The document discusses search engine optimization (SEO) best practices for on-page elements of a website about "Acme People Search". It recommends that the page title, meta description, H1 heading, and internal links include the exact match keyword phrase. The keyword should appear 4 times naturally in the 600-word body content. Both internal linking and avoiding outbound link leakage are also advised.
The document discusses search engine optimization (SEO) best practices for on-page elements of a website about "Acme People Search". It recommends that the page title, meta description, H1 heading, and internal links include the exact match keyword phrase. The keyword should appear 4 times naturally in the 600-word body content. Both internal linking and building relevant backlinks from other sites are also emphasized.
Fluidinfo: Publishing in an Openly Writeable WorldFluidinfo
油
Fluidinfo is an openly writeable hosted service that allows anyone to store, share, search and annotate data by tagging objects. Objects can represent anything and tags attach data to objects. Namespaces provide organization and context. Emergent behavior and conventions can develop from bottom-up tagging. Queries can extract data across sources by leveraging commonly tagged objects. Publishers could think of themselves as API providers to unlock value from their content. Fluidinfo provides a platform for open, typed data without strict ontologies where a network of annotations can develop.
Linked Data Light - Linkaggregation mit BEACONJakob .
油
1. BEACON files provide a lightweight way to aggregate link data between URIs by using simple prefix-target mappings.
2. When a URI is looked up, BEACON files can provide additional useful information like a description, label, or number of search results.
3. While less expressive than RDF, BEACON is a simple format that works for aggregating links between resources on the web.
Social network analysis (SNA) - Big data and social data - Telecommunications...Wael Elrifai
油
Social Network Analysis: Practical Uses and Implementation is a presentation that discusses social network analysis and its practical applications. It introduces key concepts such as social networks, social network analysis, roles in social networks, and graph theory. It also covers metrics and implementations of social network analysis, including calculating metrics from social networks and recommended approaches involving data preparation, metric calculation, model creation and scoring, and measurement. The presentation provides an overview of how social network analysis can be a useful tool for understanding relationships and influence.
WTF is the Semantic Web and Linked DataJuan Sequeda
油
This document provides an overview of the Semantic Web and Linked Data. It begins by explaining some of the limitations of the current web, which treats all content as unstructured documents rather than structured data. It then introduces the Semantic Web and its data model, RDF, which allows publishing structured data on the web in a standardized way using graph-based representations. This enables linking different data sources on the web, addressing the problem of data silos. The document provides examples of representing bibliographic data about books in RDF and linking it to other datasets, demonstrating how the Semantic Web enables integrating and finding related information on the web.
The document provides an overview of the Semantic Web and linked data. It defines the Semantic Web as publishing structured data on the web in a format that computers can understand, rather than just documents. Linked data follows principles like using URIs to identify things and linking data across sources to integrate information. Query languages like SPARQL can then be used to search across linked data. Examples show how data can be published as RDF and linked to create a global database. Applications that consume and combine linked data from multiple sources are discussed.
This document provides an introduction to linked data and the semantic web. It discusses how the current web contains documents that are difficult for computers to understand, but linked data publishes structured data on the web using common standards like RDF and URIs. This allows data to be interlinked and queried using SPARQL. Publishing data as linked data makes the web appear as one huge global database. There are now many incentives for organizations to publish their data as linked data, as it enables data sharing and integration in addition to potential benefits like semantic search engine optimization. Linked data is a growing trend with many large organizations and governments now publishing data.
My Linked Data tutorial presentation that I presented at Semtech 2012.
http://semtechbizsf2012.semanticweb.com/sessionPop.cfm?confid=65&proposalid=4724
In October of 2011, the Library of Congress released a statement outlining its efforts to move away from the MARC 21 format and toward another carrier for library data. According to the statement, "Linked Data principles and mechanisms" will be the focus of this project. You may be wondering, what is Linked Data? What could it mean for our library catalogs? How do we create Linked Data? In this session, Emily Nimsakont, the NLCs Cataloging Librarian, will answer those questions and more.
NCompass Live - Jan. 11, 2012.
