and accessible. Additional layers of semantic information could provide meanings, relationships, and links to make information more understandable and useful to machines and people.
The document provides an introduction to XML, explaining that it aims to capture the structure and meaning of content rather than presentation. It discusses some key XML concepts like semantic tags, elements, attributes, and lowerCamelCase naming conventions. The document also outlines reasons why Wiley needs XML, including for single source publishing to multiple formats and platforms, enriched content features, and powerful searching across content.
The document summarizes an agenda for a workshop discussing strategies for resource description and discovery without heavy metadata. The agenda includes presentations on automatic metadata generation, linked open courseware, and search engine optimization lessons from an open educational resources project. Attendees will then break into groups to discuss experiences with and future plans for automatic metadata, search engine optimization, social tagging, semantic web approaches, or other topics. The goal is to ensure open educational resources can be coherently organized and managed as a national collection to meet institutional objectives and target key audiences.
Automatic Metadata Generation Charles DuncanJISC CETIS
?
ºÝºÝߣs by Charles Duncan summarising the findings of the automatic metadata generation use cases project, see http://www.intrallect.com/wiki/index.php/AMG-UC
The document discusses several proposals for improving the searchability and discoverability of open educational resources (OER) through search engine optimization, social networking, and automatic metadata generation. Some specific proposals mentioned include generating normalized metadata, aggregating usage data, linking to standards like XCRI, sharing and standardizing ontologies, releasing institutional data as linked open data, and creating guides and training around search engine optimization and social media for OER projects.
Making your content visible - Russell StannardJISC CETIS
?
The document discusses the use of open educational resources (OER) to market multimedia courses at the University of Westminster. It details the growth of a website called MMTV that provides lecture videos and notes from the courses. A survey found that while the site was not a primary factor for most students in choosing the program, it was seen as important in providing information about the courses and influenced some students' decisions. As more content was added to the site, more students cited it as a key factor or as having impacted their decision. The OER resources may be helping to increase enrollment numbers in the programs.
MR CUTE is a Moodle plugin that adds repository functionality, allowing users to upload, tag, and search for educational resources. It builds on an existing IMS repository to enhance Moodle's repository browsing capabilities. Key new features include the ability to upload content, tag resources with keywords to aid searching, and package content using IMS standards. The plugin aims to facilitate easier discovery and sharing of educational resources among Moodle users.
The MIDESS Project explored sharing digital content like images between university repositories. It tested standards like OAI-PMH and METS for exchanging metadata and objects. While these standards allow some interoperability, repositories implemented them differently, preventing full sharing. The project highlighted ongoing issues around information architecture, repository functionality for multimedia, and integrating repositories into broader systems.
1) The document discusses an implementation of the SWORD standard for depositing content into repositories using Intrallect's intraLibrary software.
2) It describes Intrallect building a desktop deposit tool for intraLibrary that allows dragging and dropping of files and metadata into a repository.
3) The SWORD desktop deposit tool supports features like drag and drop uploading of any file type, bulk deposit, and configuration of collection deposit location. It also allows for workflows after publication like metadata augmentation and quality checking.
UKOLN is investigating the combination of controlled vocabularies and social tagging to improve resource discovery. The project will develop demonstrators on the Intute digital collection and STFC repository to test indexing and retrieval when tags are generated through social tagging alone or with guidance to use terms from the Dewey Decimal Classification. A user study with 50 graduate students on the Intute collection will evaluate the specificity, exhaustivity, and effectiveness of the two approaches.
TrustArc Webinar - Building your DPIA/PIA Program: Best Practices & TipsTrustArc
?
Understanding DPIA/PIAs and how to implement them can be the key to embedding privacy in the heart of your organization as well as achieving compliance with multiple data protection / privacy laws, such as GDPR and CCPA. Indeed, the GDPR mandates Privacy by Design and requires documented Data Protection Impact Assessments (DPIAs) for high risk processing and the EU AI Act requires an assessment of fundamental rights.
How can you build this into a sustainable program across your business? What are the similarities and differences between PIAs and DPIAs? What are the best practices for integrating PIAs/DPIAs into your data privacy processes?
Whether you're refining your compliance framework or looking to enhance your PIA/DPIA execution, this session will provide actionable insights and strategies to ensure your organization meets the highest standards of data protection.
