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Applications of the Semantic Web Ivan Herman, W3C May 3 rd, 2007, Bethesda, USA Ivan Herman.

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Presentation on theme: "Applications of the Semantic Web Ivan Herman, W3C May 3 rd, 2007, Bethesda, USA Ivan Herman."— Presentation transcript:

1 Applications of the Semantic Web Ivan Herman, W3C May 3 rd, 2007, Bethesda, USA Ivan Herman

2 Ivan Herman, Applications of the Semantic Web ( 2 ) ‏ ( 2 )‏ > Semantic Web ≠ academic research only! SW has indeed a strong foundation in research results But the situation has evolved today

3 Ivan Herman, Applications of the Semantic Web ( 3 ) ‏ ( 3 )‏ > Remember the Web evolution? SW has indeed a strong foundation in research results But remember: (1) the Web was born at CERN… (2) …was first picked up by high energy physicists… (3) …then by academia at large… (4) …then by small businesses and start-ups… (5) “big business” came only later!  network effect kicked in early… Semantic Web is now at #4, and moving to #5!

4 Ivan Herman, Applications of the Semantic Web ( 4 ) ‏ ( 4 )‏ > May start with small communities The needs of a deployment application area:  have serious problem or opportunity  have the intellectual interest to pick up new things  have motivation to fix the problem  its data connects to other application areas  have an influence as a showcase for others The high energy physics community played this role for the Web in the 90’s

5 Ivan Herman, Applications of the Semantic Web ( 5 ) ‏ ( 5 )‏ > Some deployment communities The technology is picked up by specialized communities  just like the high energy physics community did for the original Web… Some examples: digital libraries, defense, eGovernment, energy sector, financial services, health care, oil and gas industry, life sciences … Health care and life science sector is now very active  also at W3C, in the form of an Interest Group

6 Ivan Herman, Applications of the Semantic Web ( 6 ) ‏ ( 6 )‏ > Emerging technologies hype cycle (2006)

7 Ivan Herman, Applications of the Semantic Web ( 7 ) ‏ ( 7 )‏ > The “corporate” landscape is moving Major companies offer (or will offer) Semantic Web tools or systems using Semantic Web: Adobe, Oracle, IBM, HP, Software AG, webMethods, Northrop Gruman, Altova, … Some of the names of active participants in W3C SW related groups: ILOG, HP, Agfa, SRI International, Fair Isaac Corp., Oracle, Boeing, IBM, Chevron, Siemens, Nokia, Merck, Pfizer, AstraZeneca, Sun, …

8 Ivan Herman, Applications of the Semantic Web ( 8 ) ‏ ( 8 )‏ > Applications are not always very complex… Eg: simple semantic annotations of patients’ data greatly enhances communications among doctors What is needed: some simple ontologies, an RDFa/microformat type editing environment Simple but powerful!

9 Ivan Herman, Applications of the Semantic Web ( 9 ) ‏ ( 9 )‏ > Data integration Data integration comes to the fore as one of the SW Application areas Very important for large application areas (life sciences, energy sector, eGovernment, financial institutions), as well as everyday applications (eg, reconciliation of calendar data) Life sciences example:  data in different labs…  data aimed at scientists, managers, clinical trial participants…  large scale public ontologies (genes, proteins, antibodies, …)  different formats (databases, spreadsheets, XML data, XHTML pages)  etc

10 Ivan Herman, Applications of the Semantic Web ( 10 ) ‏ ( 10 )‏ > Life Sciences (cont.)

11 Ivan Herman, Applications of the Semantic Web ( 11 ) ‏ ( 11 )‏ > General approach 1.Map the various data onto RDF assign URI-s to your data that may require a community-based approach, eg, how do I uniquely name a gene? “mapping” may mean on-the-fly SPARQL to SQL conversion, “scraping”, etc 2.Merge the resulting RDF graphs (with a possible help of ontologies, rules, etc, to combine the terms) 3.Start making queries on the whole!

12 Ivan Herman, Applications of the Semantic Web ( 12 ) ‏ ( 12 )‏ > Example: antibodies demo Scenario: find the known antibodies for a protein in a specific species Combine (“scrape”…) three different data sources  “Entrez protein sequence” from National Center for Biotechnology Information; conversion to RDF  “Antibody Directory” from Alzheimer Research Forum; scraping RDF from HTML  “Taxonomy information” from Wikispecies; use XSLT to extract RDF from XHTML Use SPARQL as an integration tool

13 Ivan Herman, Applications of the Semantic Web ( 13 ) ‏ ( 13 )‏ > Example: antibodies demo Courtesy of Lee Feigenbaum, IBM

14 Ivan Herman, Applications of the Semantic Web ( 14 ) ‏ ( 14 )‏ > A number of projects in the area Pfizer, NASA, Eli Lilly, MITRE Corp., Elsevier, EU Projects like Sculpteur and Artiste, UN FAO’s MeteoBroker, DartGrid, … Developments are under way at various places in the area Courtesy of Huajun Chen, Zhejiang University