The document discusses a webinar presented by NISO and DCMI on Schema.org and Linked Data. The webinar provides an overview of Schema.org and Linked Data, examines the advantages and challenges of using RDF and Linked Data, looks at Schema.org in more detail, and discusses how Schema.org and Linked Data can be combined. The goals of the webinar are to illustrate the different design choices for identifying entities and describing structured data, integrating vocabularies, and incentives for publishing accurate data, as well as to help guide adoption of Schema.org and Linked Data approaches.
Linked data demystified:Practical efforts to transform CONTENTDM metadata int...Cory Lampert
油
This document outlines a presentation about transforming metadata from a CONTENTdm digital collection into linked data. It discusses the concepts of linked data, including defining linked data, linked data principles, technologies and standards. It then explains how these concepts can be applied to digital collection records, including anticipated challenges working with CONTENTdm. The document describes a linked data project at UNLV Libraries to transform collection records into linked data and publish it on the linked data cloud. It provides tips for creating metadata that is more suitable for linked data.
This is part 2 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
This is part 2 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
This document discusses the importance of metadata from a search engine perspective. It outlines how search engines have evolved to make use of metadata over time, from directly extracting metadata to enhance search results, to being able to search metadata directly and provide direct answers to queries. The document also notes that metadata adoption on the web has increased over time, with around 31% of webpages and 5% of domains now containing some metadata, primarily in the form of RDFa. Metadata allows search engines to better understand and organize content to provide more relevant search results.
This document provides an introduction to MongoDB and Python. It discusses how to install and run MongoDB, set up a Python environment connected to MongoDB, perform basic read and write operations on MongoDB collections from Python. It also covers common patterns for modeling data in MongoDB like embedding documents and indexing, and integrating MongoDB with popular Python web frameworks.
This document is a student's assignment submission for a semantic web course. It includes the student's name and details, followed by their responses to several questions about widely used ontologies on the Web of Data, formats for embedding structured data into HTML, the implication of using owl:sameAs, approaches for connecting semantic web resources, whether a resource can have multiple representations, and developing an RDFa web page with external ontologies.
A Jeff Young presentation for co-asis&t on the emerging topic of Linked Data and how libraries of all kinds can extend their interaction with the Web.
For more information visit our website:http://www.asis.org/Chapters/coasis
Talk about Exploring the Semantic Web, and particularly Linked Data, and the Rhizomer approach. Presented August 14th 2012 at the SRI AIC Seminar Series, Menlo Park, CA
The document discusses the evolution of the web from a "Web of Documents" to a "Semantic Web." It argues that while the vision of a Semantic Web proposed in 2001 has yet to be fully realized, the pieces are falling into place. Examples of linked open data projects show how structured data from sources like Wikipedia, the BBC, and government data is being interconnected using semantic web technologies. The use of semantics on the web brings value by sometimes solving narrow problems and linking data beyond specific applications.
This document discusses semantic web technologies including linked data and how they can help solve information needs on the current web. It provides an overview of semantic web standards like RDF and SPARQL and examples of datasets like DBPedia that publish structured data on the web in RDF format and link to each other. It also demonstrates tools for extracting structured data from websites and a mobile app built using open linked data.
San Diego Meetup - Sem Web Overview - 2009.04.27Eric Franzon
油
This document introduces semantic technologies and the semantic web. It explains that the semantic web (Web 3.0) aims to link data on the web through the use of unique identifiers and relationships between things represented as triples. It provides examples of triples and how they can be used to represent relationships between entities. It also gives an overview of RDF, schemas for linked data, and the SPARQL query language for querying linked data.
Intro to Linked Open Data in Libraries Archives & Museums.Jon Voss
油
This document discusses a presentation on Linked Open Data in libraries, archives, and museums. The presentation introduces Linked Open Data and how it is being used in cultural heritage institutions. It discusses representing data as graphs using triples and RDF, important vocabularies and ontologies, and following Tim Berners-Lee's principles of Linked Data. The presentation also covers legal and licensing considerations for publishing open cultural data on the web.
