Data Journalism (City Online Journalism wk8)Paul Bradshaw
?
The document provides an overview of data journalism including what it is, sources for finding data, and tools for analyzing and visualizing data. It discusses scraping data from websites, using tools like Google searches, spreadsheets, and APIs to extract structured data. Ethical considerations around scraping are also mentioned. The document concludes with assigning students to group blogs and individual strategies focusing on different aspects of online journalism.
Learning Multilingual Semantics from Big Data on the WebGerard de Melo
?
This document summarizes Gerard de Melo's presentation on learning multilingual semantics from big data on the web. It discusses how lexical and taxonomic knowledge can be extracted at large scale from online resources like Wiktionary, Wikipedia, and WordNet. Methods are presented for merging structured data like knowledge graphs and integrating taxonomies across languages using techniques like linear program relaxation and belief propagation. The goal is to build large yet reasonably clean multilingual knowledge bases to power applications in areas like semantic search and the digital humanities.
As the scholarly communication system evolves to become natively web-based and starts supporting the communication of a wide variety of objects, the manner in which its essential functions ¨C registration, certification, awareness, archiving - are fulfilled co-evolves. This presentation focuses on the nature of the archival function based on a perspective of the future scholarly communication infrastructure. This presentation, prepared for a meeting in June 2014, is based on and updates a previous one that was prepared for a January 2014 meeting. The latter is available at http://www.slideshare.net/atreloar/scholarly-archiveofthefuture
Planning for learning in maritime educationStein Laugerud
?
This document summarizes key concepts in planning for learning in maritime education. It covers learning outcomes, student activities, teaching methods, and assessment. Specifically, it discusses:
1. The Norwegian Qualification Framework's learning outcomes for higher education, including knowledge, skills, and general competence.
2. Blooms Taxonomy for cognitive learning outcomes ranging from knowledge to evaluation.
3. Factors to consider when planning student activities, such as teaching styles, sociocultural learning theory, and tools/artefacts.
4. The role of technology in transforming conceptions of learning and social memory, and how this affects formal education.
Maritime education - cornerstone for sustainable development of competitive m...Maurice Jansen
?
This presentation is a reflection of an article written by Maurice Jansen and Roberts Gailitis. The aim of this article is to uncover the importance of maritime education for sustainable development of EU maritime cluster and to define a framework for longitudinal research program, providing understanding of the relationship between maritime education, knowledge infrastructure and national and European cluster competitiveness.
An Overview of the area and the current potential for the open technologies to be used, and some suggestions as to why they are not as heavily used as they should be.
JISC repositories and preservation programme: Plenary presentation 2009Kevin Ashley
?
The document summarizes the Repositories and Preservation Programme that was conducted by JISC, looking back at what was asked of participants and what was accomplished, and looking forward to the future direction. Specifically:
1) JISC asked participants to create more repositories, enhance existing ones, and provide services to help and exploit repository content through specific targeted projects.
2) Participants established more repositories, built on existing successes, and created services to help with discovery, deposit, and application profiles.
3) Looking ahead, the document suggests moving away from individual projects and toward more joined-up international activities, exposing and sharing content across repositories to better support research, teaching, and learning.
This document discusses natural language processing for Irish and some of the challenges. It provides an overview of NLP and challenges in processing human languages due to their complexity. Machine translation from English to Irish is discussed along with challenges in processing user-generated content in Irish on social media due to unstructured text and features like code-switching. The importance of technology for supporting minority languages is emphasized and examples of applying NLP to social media data in Irish are described.
This document summarizes a library instruction session for a CHEM 401 class. The session covered evaluating information sources, databases for chemistry research including ACS, ScienceDirect, Scopus, Web of Science and PubMed, and citation styles. Students worked in groups to analyze a database, then presented their findings to the class. The session aimed to teach students how to effectively search for and evaluate scholarly sources for their chemistry research. Contact information was provided for the librarian and a feedback form for the session.
Getting Intimate with Your Data - Working Our Way out of the LabShawn Day
?
This document discusses various text analysis and data visualization tools and techniques. It provides examples of network and temporal analyses that have been performed on textual data from the Harvard Business Review to reveal connections between business and society over time. Several challenges of working with different types of complex data like text, images, time and networks are also outlined. The document promotes thinking longer term about analyzing and presenting interconnected data for future scholarship.