Join our panel of privacy experts as we explore:
- DPIA & PIA best practices
- Key regulatory requirements for conducting PIAs and DPIAs
- How to identify and mitigate data privacy risks through comprehensive assessments
- Strategies for ensuring documentation and compliance are robust and defensible
- Real-world case studies that highlight common pitfalls and practical solutions
Technology use over time and its impact on consumers and businesses.pptxkaylagaze
?
In this presentation, I will discuss how technology has changed consumer behaviour and its impact on consumers and businesses. I will focus on internet access, digital devices, how customers search for information and what they buy online, video consumption, and lastly consumer trends.
DevNexus - Building 10x Development Organizations.pdfJustin Reock
?
Developer Experience is Dead! Long Live Developer Experience!
In this keynote-style session, we¡¯ll take a detailed, granular look at the barriers to productivity developers face today and modern approaches for removing them. 10x developers may be a myth, but 10x organizations are very real, as proven by the influential study performed in the 1980s, ¡®The Coding War Games.¡¯
Right now, here in early 2025, we seem to be experiencing YAPP (Yet Another Productivity Philosophy), and that philosophy is converging on developer experience. It seems that with every new method, we invent to deliver products, whether physical or virtual, we reinvent productivity philosophies to go alongside them.
But which of these approaches works? DORA? SPACE? DevEx? What should we invest in and create urgency behind today so we don¡¯t have the same discussion again in a decade?
This is session #4 of the 5-session online study series with Google Cloud, where we take you onto the journey learning generative AI. You¡¯ll explore the dynamic landscape of Generative AI, gaining both theoretical insights and practical know-how of Google Cloud GenAI tools such as Gemini, Vertex AI, AI agents and Imagen 3.
Backstage Software Templates for Java DevelopersMarkus Eisele
?
As a Java developer you might have a hard time accepting the limitations that you feel being introduced into your development cycles. Let's look at the positives and learn everything important to know to turn Backstag's software templates into a helpful tool you can use to elevate the platform experience for all developers.
How Discord Indexes Trillions of Messages: Scaling Search Infrastructure by V...ScyllaDB
?
This talk shares how Discord scaled their message search infrastructure using Rust, Kubernetes, and a multi-cluster Elasticsearch architecture to achieve better performance, operability, and reliability, while also enabling new search features for Discord users.
Inside Freshworks' Migration from Cassandra to ScyllaDB by Premkumar PatturajScyllaDB
?
Freshworks migrated from Cassandra to ScyllaDB to handle growing audit log data efficiently. Cassandra required frequent scaling, complex repairs, and had non-linear scaling. ScyllaDB reduced costs with fewer machines and improved operations. Using Zero Downtime Migration (ZDM), they bulk-migrated data, performed dual writes, and validated consistency.
A Framework for Model-Driven Digital Twin EngineeringDaniel Lehner
?
ºÝºÝߣs from my PhD Defense at Johannes Kepler University, held on Janurary 10, 2025.
The full thesis is available here: https://epub.jku.at/urn/urn:nbn:at:at-ubl:1-83896
FinTech - US Annual Funding Report - 2024.pptxTracxn
?
US FinTech 2024, offering a comprehensive analysis of key trends, funding activities, and top-performing sectors that shaped the FinTech ecosystem in the US 2024. The report delivers detailed data and insights into the region's funding landscape and other developments. We believe this report will provide you with valuable insights to understand the evolving market dynamics.
https://ncracked.com/7961-2/
Note: >> Please copy the link and paste it into Google New Tab now Download link
Brave is a free Chromium browser developed for Win Downloads, macOS and Linux systems that allows users to browse the internet in a safer, faster and more secure way than its competition. Designed with security in mind, Brave automatically blocks ads and trackers which also makes it faster,
As Brave naturally blocks unwanted content from appearing in your browser, it prevents these trackers and pop-ups from slowing Download your user experience. It's also designed in a way that strips Downloaden which data is being loaded each time you use it. Without these components
? ????? ??????? ????? ?
???????? ??????????? is proud to be a part of the ?????? ????? ???? ???? ??????? (?????) success story! By delivering seamless, secure, and high-speed connectivity, OSWAN has revolutionized e-?????????? ?? ??????, enabling efficient communication between government departments and enhancing citizen services.
Through our innovative solutions, ???????? ?????????? has contributed to making governance smarter, faster, and more transparent. This milestone reflects our commitment to driving digital transformation and empowering communities.