This document introduces linked data and discusses how publishing data as linked RDF triples on the web allows for a global linked database. It explains that linked data uses HTTP URIs to identify things and links data from different sources to be queried using SPARQL. Publishing linked data provides benefits like being able to integrate and discover related data on the web. Tools are available to convert existing data or publish new data as linked open data.
The document provides an overview of semantic technologies and discusses their increasing mainstream adoption. It notes that Microsoft purchased Powerset in 2008, Apple purchased Siri in 2010, and Google bought Metaweb and released semantic search in 2013. It discusses how semantic technologies allow for interoperability through shared representations and reasoning. Examples are given of early semantic search applications from 1999-2002 and an operational semantic electronic medical record application deployed in 2006.
Keynote by Dan brickley at the International Conference on Dublin Core and Metadata Applications (DC-2012) during the Knowledge Technology Week (KTW2012). September 3 - 7, 2012. Kuching, Sarawak, Malaysia
Packaging your App for AppExchange Managed Vs Unmanaged.pptxmohayyudin7826
油
Learn how to package your app for Salesforce AppExchange with a deep dive into managed vs. unmanaged packages. Understand the best strategies for ISV success and choosing the right approach for your app development goals.
More Related Content
Similar to Peak cloud based data - linked data (20)
This document provides an introduction to linked data and the semantic web. It discusses how the current web contains documents that are difficult for computers to understand, but linked data publishes structured data on the web using common standards like RDF and URIs. This allows data to be interlinked and queried using SPARQL. Publishing data as linked data makes the web appear as one huge global database. There are now many incentives for organizations to publish their data as linked data, as it enables data sharing and integration in addition to potential benefits like semantic search engine optimization. Linked data is a growing trend with many large organizations and governments now publishing data.
My Linked Data tutorial presentation that I presented at Semtech 2012.
http://semtechbizsf2012.semanticweb.com/sessionPop.cfm?confid=65&proposalid=4724
In October of 2011, the Library of Congress released a statement outlining its efforts to move away from the MARC 21 format and toward another carrier for library data. According to the statement, "Linked Data principles and mechanisms" will be the focus of this project. You may be wondering, what is Linked Data? What could it mean for our library catalogs? How do we create Linked Data? In this session, Emily Nimsakont, the NLCs Cataloging Librarian, will answer those questions and more.
NCompass Live - Jan. 11, 2012.
The document discusses a webinar presented by NISO and DCMI on Schema.org and Linked Data. The webinar provides an overview of Schema.org and Linked Data, examines the advantages and challenges of using RDF and Linked Data, looks at Schema.org in more detail, and discusses how Schema.org and Linked Data can be combined. The goals of the webinar are to illustrate the different design choices for identifying entities and describing structured data, integrating vocabularies, and incentives for publishing accurate data, as well as to help guide adoption of Schema.org and Linked Data approaches.
Linked data demystified:Practical efforts to transform CONTENTDM metadata int...Cory Lampert
油
This document outlines a presentation about transforming metadata from a CONTENTdm digital collection into linked data. It discusses the concepts of linked data, including defining linked data, linked data principles, technologies and standards. It then explains how these concepts can be applied to digital collection records, including anticipated challenges working with CONTENTdm. The document describes a linked data project at UNLV Libraries to transform collection records into linked data and publish it on the linked data cloud. It provides tips for creating metadata that is more suitable for linked data.
This is part 2 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
This is part 2 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
This document discusses the importance of metadata from a search engine perspective. It outlines how search engines have evolved to make use of metadata over time, from directly extracting metadata to enhance search results, to being able to search metadata directly and provide direct answers to queries. The document also notes that metadata adoption on the web has increased over time, with around 31% of webpages and 5% of domains now containing some metadata, primarily in the form of RDFa. Metadata allows search engines to better understand and organize content to provide more relevant search results.
This document provides an introduction to MongoDB and Python. It discusses how to install and run MongoDB, set up a Python environment connected to MongoDB, perform basic read and write operations on MongoDB collections from Python. It also covers common patterns for modeling data in MongoDB like embedding documents and indexing, and integrating MongoDB with popular Python web frameworks.