15 Ivan Herman, Applications of the Semantic Web ( 15 ) ‏ ( 15 )‏ > Ontology controlled annotation Annotation of different data formats all along the full drug discovery process… RDF Triple Store Web API Acroba t Chemical Series Compounds Assay Data Points Scientific Papers Any PDF Pathways Lab data Collaborations Targets BioMarkers Spreadsheets Powerpoints Word… Websites/Pages Views of exp data BrainStorming Meeting Notes Semantic Agents Automatic Email Alerts Project Portals Wikis Courtesy of Giles Day, Pfizer

16 Ivan Herman, Applications of the Semantic Web ( 16 ) ‏ ( 16 )‏ > Find the right experts at NASA Expertise locater for nearly 20,000 NASA civil servants using RDF integration techniques over 6 or 7 geographically distributed databases, data sources, and web services… Courtesy of Clark & Parsia, LLC

17 Ivan Herman, Applications of the Semantic Web ( 17 ) ‏ ( 17 )‏ > Find the right experts at Vodafone Richard Benjamins Courtesy of Richard Benjamins, iSOCO (prototype application)

18 Ivan Herman, Applications of the Semantic Web ( 18 ) ‏ ( 18 )‏ > Semantic portal for cultural heritage Courtesy of Richard Benjamins, iSOCO

19 Ivan Herman, Applications of the Semantic Web ( 19 ) ‏ ( 19 )‏ > Public health surveillence Integrated biosurveillence system (biohazards, bioterrorism, disease control, etc) Courtesy of Parsa Mirhaji, School of Health Information Sciences, University of Texas (SWEO Use Case)(SWEO Use Case)

20 Ivan Herman, Applications of the Semantic Web ( 20 ) ‏ ( 20 )‏ > Radiological procedure orders Courtesy of Jos De Roo and Helen Chen, Agfa Healthcare, (SWEO Prototype Use Case)(SWEO Prototype Use Case)

21 Ivan Herman, Applications of the Semantic Web ( 21 ) ‏ ( 21 )‏ > Web sites, portals, local web site search Vodafone’s Live Mobile Portal  search application (e.g. ringtone, game) using RDF page views per download decreased 50% ringtone up 20% in 2 months Other portal examples: Sun’s White Paper and System Handbook collections; Nokia’s S60 support portal; Harper’s Online magazine; Oracle’s virtual pressroom; Opera’s community site; Yahoo’s Food portal…collectionsS60 supportOnline magazinevirtual pressroomcommunity siteFood portal Courtesy of Daniel Applequist, Vodafone

22 Ivan Herman, Applications of the Semantic Web ( 22 ) ‏ ( 22 )‏ > Oracle’s Technology Network Courtesy of Mike DiLascio, Siderean Software, and Justin Kestelyn, Oracle Corporation (SWEO Case Study)SWEO Case Study

23 Ivan Herman, Applications of the Semantic Web ( 23 ) ‏ ( 23 )‏ > Digital music assets an NRK Courtesy of Robert Engels, ESIS Used by program production to find the right music in the archive for a specific show

24 Ivan Herman, Applications of the Semantic Web ( 24 ) ‏ ( 24 )‏ > Food, Nutrition, and Agriculture Journal Improved search on journal content search Courtesy of Johannes Keizer, FAO

25 Ivan Herman, Applications of the Semantic Web ( 25 ) ‏ ( 25 )‏ > Aim@shape eScience portal for computer graphics (storing digital shapes, surface data, virtual humans’ data, tools)

26 Ivan Herman, Applications of the Semantic Web ( 26 ) ‏ ( 26 )‏ > Improved Search via Ontology: GoPubMed Improved search on top of pubmed.org  search results are ranked using the specialized ontologies  extra search terms are generated and terms are highlighted Importance of domain specific ontologies for search improvement

27 Ivan Herman, Applications of the Semantic Web ( 27 ) ‏ ( 27 )‏ > Content labeling for better search (Segala) Courtesy of David Rooks, Segala, (SWEO Case Study)(SWEO Case Study) Use content labeling to qualify search results

28 Ivan Herman, Applications of the Semantic Web ( 28 ) ‏ ( 28 )‏ > Natural interface to business applications Courtesy of C. Anantaram, Tata Consultancy Services Limited,(SWEO Case Study)(SWEO Case Study) Users interact with a business application (eg, via email) in natural language; OWL helps in the retrieval of relevant concepts

29 Ivan Herman, Applications of the Semantic Web ( 29 ) ‏ ( 29 )‏ > Other application areas come to the fore Knowledge management Business intelligence Linking virtual communities Management of multimedia data (e.g., video and image depositories) Content adaptation and labeling (e.g., for mobile usage) etc

30 Ivan Herman, Applications of the Semantic Web ( 30 ) ‏ ( 30 )‏ > Thank you for your attention! These slides are publicly available on: http://www.w3.org/2007/Talks/0503-LM-IH/


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