Figshare is an open data repository that allows researchers to publish all of their research data online for public access within minutes. This speeds up the publishing process compared to traditional journals, which can take years and only share a small portion of the data. Figshare aims to improve collaboration and reproducibility of research by making all data citable and discoverable. It has over 1.5 million public research articles and is used by many universities worldwide to help students and researchers more easily access and share data.
ALIAOnline Practical Linked (Open) Data for Libraries, Archives & MuseumsJon Voss
?
This document discusses practical applications of Linked Open Data (LOD) for libraries, archives, and museums. It describes how LOD allows these institutions to publish structured data on the web in ways that are interoperable and can be connected to other open datasets. Examples are given of how LOD is being used by various institutions to share metadata, images, and other cultural heritage assets on the web in open, machine-readable formats. The presenter argues that LOD represents a new paradigm that these cultural organizations should embrace to make their collections more accessible and useful on the web.
Deep Content Learning in Traffic Prediction and Text ClassificationHPCC Systems
?
As part of the 2018 HPCC Systems Community Day event:
In this talk, Jingqing will introduce recent advances at the Data Science Institute, Imperial College London, and focus on a general framework named Deep Content Learning. Two recent projects will be discussed as examples. In the traffic prediction project, we released a new large-scale traffic dataset with auxiliary information including search queries from Baidu Map app and proposed hybrid models to achieve state-of-the-art prediction accuracy. The other project on zero-shot text classification integrated semantic knowledge and used a two-phase architecture to tackle the challenging zero-shot learning in textual data. The integration of TensorLayer and HPCC Systems will be discussed in the talk.
Jingqing Zhang is a 1st-year PhD (HiPEDS) at Data Science Institute, Imperial College London under the supervision of Prof. Yi-Ke Guo. His research interest includes Text Mining, Data Mining, Deep Learning and their applications. He received his MRes degree in Computing from Imperial College with Distinction in 2017 and BEng in Computer Science and Technology from Tsinghua University in 2016.
Semantic Integration with Apache Jena and StanbolAll Things Open
?
The document provides an overview of semantic integration using Apache Jena and Apache Stanbol. It discusses using semantic web technologies like RDF, ontologies, and vocabularies to integrate data from various sources and allow machines and people to better understand and use the integrated information. It also provides technical details on Apache Jena, which can store and query RDF data, and Apache Stanbol, a semantic processing engine that can enhance content with metadata.
Casda 2013 n on-fiction current eventsPaige Jaeger
?
The document summarizes a presentation by Greg Stapleton and Paige Jaeger titled "CASDA 2012". The presentation focuses on connecting students' learning to their interests and lives outside of school through meaningful use of technology. It notes that students are highly engaged with online communities and knowledge creation after school in contrast to typical school learning. The study involved over 1200 students, parents, teachers and administrators.
Libraries and Linked Data: Looking to the Future (3)ALATechSource
?
This document provides an overview of tools for linking data, vocabularies, and application programming. It discusses common types of entities to describe like people, places, concepts and events. It also lists vocabularies and ontologies for identifying these entities as well as tools for developing vocabularies and metadata. Finally, it outlines several programming tools and frameworks for working with semantic data, building applications, and querying datasets, including Apache Jena, Pellet, Snoggle and Virtuoso.
Research results in peer-reviewed publications are reproducible, right? If only it was so clear cut. With high profile paper retractions and pushes for better data sharing by funders, publishers and the community, the spotlight is now focussing on the whole way research is conducted around the world.
This talk from the Software Sustainability Institute's Collaborations Workshop 2014 describes how cloud computing, with Microsoft Azure, is helping researchers realize the goals of scientific reproducibility.
Find out more at www.azure4research.com
This document provides an overview of library and research basics. It discusses contacting the research and instruction librarian Laksamee Putnam for research help. It covers evaluating information sources, using keywords and connectors in searches, and finding books and articles in the library catalog and databases. It also provides tips for analyzing websites and evaluating information. The document demonstrates how to search for information on a viral video and encourages students to contact the librarian with any other research questions.
This document provides a SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis of open-source software (OSS). It notes that while OSS has strengths like low costs and a large community, its biggest challenge is supporting software without strict governance rules. OSS also faces threats from established institutions resistant to change and past perceptions that liken it to outdated systems. The document advocates for "next generation" library catalogs that go beyond just finding information to helping users understand content through services like analyzing word frequencies, phrases and numeric metadata.