This document is a student's assignment submission for a semantic web course. It includes the student's name and details, followed by their responses to several questions about widely used ontologies on the Web of Data, formats for embedding structured data into HTML, the implication of using owl:sameAs, approaches for connecting semantic web resources, whether a resource can have multiple representations, and developing an RDFa web page with external ontologies.
A Jeff Young presentation for co-asis&t on the emerging topic of Linked Data and how libraries of all kinds can extend their interaction with the Web.
For more information visit our website:http://www.asis.org/Chapters/coasis
Talk about Exploring the Semantic Web, and particularly Linked Data, and the Rhizomer approach. Presented August 14th 2012 at the SRI AIC Seminar Series, Menlo Park, CA
The document discusses the evolution of the web from a "Web of Documents" to a "Semantic Web." It argues that while the vision of a Semantic Web proposed in 2001 has yet to be fully realized, the pieces are falling into place. Examples of linked open data projects show how structured data from sources like Wikipedia, the BBC, and government data is being interconnected using semantic web technologies. The use of semantics on the web brings value by sometimes solving narrow problems and linking data beyond specific applications.
This document discusses semantic web technologies including linked data and how they can help solve information needs on the current web. It provides an overview of semantic web standards like RDF and SPARQL and examples of datasets like DBPedia that publish structured data on the web in RDF format and link to each other. It also demonstrates tools for extracting structured data from websites and a mobile app built using open linked data.
San Diego Meetup - Sem Web Overview - 2009.04.27Eric Franzon
油
This document introduces semantic technologies and the semantic web. It explains that the semantic web (Web 3.0) aims to link data on the web through the use of unique identifiers and relationships between things represented as triples. It provides examples of triples and how they can be used to represent relationships between entities. It also gives an overview of RDF, schemas for linked data, and the SPARQL query language for querying linked data.
Intro to Linked Open Data in Libraries Archives & Museums.Jon Voss
油
This document discusses a presentation on Linked Open Data in libraries, archives, and museums. The presentation introduces Linked Open Data and how it is being used in cultural heritage institutions. It discusses representing data as graphs using triples and RDF, important vocabularies and ontologies, and following Tim Berners-Lee's principles of Linked Data. The presentation also covers legal and licensing considerations for publishing open cultural data on the web.
This document introduces linked data and discusses how publishing data as linked RDF triples on the web allows for a global linked database. It explains that linked data uses HTTP URIs to identify things and links data from different sources to be queried using SPARQL. Publishing linked data provides benefits like being able to integrate and discover related data on the web. Tools are available to convert existing data or publish new data as linked open data.
The document provides an overview of semantic technologies and discusses their increasing mainstream adoption. It notes that Microsoft purchased Powerset in 2008, Apple purchased Siri in 2010, and Google bought Metaweb and released semantic search in 2013. It discusses how semantic technologies allow for interoperability through shared representations and reasoning. Examples are given of early semantic search applications from 1999-2002 and an operational semantic electronic medical record application deployed in 2006.
Keynote by Dan brickley at the International Conference on Dublin Core and Metadata Applications (DC-2012) during the Knowledge Technology Week (KTW2012). September 3 - 7, 2012. Kuching, Sarawak, Malaysia
Packaging your App for AppExchange Managed Vs Unmanaged.pptxmohayyudin7826
油
Learn how to package your app for Salesforce AppExchange with a deep dive into managed vs. unmanaged packages. Understand the best strategies for ISV success and choosing the right approach for your app development goals.
En esta charla compartiremos la experiencia del equipo de Bitnami en la mejora de la seguridad de nuestros Helm Charts y Contenedores utilizando Kubescape como herramienta principal de validaci坦n. Exploraremos el proceso completo, desde la identificaci坦n de necesidades hasta la implementaci坦n de validaciones automatizadas, incluyendo la creaci坦n de herramientas para la comunidad.
Compartiremos nuestra experiencia en la implementaci坦n de mejoras de seguridad en Charts y Contenedores, bas叩ndonos en las mejores pr叩cticas del mercado y utilizando Kubescape como herramienta de validaci坦n. Explicaremos c坦mo automatizamos estas validaciones integr叩ndolas en nuestro ciclo de vida de desarrollo, mejorando significativamente la seguridad de nuestros productos mientras manten鱈amos la eficiencia operativa.