? ?????????? ??????, ?????????? ??????????!
Just like life, our code must evolve to meet the demands of an ever-changing world. Adaptability is key in developing for the web, tablets, APIs, or serverless applications. Multi-runtime development is the future, and that future is dynamic. Enter BoxLang: Dynamic. Modular. Productive. (www.boxlang.io)
BoxLang transforms development with its dynamic design, enabling developers to write expressive, functional code effortlessly. Its modular architecture ensures flexibility, allowing easy integration into your existing ecosystems.
Interoperability at Its Core
BoxLang boasts 100% interoperability with Java, seamlessly blending traditional and modern development practices. This opens up new possibilities for innovation and collaboration.
Multi-Runtime Versatility
From a compact 6MB OS binary to running on our pure Java web server, CommandBox, Jakarta EE, AWS Lambda, Microsoft Functions, WebAssembly, Android, and more, BoxLang is designed to adapt to any runtime environment. BoxLang combines modern features from CFML, Node, Ruby, Kotlin, Java, and Clojure with the familiarity of Java bytecode compilation. This makes it the go-to language for developers looking to the future while building a solid foundation.
Empowering Creativity with IDE Tools
Unlock your creative potential with powerful IDE tools designed for BoxLang, offering an intuitive development experience that streamlines your workflow. Join us as we redefine JVM development and step into the era of BoxLang. Welcome to the future.
Field Device Management Market Report 2030 - TechSci ResearchVipin Mishra
?
The Global Field Device Management (FDM) Market is expected to experience significant growth in the forecast period from 2026 to 2030, driven by the integration of advanced technologies aimed at improving industrial operations.
? According to TechSci Research, the Global Field Device Management Market was valued at USD 1,506.34 million in 2023 and is anticipated to grow at a CAGR of 6.72% through 2030. FDM plays a vital role in the centralized oversight and optimization of industrial field devices, including sensors, actuators, and controllers.
Key tasks managed under FDM include:
Configuration
Monitoring
Diagnostics
Maintenance
Performance optimization
FDM solutions offer a comprehensive platform for real-time data collection, analysis, and decision-making, enabling:
Proactive maintenance
Predictive analytics
Remote monitoring
By streamlining operations and ensuring compliance, FDM enhances operational efficiency, reduces downtime, and improves asset reliability, ultimately leading to greater performance in industrial processes. FDM¡¯s emphasis on predictive maintenance is particularly important in ensuring the long-term sustainability and success of industrial operations.
For more information, explore the full report: https://shorturl.at/EJnzR
Major companies operating in Global?Field Device Management Market are:
General Electric Co
Siemens AG
ABB Ltd
Emerson Electric Co
Aveva Group Ltd
Schneider Electric SE
STMicroelectronics Inc
Techno Systems Inc
Semiconductor Components Industries LLC
International Business Machines Corporation (IBM)
#FieldDeviceManagement #IndustrialAutomation #PredictiveMaintenance #TechInnovation #IndustrialEfficiency #RemoteMonitoring #TechAdvancements #MarketGrowth #OperationalExcellence #SensorsAndActuators
L01 Introduction to Nanoindentation - What is hardnessRostislavDaniel
?
Becta Vms
1. Using standards to make vocabularies available. The Becta VMS (Vocabulary Management Service)? Mike Taylor <mike@miketaylor.org.uk> Giraffatitan brancai reconstruction from Paul (1988)?
2. Contents Vocabularies Becta The Becta Vocabulary Management Service The Zthes XML format The Zthes web service
3. Contents Vocabularies Becta The Becta Vocabulary Management Service The Zthes XML format The Zthes web service So what? What now?
4. Vocabularies Vocabularies are sets of terms used to tag documents. Their use increases both recall and precision of searching. At the simplest level, all Flickr tags form a vocabulary. Richer vocabularies have semantics and structure . Thesauri, taxonomies, ontologies, authority lists and control lists are all more or less the same thing as vocabularies. (Purists will hate me for saying that.)?
5. Semantics and structure Terms may carry scope notes. Terms may be listed with synonyms. Links may exist between terms: BT (broader term) e.g. cat BT vehicle NT (narrower term) e.g. animal NT dog UF (use for, preferred term) e.g. dog UF hound USE (non-preferred term) e.g. hound USE dog RT (related term) e.g. vehicle RT travel Mappings to other languages are possible. (Some semantics and structure can be induced by usage patterns in unstructured vocabularies.)?