All Things Open 2014 - Day 1
Wednesday, October 22nd, 2014
Arfon Smith
Chief Scientist for GitHub
Open Government/Open Data
What Academia Can Learn from Open Source
Find more by Arfon here: https://speakerdeck.com/arfon
Santa Fe Complex
March 13, 2009
Martin Klein, Frank McCown,
Joan Smith, Michael L. Nelson
Department of Computer Science
Old Dominion University
Norfolk VA
WLMA 14 Conference Keynote PPT - Paige Jaeger: Connecting Creatively with the CCPaige Jaeger
?
Washington Library Media Association Conference Keynote - It was my pleasure to share ways to challenge, reach and teach the Millennials at your conference! Carpe Diem! Let us think!
NYAI #27: Cognitive Architecture & Natural Language Processing w/ Dr. Catheri...Maryam Farooq
?
For more AI talks, visit: nyai.co
These slides are from NYAI #27: Cognitive Architecture & Natural Language Processing w/ Dr. Catherine Havasi, which took place Tues, 12/18/19 at Kirkland & Ellis NYC.
[Speaker Bio] Dr. Catherine Havasi is a technology strategist, artificial intelligence researcher, and entrepreneur. In the late 90s, she co-founded the Common Sense Computing Initiative, or ConceptNet, the first crowd-sourced project for artificial intelligence and the largest open knowledge graph for language understanding. ConceptNet has played a role in thousands of AI projects and will be turning 20 next year. She has started several companies commercializing AI research, including Luminoso where she acts as Chief Strategy Officer. She is currently a visiting scientist at the MIT Media Lab where she works on computational creativity and previously directed the Digital Intuition group.
[Abstract] People who build everything from entertainment experiences to financial management face a dilemma: how can you scale what you¡¯re building for broader consumption, yet maintain the personalization that makes it special? A fundamental tension exists between building something individualized, and scaling it to consumers such as visitors at a theme park, or gamers exploring the latest Zelda adventure. True disruption happens when we overcome the idea that one must sacrifice personalization to achieve mass production ¡ª like it has in advertising, recommendations, and web search.
Artificial Intelligence practitioners, especially in natural language understanding, dialogue, and cognitive modeling, face the same issue: how can we personalize our models for all audiences without relying on unscalable efforts such as writing specific rules, building dialogue trees, or designing knowledge graphs? Catherine Havasi believes we can remove this dichotomy and achieve ¡°mass personalization.¡± In this session we¡¯ll discuss how to understand domain text and build believable digital characters. We¡¯ll talk about how adding a little common sense, cognitive architectures, and planning is making this all possible.
nyai.co
This document discusses natural language processing for Irish and some of the challenges. It provides an overview of NLP and challenges in processing human languages due to their complexity. Machine translation from English to Irish is discussed along with challenges in processing user-generated content in Irish on social media due to unstructured text and features like code-switching. The importance of technology for supporting minority languages is emphasized and examples of applying NLP to social media data in Irish are described.
This document summarizes a library instruction session for a CHEM 401 class. The session covered evaluating information sources, databases for chemistry research including ACS, ScienceDirect, Scopus, Web of Science and PubMed, and citation styles. Students worked in groups to analyze a database, then presented their findings to the class. The session aimed to teach students how to effectively search for and evaluate scholarly sources for their chemistry research. Contact information was provided for the librarian and a feedback form for the session.
Getting Intimate with Your Data - Working Our Way out of the LabShawn Day
?
This document discusses various text analysis and data visualization tools and techniques. It provides examples of network and temporal analyses that have been performed on textual data from the Harvard Business Review to reveal connections between business and society over time. Several challenges of working with different types of complex data like text, images, time and networks are also outlined. The document promotes thinking longer term about analyzing and presenting interconnected data for future scholarship.
Figshare is an open data repository that allows researchers to publish all of their research data online for public access within minutes. This speeds up the publishing process compared to traditional journals, which can take years and only share a small portion of the data. Figshare aims to improve collaboration and reproducibility of research by making all data citable and discoverable. It has over 1.5 million public research articles and is used by many universities worldwide to help students and researchers more easily access and share data.
ALIAOnline Practical Linked (Open) Data for Libraries, Archives & MuseumsJon Voss
?