Durante la charla, los asistentes aprender叩n c坦mo implementar m叩s de 60 validaciones de seguridad cr鱈ticas, incluyendo la configuraci坦n segura de contenedores en modo no privilegiado, la aplicaci坦n de buenas pr叩cticas en recursos de Kubernetes, y c坦mo garantizar la compatibilidad con plataformas como OpenShift. Adem叩s, demostraremos una herramienta de self-assessment que desarrollamos para que cualquier usuario pueda evaluar y mejorar la seguridad de sus propios Charts bas叩ndose en esta experiencia.
GDG Cloud Southlake #41: Shay Levi: Beyond the Hype:How Enterprises Are Using AIJames Anderson
油
Beyond the Hype: How Enterprises Are Actually Using AI
Webinar Abstract:
AI promises to revolutionize enterprises - but whats actually working in the real world? In this session, we cut through the noise and share practical, real-world AI implementations that deliver results. Learn how leading enterprises are solving their most complex AI challenges in hours, not months, while keeping full control over security, compliance, and integrations. Well break down key lessons, highlight recent use cases, and show how Unframes Turnkey Enterprise AI Platform is making AI adoption fast, scalable, and risk-free.
Join the session to get actionable insights on enterprise AI - without the fluff.
Bio:
Shay Levi is the Co-Founder and CEO of Unframe, a company redefining enterprise AI with scalable, secure solutions. Previously, he co-founded Noname Security and led the company to its $500M acquisition by Akamai in just four years. A proven innovator in cybersecurity and technology, he specializes in building transformative solutions.
Building High-Impact Teams Beyond the Product Triad.pdfRafael Burity
油
The product triad is broken.
Not because of flawed frameworks, but because it rarely works as it should in practice.
When it becomes a battle of roles, it collapses.
It only works with clarity, maturity, and shared responsibility.
SAP Automation with UiPath: Solution Accelerators and Best Practices - Part 6...DianaGray10
油
Join us for a comprehensive webinar on SAP Solution Accelerators and best practices for implementing them using UiPath. This session is designed to help SAP professionals and automation enthusiasts understand how to effectively leverage UiPaths SAP Solution Accelerators to automate standard SAP process quickly. Learn about the benefits, best ways to do it, and real-world success stories to speed up.
AI in Talent Acquisition: Boosting HiringBeyond Chiefs
油
AI is transforming talent acquisition by streamlining recruitment processes, enhancing decision-making, and delivering personalized candidate experiences. By automating repetitive tasks such as resume screening and interview scheduling, AI significantly reduces hiring costs and improves efficiency, allowing HR teams to focus on strategic initiatives. Additionally, AI-driven analytics help recruiters identify top talent more accurately, leading to better hiring decisions. However, despite these advantages, organizations must address challenges such as AI bias, integration complexities, and resistance to adoption to fully realize its potential. Embracing AI in recruitment can provide a competitive edge, but success depends on aligning technology with business goals and ensuring ethical, unbiased implementation.
Scot-Secure is Scotlands largest annual cyber security conference. The event brings together senior InfoSec personnel, IT leaders, academics, security researchers and law enforcement, providing a unique forum for knowledge exchange, discussion and high-level networking.
The programme is focussed on improving awareness and best practice through shared learning: highlighting emerging threats, new research and changing adversarial tactics, and examining practical ways to improve resilience, detection and response.
AuthZEN The OpenID Connect of Authorization - Gartner IAM EMEA 2025David Brossard
油
Today, the authorization world is fractured - each vendor supports its own APIs & protocols. But this is about to change: OpenID AuthZEN was created in late 2023 to establish much-needed modern authorization standards. As of late 2024, AuthZEN has a stable Implementers Draft, and is expected to reach Final Specification in 2025.
With AuthZEN, IAM teams can confidently externalize and standardize authorization across their application estate without being locked in to a proprietary API.
This session will describe the state of modern authorization, review the AuthZEN API, and demo our 15 interoperable implementations.