6. Sample terms from a vocabulary dog : UF hound, canine BT animal NT dachsund, dalmatian, poodle Scope note: includes domestic dogs only; wolves and African hunting dogs are listed separately. animal : UF creature, beast, brute BT organism NT dog, cat, Brachiosaurus altithorax , slug RT life
7. Searching with a vocabulary Two main ways to use a vocabulary: 1. Visible to the user. Can be browsed to find suitable search terms. 2. Behind the scenes: non-preferred terms mapped to preferred terms or synonyms expanded. Expansion of query terms can include expansion to broader and narrower terms, or translated terms. Relevance ranking can take term-closeness into account.
8. Becta B ritish E ducational C ommunications and T echnology A gency. An agency of the Department of Education and Skills. Oversees procurement of IT equipment for schools. In charge of e-learning strategy.
9. Becta VMS Creating vocabularies is a pain. Tools are expensive. Becta needed to facilitate vocabulary creation for Curriculum Online. Created the Vocabulary Management System (VMS)? -- Studio (not available without training)? -- Bank: http://bank.vocman.com/ -- Spine
12. Downloaded XML <Zthes xmlns:dc='http://purl.org/dc/elements/1.1'> <thes> <dc:title>Early Years Foundation Stage</dc:title> <dc:description>Curriculum guidance for the Foundation Stage in England</dc:description> <dc:date>22/10/2007</dc:date> <dc:identifier>eyfs</dc:identifier> <dc:language>En-GB</dc:language> <thesNote label='version'>1.0</thesNote> <thesNote label='globallyUniqueId'>1001-eyfs</thesNote> <thesNote label='authority' vocab='0001-Authority'>QCA</thesNote> </thes> <term> <termId>000639</termId> <termName>Early Support</termName> <termType>PT</termType> <termLanguage>En-GB</termLanguage> <termSortKey>3</termSortKey> <termNote label='globallyUniqueId'>1001-000639</termNote> <termNote label='authority' vocab='0001-Authority'>QCA</termNote> <termNote label='source'>1001-eyfs</termNote> <termNote label='curriculumType' vocab='0001-CurriculumType'>category2</termNote> <relation> <relationType>BT</relationType> <termId>000635</termId> <termName>Inclusive Practice</termName> <termType>PT</termType> <termLanguage>En-GB</termLanguage> </relation> [...] </term> [...]
13. Downloaded XML: the vocabulary <Zthes xmlns:dc='http://purl.org/dc/elements/1.1'> <thes> <dc:title>Early Years Foundation Stage</dc:title> <dc:description>Curriculum guidance for the Foundation Stage in England</dc:description> <dc:date>22/10/2007</dc:date> <dc:identifier>eyfs</dc:identifier> <dc:language>En-GB</dc:language> <thesNote label='version'>1.0</thesNote> <thesNote label='globallyUniqueId'>1001-eyfs</thesNote> <thesNote label='authority' vocab='0001-Authority'>QCA</thesNote> </thes> <term> <termId>000639</termId> <termName>Early Support</termName> <termType>PT</termType> <termLanguage>En-GB</termLanguage> <termSortKey>3</termSortKey> <termNote label='globallyUniqueId'>1001-000639</termNote> <termNote label='authority' vocab='0001-Authority'>QCA</termNote> <termNote label='source'>1001-eyfs</termNote> <termNote label='curriculumType' vocab='0001-CurriculumType'>category2</termNote> <relation> <relationType>BT</relationType> <termId>000635</termId> <termName>Inclusive Practice</termName> <termType>PT</termType> <termLanguage>En-GB</termLanguage> </relation> [...] </term> [...]
14. Downloaded XML: a term <Zthes xmlns:dc='http://purl.org/dc/elements/1.1'> <thes> <dc:title>Early Years Foundation Stage</dc:title> <dc:description>Curriculum guidance for the Foundation Stage in England</dc:description> <dc:date>22/10/2007</dc:date> <dc:identifier>eyfs</dc:identifier> <dc:language>En-GB</dc:language> <thesNote label='version'>1.0</thesNote> <thesNote label='globallyUniqueId'>1001-eyfs</thesNote> <thesNote label='authority' vocab='0001-Authority'>QCA</thesNote> </thes> <term> <termId>000639</termId> <termName>Early Support</termName> <termType>PT</termType> <termLanguage>En-GB</termLanguage> <termSortKey>3</termSortKey> <termNote label='globallyUniqueId'>1001-000639</termNote> <termNote label='authority' vocab='0001-Authority'>QCA</termNote> <termNote label='source'>1001-eyfs</termNote> <termNote label='curriculumType' vocab='0001-CurriculumType'>category2</termNote> <relation> <relationType>BT</relationType> <termId>000635</termId> <termName>Inclusive Practice</termName> <termType>PT</termType> <termLanguage>En-GB</termLanguage> </relation> [...] </term> [...]
