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WebGUI And The Semantic Web
William McKee's presentation at the WebGUI Users Conference 2009 explores the concept of the Semantic Web, focusing on Tim Berners-Lee's vision and the technologies needed for its implementation. The Semantic Web aims to enhance data sharing and collaboration through structured formats, ontologies, and query languages like RDF and SPARQL. The current state demonstrates progress with various technologies and standards but highlights ongoing challenges in achieving a fully integrated Semantic Web.
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WebGUI And The Semantic Web
- 1.WebGUI &the Semantic WebWilliam McKeewilliam@knowmad.comWebGUI Users Conference 2009
- 2.Goals of thisPresentation● To learn more about the Semantic Web● To share Tim Berners-Lee's vision of the Web● To reinspire the WebGUI community around the potential of Web technology● To show you how to implement Semantic Web technologies into your WebGUI site
- 3.
- 4.Defining the SemanticWebBackground & History“The Web of Meaning” / Web 3.0Many Possibilities
- 5.Background & History●The Web – envisioned & developedin 1989 while working at CERN● Goal – build a collaborative,information sharing network● Key Features – ● Browse & Create ● Universal Access ● Privacy ● Trust
- 6.“The Web ofMeaning”Rise of the Semantic Web• The vision for a Semantic Web came from TimBerners-Lee's book Weaving the Web, ©1999• Part 1 => human-human collaboration• Part 2 => machine analysis of Web content
- 7.“The Web ofMeaning”Requisites for a Semantic Web• Organizing data, adding meaning & creating query tools• Requires numerous technologies that work together tocreate a coherent output• Know-how to implement a Semantic Web involvesmultiple disciplines (linguistics, information science,computer science, philosophy and more)
- 8.“The Web ofMeaning”W3C Definition“The goal of the Semantic Web initiative is as broad as that of the Web: to create auniversal medium for the exchange of data. It is envisaged to smoothly interconnectpersonal information management, enterprise application integration, and the globalsharing of commercial, scientific and cultural data. Facilities to put machine-understandable data on the Web are quickly becoming a high priority for manyorganizations, individuals and communities.“The Web can reach its full potential only if it becomes a place where data can beshared and processed by automated tools as well as by people. For the Web to scale,tomorrow's programs must be able to share and process data even when theseprograms have been designed totally independently.”
- 9.Many PossibilitiesUse Cases• Improved Search • Distributed Database • Intelligent Agents • Web Services • Trust NetworksSee Resources for additional Case Studies & Use Cases.
- 10.State of theSemantic Web
- 11.State of theSemantic WebTechnologiesW3C AccomplishmentsImplementations
- 12.TechnologiesStructure: XML XML • Provides a structured format for marking content • Makes content human and machine readable
- 13.TechnologiesData Model: RDF RDF • Provides a language for describing Web resources • Essentially a simple data model • Uses tuples – subject, property, value
- 14.TechnologiesOntologies: Knowledge Representation● Define relationships between objects● Provide additional vocabulary along with a formal semantics. “For the web,ontology is about the Core Dublin OWL exact description of web information SKOS and relationships between web information.” – W3Schools.com FOAF RDFS
- 15.TechnologiesOntologies: FOAF Example● “The Friend of a Friend (FOAF) project is creating a Web of machine-readable pages describing people, the links between them and the things they create and do”
- 16.TechnologiesQuery: SPARQL● Standard means of querying any store of RDF● Enables the 'joining' of decentralized collections of RDF data.● Result is returned as XML.
- 17.TechnologiesWhere do westand today?● Many of the above mentioned technologies are W3C recommendations● Reaching critical mass of technologies necessary to implement a web of meaning● There are still many incomplete components and challenges for realizing a Semantic Web ● Rules – inferring new information ● Unifying Logic ● Proof & Trust ● Cryptography
- 18.W3C Accomplishments● Pushing for Web Standards since 1994● Currently has 356 member organizations● Semantic Web specifications ● XML, RDF – stable specifications since 2004 ● OWL – standard since 2004 ● SPARQL – standard since 2008 ● SKOS – became latest recommendation in August● Claims that there are “over 10 million Semantic Web documents on the Web” today
- 19.Implementations● Formats ● RSS ● Microformats ● RDFa● Public Datasets ● dbpedia – Wikipedia as RDF ● RDF Book Mashup – merges Amazon & Google data ● IngentaConnect – over 200 million bibliographic entries
- 20.ImplementationsSemantic Web Serviceswww.WolframAlpha.com www.Sig.maKnowledge-based computing Live views on the Web of Data
- 21.Implementing SemanticTechnologies in WebGUI
- 22.Implementing Semantic WebMarkingup your contentLinking data into your sitePerl libraries
- 23.Marking up yourcontentUsing RDFa
- 24.Linking Data●Power of RDF/SPARQL vs API's (RDF Book Mashupintegrates data from Amazon & Google)● Requires data providers
- 25.Perl Libraries● XML ● hundreds of options ● XML::Simple (part of WRE)● RDF ● RDF::Helper ● RDF::Notation3 ● Class::RDF ● RDF::Simple::Serialiser ● and more...
- 26.Perl Libraries● Ontologies ● Class::OWL ● XML::FOAF ● DublinCore::Record ● HTML::DublinCore● SPARQL ● RDF::Query
- 27.The Future ofthe Semantic Web
- 28.Future Directions:HTML5 &semantic markupLinked data – information withrelationshipsEmergent Properties – lots ofdata allows lots of connections
- 29.Future Directions: Where do you think we're going?
- 30.Thank You! William McKee WebGUI Forums: knowmad IRC: knowmad Email: william@knowmad.com Resources Available atwww.knowmad.com/wuc2009