Automating Behavior-Driven Development: Boosting Productivity with Template-D...DOCOMO Innovations, Inc.
油
https://bit.ly/4ciP3mZ
We have successfully established our development process for Drupal custom modules, including automated testing using PHPUnit, all managed through our own GitLab CI/CD pipeline. This setup mirrors the automated testing process used by Drupal.org, which was our goal to emulate.
Building on this success, we have taken the next step by learning Behavior-Driven Development (BDD) using Behat. This approach allows us to automate the execution of acceptance tests for our Cloud Orchestration modules. Our upcoming session will provide a thorough explanation of the practical application of Behat, demonstrating how to effectively use this tool to write and execute comprehensive test scenarios.
In this session, we will cover:
1. Introduction to Behavior-Driven Development (BDD):
- Understanding the principles of BDD and its advantages in the software development lifecycle.
- How BDD aligns with agile methodologies and enhances collaboration between developers, testers, and stakeholders.
2. Overview of Behat:
- Introduction to Behat as a testing framework for BDD.
- Key features of Behat and its integration with other tools and platforms.
3. Automating Acceptance Tests:
- Running Behat tests in our GitLab CI/CD pipeline.
- Techniques for ensuring that automated tests are reliable and maintainable.
- Strategies for continuous improvement and scaling the test suite.
4. Template-Based Test Scenario Reusability:
- How to create reusable test scenario templates in Behat.
- Methods for parameterizing test scenarios to enhance reusability and reduce redundancy.
- Practical examples of how to implement and manage these templates within your testing framework.
By the end of the session, attendees will have a comprehensive understanding of how to leverage Behat for BDD in their own projects, particularly within the context of Drupal and cloud orchestration. They will gain practical knowledge on writing and running automated acceptance tests, ultimately enhancing the quality and efficiency of their development processes.
Benefits of Moving Ellucian Banner to Oracle CloudAstuteBusiness
油
Discover the advantages of migrating Ellucian Banner to Oracle Cloud Infrastructure, including scalability, security, and cost efficiency for educational institutions.
Research Data Management (RDM): the management of dat in the research processHeilaPienaar
油
Presented as part of the M.IT degree at the Department of Information Science, University of Pretoria, South Africa. Module: Data management. 2023, 2024.
The Future of Materials: Transitioning from Silicon to Alternative Metalsanupriti
油
This presentation delves into the emerging technologies poised to revolutionize the world of computing. From carbon nanotubes and graphene to quantum computing and DNA-based systems, discover the next-generation materials and innovations that could replace or complement traditional silicon chips. Explore the future of computing and the breakthroughs that are shaping a more efficient, faster, and sustainable technological landscape.
Sugarlab AI: How Much Does an XXX AI Porn Generator Cost in 2025Sugarlab AI
油
The cost of an XXX AI porn generator in 2025 varies depending on factors like AI sophistication, subscription plans, and additional expenses. Whether you're looking for a free AI porn video generator or a premium adult AI image generator, pricing ranges from basic tools to enterprise-level solutions. This article breaks down the costs, features, and what to expect from AI-driven adult content platforms.
1. Dealing with the new data in the
Cloud Linked Data
London - New York - Dubai - Mumbai 2011
2. Table of Contents
Definitions 3
History 5
The Modigliani Test 11
Link Data 13
Raw Data 23
Resource Description Framework 30
Linked Data Principles 42
Publishing Linked Data 57
Faceted Browsers 65
On-the-fly Mashups 67
SPARQL 73
What is a Linked Data Application 77
Characteristics of a Linked Data Application 78
Contact Us 81
3. Definitions
RDF: The RDF data model is similar to classic conceptual
modelling approaches such as Entity-Relationship or Class
diagrams, as it is based upon the idea of making statements about
resources (in particular Web resources) in the form of subject-
predicate-object expressions. These expressions are known as
triples in RDF terminology. The subject denotes the resource, and
the predicate denotes traits or aspects of the resource and
expresses a relationship between the subject and the object. For
example, one way to represent the notion "The sky has the colour
blue" in RDF is as the triple: a subject denoting "the sky", a
predicate denoting "has the colour", and an object denoting "blue".