15. Downloaded XML: a relation <Zthes xmlns:dc='http://purl.org/dc/elements/1.1'> <thes> <dc:title>Early Years Foundation Stage</dc:title> <dc:description>Curriculum guidance for the Foundation Stage in England</dc:description> <dc:date>22/10/2007</dc:date> <dc:identifier>eyfs</dc:identifier> <dc:language>En-GB</dc:language> <thesNote label='version'>1.0</thesNote> <thesNote label='globallyUniqueId'>1001-eyfs</thesNote> <thesNote label='authority' vocab='0001-Authority'>QCA</thesNote> </thes> <term> <termId>000639</termId> <termName>Early Support</termName> <termType>PT</termType> <termLanguage>En-GB</termLanguage> <termSortKey>3</termSortKey> <termNote label='globallyUniqueId'>1001-000639</termNote> <termNote label='authority' vocab='0001-Authority'>QCA</termNote> <termNote label='source'>1001-eyfs</termNote> <termNote label='curriculumType' vocab='0001-CurriculumType'>category2</termNote> <relation> <relationType>BT</relationType> <termId>000635</termId> <termName>Inclusive Practice</termName> <termType>PT</termType> <termLanguage>En-GB</termLanguage> </relation> [...] </term> [...]
16. The Zthes format An open, freely available, specification: http://zthes.z3950.org/ Very simple ¨C no attempt to generalise. In use by various organisations in different domains: Becta (education)? Synapse/Factiva (business intelligence)? ELVIS/Decomate II/Elise II (European projects)? Natural History Museum (biological taxonomy)? OCLC (libraries)? Was considered (along with SKOS and MARC authorities)? by the BS 8723-5:2007 part 5 committee. Defeated by NIH syndrome.
17. The Z in Zthes ... some history Zthes started life as a Z39.50 profile in 1999. (ANSI/NISO Z39.50 is a venerable search/retrieve standard.)? Zthes was quickly expanded by the addition of an XML format. An SRU profile for Zthes followed in 2003. (SRU is Search/Retrieve via URL.)? XML format and SRU profile are currently at v1.0 (2006). Some small additions on the way to support OCLC's use.
18. Zthes SRU in the Becta VMS Requests are REST-like URLs: http://bank.vocman.com/bank-webapp/sru/CurrentTerms operation=SearchRetrieve maximumRecords=10 recordSchema=zthes query=zthes.relType="BT" and zthes.termGuid="1000-KSWO-0005" Search for records related by ¡°BT¡± (broader term) to the term with identified ¡°1000-KSWO-0005¡±, and return the first ten. query contains a CQL query: simple but powerful. (This URL omits SRU's version parameter ¨C naughty!)?
23. So what? The advantage that all web services bring: loose coupling. As useful as the Becta VMS Bank is, it is not the only useful application of the vocabularies. Using the Zthes/SRU web service, anyone can make applications that search and navigate vocabularies. (And they should work with other Zthes/SRU vocabularies.)?
24. So what? The advantage that all web services bring: loose coupling. As useful as the Becta VMS Bank is, it is not the only useful application of the vocabularies. Using the Zthes/SRU web service, anyone can make applications that search and navigate vocabularies. (And they should work with other Zthes/SRU vocabularies.)? I will not insult your intelligence by using the word ¡°mashup¡±.
25. What now? Becta has to demonstrate that its facilities are useful ... ... which means it has to make them useful. ¨C Do these facilities help you? ¨C If so, how might you use them? ¨C If not, could they be made useful? ¨C How? Feedback, please! ¨C Talk to me. ¨C Email me on <mike@miketaylor.org.uk> ¨C http://www.surveymonkey.com/s.aspx ?sm=YJt7RtxHmJQEgQFvXHZSTQ%3d%3d