This document discusses practical applications of Linked Open Data (LOD) for libraries, archives, and museums. It describes how LOD allows these institutions to publish structured data on the web in ways that are interoperable and can be connected to other open datasets. Examples are given of how LOD is being used by various institutions to share metadata, images, and other cultural heritage assets on the web in open, machine-readable formats. The presenter argues that LOD represents a new paradigm that these cultural organizations should embrace to make their collections more accessible and useful on the web.
Deep Content Learning in Traffic Prediction and Text ClassificationHPCC Systems
?
As part of the 2018 HPCC Systems Community Day event:
In this talk, Jingqing will introduce recent advances at the Data Science Institute, Imperial College London, and focus on a general framework named Deep Content Learning. Two recent projects will be discussed as examples. In the traffic prediction project, we released a new large-scale traffic dataset with auxiliary information including search queries from Baidu Map app and proposed hybrid models to achieve state-of-the-art prediction accuracy. The other project on zero-shot text classification integrated semantic knowledge and used a two-phase architecture to tackle the challenging zero-shot learning in textual data. The integration of TensorLayer and HPCC Systems will be discussed in the talk.
Jingqing Zhang is a 1st-year PhD (HiPEDS) at Data Science Institute, Imperial College London under the supervision of Prof. Yi-Ke Guo. His research interest includes Text Mining, Data Mining, Deep Learning and their applications. He received his MRes degree in Computing from Imperial College with Distinction in 2017 and BEng in Computer Science and Technology from Tsinghua University in 2016.
Semantic Integration with Apache Jena and StanbolAll Things Open
?
The document provides an overview of semantic integration using Apache Jena and Apache Stanbol. It discusses using semantic web technologies like RDF, ontologies, and vocabularies to integrate data from various sources and allow machines and people to better understand and use the integrated information. It also provides technical details on Apache Jena, which can store and query RDF data, and Apache Stanbol, a semantic processing engine that can enhance content with metadata.
Casda 2013 n on-fiction current eventsPaige Jaeger
?
The document summarizes a presentation by Greg Stapleton and Paige Jaeger titled "CASDA 2012". The presentation focuses on connecting students' learning to their interests and lives outside of school through meaningful use of technology. It notes that students are highly engaged with online communities and knowledge creation after school in contrast to typical school learning. The study involved over 1200 students, parents, teachers and administrators.
Libraries and Linked Data: Looking to the Future (3)ALATechSource
?
This document provides an overview of tools for linking data, vocabularies, and application programming. It discusses common types of entities to describe like people, places, concepts and events. It also lists vocabularies and ontologies for identifying these entities as well as tools for developing vocabularies and metadata. Finally, it outlines several programming tools and frameworks for working with semantic data, building applications, and querying datasets, including Apache Jena, Pellet, Snoggle and Virtuoso.
Research results in peer-reviewed publications are reproducible, right? If only it was so clear cut. With high profile paper retractions and pushes for better data sharing by funders, publishers and the community, the spotlight is now focussing on the whole way research is conducted around the world.
This talk from the Software Sustainability Institute's Collaborations Workshop 2014 describes how cloud computing, with Microsoft Azure, is helping researchers realize the goals of scientific reproducibility.
Find out more at www.azure4research.com
This document provides an overview of library and research basics. It discusses contacting the research and instruction librarian Laksamee Putnam for research help. It covers evaluating information sources, using keywords and connectors in searches, and finding books and articles in the library catalog and databases. It also provides tips for analyzing websites and evaluating information. The document demonstrates how to search for information on a viral video and encourages students to contact the librarian with any other research questions.
This document provides a SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis of open-source software (OSS). It notes that while OSS has strengths like low costs and a large community, its biggest challenge is supporting software without strict governance rules. OSS also faces threats from established institutions resistant to change and past perceptions that liken it to outdated systems. The document advocates for "next generation" library catalogs that go beyond just finding information to helping users understand content through services like analyzing word frequencies, phrases and numeric metadata.
All Things Open 2014 - Day 1
Wednesday, October 22nd, 2014
Arfon Smith
Chief Scientist for GitHub
Open Government/Open Data
What Academia Can Learn from Open Source
Find more by Arfon here: https://speakerdeck.com/arfon
Santa Fe Complex
March 13, 2009
Martin Klein, Frank McCown,
Joan Smith, Michael L. Nelson
Department of Computer Science
Old Dominion University
Norfolk VA
WLMA 14 Conference Keynote PPT - Paige Jaeger: Connecting Creatively with the CCPaige Jaeger
?