RDF is an abstract model with several serialization formats (i.e.,
file formats), and so the particular way in which a resource or
triple is encoded varies from format to format.
4. Definitions
SPARQL: (SPARQL Protocol and RDF Query Language,
pronounced "sparkle") is an RDF query language
Linked Data: Linked Data describes a method of publishing
structured data, so that it can be interlinked and become more
useful. It builds upon standard Web technologies, such as HTTP
and URIs - but rather than using them to serve web pages for
human readers, it extends them to share information in a way that
can be read automatically by computers. This enables data from
different sources to be connected and queried.
5. History
Linked Data Design Issues by Tim Berners-Lee July 2006
Linked Open Data Project WWW2007
First LOD Cloud May 2007
BBC publishes Linked Data 2008
NY Times announcement SemTech2009 - ISWC09
Data.gov.uk publishes Linked Data 2010
11. The Modigliani Test
Show me all the locations of all the original paintings
of Modigliani
Daniel Koller (@dakoller) showed that you can find
this with a SPARQL query on DBpedia
19. Using the Current Web =internet + links + docs
is terribly inefficient
20. So what is the problem?
We arent always interested in documents
We are interested in THINGS
These THINGS might be in documents
We can read a HTML document rendered in a browser and find
what we are searching for
This is hard for computers. Its typically based on
guesswork from some primitive NLP engine, or simple
keyword search
21. What do we need to do?
Make it easy for computers/software to find THINGS
22. How can we do that?
Besides publishing documents on the web
- which computers cant understand easily
Lets publish something that computers can
understand
30. Resource Description Framework (RDF)
A data model
A way to model data
i.e. Relational databases use relational data model
RDF is a triple data model
Labeled Graph
Subject, Predicate, Object
<Wael> <was born in> <Beirut>
<Beirut> <is part of> <the Lebanon>
<Wael> <likes> <the Semantic Web>
31. RDF can be serialized in different ways
RDF/XML
RDFa (RDF in HTML)
N3
Turtle
JSON
32. So does that mean that I have to
publish my data in RDF now?
35. Databases back up documents
THINGS have PROPERTIES:
A Book as a Title, an author,
Isbn Title Author PublisherID ReleasedData
978-0-596- Programming Toby Segaran 1 July 2009
15381-6 the Semantic
Web
PublisherID PublisherNa
This is a THING: me
A book title Programming the
Semantic Web by Toby Segaran, 1 OReilly
Media
36. Lets represent the data in RDF
Isbn Title Author PublisherID ReleasedData
978-0- Programming Toby 1 July 2009
596- the Semantic Segaran
15381- Web
6
Programming the
PublisherID PublisherName title Semantic Web
1 OReilly Media
author
book Toby Segaran
isbn 978-0-596-15381-6
publisher
Publisher OReilly
name
37. Remember that we are on the web
Everything on the web is identified by a URL
38. And now lets link the data to other data
Programming the
Semantic Web
title
http:///isbn Toby
author Segaran
978
978-0-596-15381-6
isbn
publisher
http:///pu OReilly
blisher1 name
39. And now consider the data from Revyu.com
hasReview
http:// http:///
/revie isbn978
w1
description
reviewer
Awesom
e Book
name
http:// Wael
/reviewer Elrifai
40. Lets start to link data
http:// hasReview http:///
/revie isbn978
w1 Programming
description title the Semantic
hasReviewer sameAs Web
Awesom http:// author Toby
e Book /isbn9
Segaran
78
http://
/revie name
wer isbn
978-0-596-15381-6
Wael publisher
Elrifai http:/// name
publisher1 OReilly
41. Data on the Web that is in RDF and
is linked to other RDF data is
LINKED DATA
42. Linked Data Principles
1. Use URIs as names for things
2. Use HTTP URIs so that people can look up
(dereference) those names.
3. When someone looks up a URI, provide
useful information.
4. Include links to other URIs so that they can
discover more things.
43. Linked Data makes the web appear
a single global database!
The same can be done inside your company!
44. What if you wanted to know your companys
EBITDA for Catalonia in 2010?
You could have a EDW pre-aggregate and
distribute the data, an analyst calculate it on
the spot, or
45. Linked data in your internal semantic
web could relate all transactions to a
linked financial formulae!
You ask the question, tell your system
where to look (as part of the question,
this can be prebuilt) and voil!
46. I can query a database with SQL. Is
there a way to query Linked Data with a
query language?
47. Yes! There is actually a standardize
language for that
48. FIND all the reviews on the book
Programming the Semantic Web
by people who live in London
49. hasReview http:///
http:/// Programming
isbn978 the Semantic
review1
Web
description title
hasReviewer sameAs
Toby
Awesom http:// Segaran
author
e Book /isbn9
78
http:// 978-0-596-15381-6
/reviewer name
isbn
sameAs Wael publisher http://
Elrifai name OReilly
/publishe
r1
http://waelw
orldwide.com livesIn http://dbpedia.org/London
name Wael Elrifai
50. This looks cool, but lets be realistic.
What is the incentive to publish
Linked Data?
51. What was your incentive to publish
an HTML (Intranet) page in 1990?
52. 1) Share data in documents
2) Because you neighbor was doing it
58. Publishing Linked Data
Legacy Data in Relational Databases
D2R Server
Virtuoso
Triplify
Ultrawrap
CMS
Drupal 7
Native RDF Stores
Databases for RDF (Triple Stores)
AllegroGraph, Jena, Sesame, Virtuoso
Talis Platform (Linked Data in the Cloud)
In HTML with RDFa
62. Google and Yahoo are starting to crawl
RDFa!
The Semantic Web is a reality!
63. The Reality
Yahoo is crawling data that is in RDFa and
Microformats under a specific vocabularies
FOAF
GoodRelations
Google is crawling RDFa and Microformaats that
use the Google vocabulary
71. Time to create new and innovative
ways to interact with Linked Data
72. This may be one of the Killer Apps that we have all been
waiting for
http://en.wikipedia.org/wiki/File:Mosaic_browser_plaque_ncsa.jpg
73. Where can I find SPARQL Endpoints?
Dbpedia:
http://dbpedia.org/sparql
Musicbrainz: http://dbtune.org/musicbrainz/sparql
U.S. Census:
http://www.rdfabout.com/sparql
Semantic Crunchbase: http://cb.semsol.org/sparql
http://esw.w3.org/topic/SparqlEndpoints
74. Querying a single dataset is quite boring
compared to:
Issuing SPARQL queries over multiple datasets
How can you do this?
1. Issue follow-up queries to different endpoints
2. Querying a central collection of datasets
3. Build store with copies of relevant datasets
4. Use query federation system
75. Follow-up Queries
Idea: issue follow-up queries over other
datasets based on results from previous
queries
Substituting placeholders in query templates
76. Getting Started
Finding URIs
Finding Additional Data
Finding SPARQL Endpoints
77. What is a Linked Data application
Software system that makes use of data on the
web from multiple datasets AND that benefits
from links between the datasets
78. Characteristics of Linked Data Applications
Consume data that is published on the web following
the Linked Data principles
Discover further information by following the links
between different data sources
Combine the consumed linked data with data from
sources (not necessarily Linked Data)
Expose the combined data back to the web
following the Linked Data principles
Offer value to end-users
80. Hot Research Topics
Interlinking Algorithms
Provenance and Trust
Dataset Dynamics
UI
Distributed Query
81. Contact
PEAK Consulting United States United Arab Emirates
Headquarters
11 Penn Plaza, 5th floor Unit P12 Rimal, The
90 Long Acre, Covent Garden New York, NY 1000 Walk
London WC2E 9RZ United States PO Box 487 177 Dubai
United Kingdom United Arab Emirates
Tel: +1 (212) 946 4824
Tel: +44 (0)207 849 3422 Fax: +1 (212) 946 2801 Tel: +44 (0)207 849
Fax: +44 (0)207 990 9478 3422
Fax: +44 (0)207 990
9478
http://www.peakconsulting.eu
info@peakconsulting.eu