Washington Library Media Association Conference Keynote - It was my pleasure to share ways to challenge, reach and teach the Millennials at your conference! Carpe Diem! Let us think!
NYAI #27: Cognitive Architecture & Natural Language Processing w/ Dr. Catheri...Maryam Farooq
?
For more AI talks, visit: nyai.co
These slides are from NYAI #27: Cognitive Architecture & Natural Language Processing w/ Dr. Catherine Havasi, which took place Tues, 12/18/19 at Kirkland & Ellis NYC.
[Speaker Bio] Dr. Catherine Havasi is a technology strategist, artificial intelligence researcher, and entrepreneur. In the late 90s, she co-founded the Common Sense Computing Initiative, or ConceptNet, the first crowd-sourced project for artificial intelligence and the largest open knowledge graph for language understanding. ConceptNet has played a role in thousands of AI projects and will be turning 20 next year. She has started several companies commercializing AI research, including Luminoso where she acts as Chief Strategy Officer. She is currently a visiting scientist at the MIT Media Lab where she works on computational creativity and previously directed the Digital Intuition group.
[Abstract] People who build everything from entertainment experiences to financial management face a dilemma: how can you scale what you¡¯re building for broader consumption, yet maintain the personalization that makes it special? A fundamental tension exists between building something individualized, and scaling it to consumers such as visitors at a theme park, or gamers exploring the latest Zelda adventure. True disruption happens when we overcome the idea that one must sacrifice personalization to achieve mass production ¡ª like it has in advertising, recommendations, and web search.
Artificial Intelligence practitioners, especially in natural language understanding, dialogue, and cognitive modeling, face the same issue: how can we personalize our models for all audiences without relying on unscalable efforts such as writing specific rules, building dialogue trees, or designing knowledge graphs? Catherine Havasi believes we can remove this dichotomy and achieve ¡°mass personalization.¡± In this session we¡¯ll discuss how to understand domain text and build believable digital characters. We¡¯ll talk about how adding a little common sense, cognitive architectures, and planning is making this all possible.
nyai.co
AI and Academic Writing, Short Term Course in Academic Writing and Publication, UGC-MMTTC, MANUU, 25/02/2025, Prof. (Dr.) Vinod Kumar Kanvaria, University of Delhi, vinodpr111@gmail.com
Hannah Borhan and Pietro Gagliardi OECD present 'From classroom to community ...EduSkills OECD
?
Hannah Borhan, Research Assistant, OECD Education and Skills Directorate and Pietro Gagliardi, Policy Analyst, OECD Public Governance Directorate present at the OECD webinar 'From classroom to community engagement: Promoting active citizenship among young people" on 25 February 2025. You can find the recording of the webinar on the website https://oecdedutoday.com/webinars/
How to Configure Proforma Invoice in Odoo 18 SalesCeline George
?
In this slide, we¡¯ll discuss on how to configure proforma invoice in Odoo 18 Sales module. A proforma invoice is a preliminary invoice that serves as a commercial document issued by a seller to a buyer.
64. The brick walls are not there to keep us out. The brick walls are there to give us a chance to show how badly we want something. ------ Randy Pausch
75. For more information Randy Pausch¡¯s Last Speech How to use Google to do research ÀîЦÀ´ Pure Pleasure - Reborn ¡¶ ×öʱ¼äµÄÅóÓÑ¡· ̨ÍåÇ廪´óѧÅíÃ÷»Ô½ÌÊÚ ¡° ˶ʿ°àÑо¿ËùÐÂÉúÊֲᡱ ¡° ÈçºÎ×ö Literature Survey ²¢¾ö¶¨ÌâÄ¿¡± Gigapedia Google Translate Engkoo Ó¢¿â WikiCFP Google Groups / Mailing lists ML-news UAI Connectionists Resys Topic-models UCI Machine Learning Repository Videolecture.net Academic Earth Microsoft Research Yahoo! Research
#75: "Stay foolish" is probably another way of expressing the Zen idea that you should keep "beginner's mind", the state of curiosity you have when you are a novice at something and learning. You're open to new things (because everything's new) and aren't afraid to make mistakes. The alternative would be the sort of attitude when things get routine, and you start doing things automatically, without really paying attention or giving it your full effort. Stay hungry just means to not become lazy and satisfied.