Building Trustworthy Semantic Webs Lecture 10 Semantic Web Applications Dr Bhavani Thuraisingham September 2006 01 14 19 06 42 10 2 Objective of the Unit 0 This unit will provide an overview of various applications of the semantic web Applications of trustworthy semantic web are yet to be examined 01 14 19 06 42 10 3 Outline of the Unit 0 Summary of semantic web technologies discussed so far 0 Discussion of applications Chapter 6 Horizontal Information Products at Elsevier Data integration at Audi Skill finding at Swiss Life Think Tank Portal at EnterSearch E Learning Web Services Multimedia Collection at Scotland Yard Online Procurement at Daimler Chrysler Device Interoperability at Nokia 0 Common threads and challenges 01 14 19 06 42 10 4 Semantic web technologies discussed so far 0 XML XML Schema 0 RDF RDF Schema 0 Ontology OWL 0 Logic Rules Inference 0 Some discussion of security issues for each technology Policy specification Securing documents 01 14 19 06 42 10 5 Types of Application 0 Horizontal Information Products at Elsevier Integration 0 Data integration at Audi Integration 0 Skill finding at Swiss Life Search 0 Think Tank Portal at EnterSearch Knowledge man agent 0 E Learning Knowledge management 0 Web Services Web services for any of the other applications discussed 0 Multimedia Collection at Scotland Yard Searching 0 Online Procurement at Daimler Chrysler E Business 0 Device Interoperability at Nokia Interoperability 01 14 19 06 42 10 6 Horizontal Information Products at Elsevier 0 Elsevier is publishing company based in Amsterdam E g publisher of Computer Standards and Interface Journal that has papers on all kinds of computer related standards 0 Currently the journals and books are grouped by topics such as say operating systems databases etc or at a higher level Biology Chemistry etc 0 Where do we then put the journal Computer Standards and Interfaces 0 Need horizontal groupings also 01 14 19 06 42 10 7 Horizontal Information Products at Elsevier 0 Semantic web technologies are being used by Elsevier RDF for document representation RDF for ontologies Query language based on RDF to query the documents and the ontologies E g Life Science Thesaurus EMTREE Other publishing companies are following in Elsevier s direction 01 14 19 06 42 10 8 Data Integration at Audi 0 Integrate the data in multiple data sources to provide better customer relationship management and other services to improve profits 0 The databases are disparate and heterogeneous 0 Many current operations are carried out manually 0 Expensive and missed opportunities 01 14 19 06 42 10 9 Data Integration at Audi 0 Ontolotues are being specified to address semantic heterogeneous 0 E g SLR is a type of camera one applications calls it SLR another application calls it Olympus OM 10 0 When the latter application encounters the term SLR it will query the ontology and determine that SLR is a camera 0 Details are given in Chapter 6 01 14 19 06 42 10 10 Skill Finding at Swiss Life 0 Swiss Life is an insurance company that developed a system to find all the skills in the company E g John s skills are on data management ontology management 0 Challenging problem as people have multiple skills for different applications 0 Need the following capabilities Cross listing of skills Querying skills 01 14 19 06 42 10 11 Skill Finding at Swiss Life 0 Ontologies are being developed to specify the skills and query languages to query the ontologies 0 E g owl Class rdf ID Publishing rdfs subClassOf rdf resource Skills owl Class owl Class rdf ID Skills owl Class 01 14 19 06 42 10 12 Think Tank Portal at EnterSearch 0 EnterSearch is a consortium of corporations in Europe that provide IT for the energy companies 0 Similar to MCC in Austin TX 0 EnterSerach Portal currently describes the various research projects papers etc 0 XML representation is used for describing the web content 0 Need to represent semantics so that the corporations can get answers to useful questions of the form where do I put my computing resources to solve a problem 01 14 19 06 42 10 13 Think Tank Portal at EnterSearch 0 Semantic web technologies are being utilized in particular ontoogies are developed for the following Hardware Software Communications E Commerce Agents Market Auction Resource Allocation 01 14 19 06 42 10 14 E Learning 0 With the Internet and the web we now have on line universities course offerings tutoring etc 0 Students should have the choice for selecting various courses in the order they want provide they take the prerequisites 0 Semantic web technologies enable flexible access as well as integration of various data sources and processes to enable learning 0 Ontologies are being developed for learning applications E g Contents of the courses Description of the courses etc 01 14 19 06 42 10 15 Web Services 0 Web services can be utilized by any of the other applications discussed in this unit e g Elsevier Audi etc 0 We services are invoked to carry out functions on the web including find locations search for documents etc 0 Simple services and compound services 0 Three components to the service Service profile Description of the service what it does Serviced model how it does it Service groundings protocol for invoking the service 01 14 19 06 42 10 16 Web Services 0 DAML and DAML S developed by the DARPA community combined with the European community developing OIL focused on languages for web services Semantic of the web services e g reasoning about the services why certain actions are taken etc DAML OIL 0 W3C community started with DAML OIL for ontology specifications and developed OWL 0 E g profile ServiceProvider rdf ID Sportsnews profile ServiceProvider 01 14 19 06 42 10 17 Multimedia Collection Indexing at Scotland Yard 0 Scotland Yard uses a database to keep track of the antiques that are stolen 0 While sophisticated indexing techniques have been developed there is a problem with semantics 0 E g Red cushioned chair could also be described as Queen Anne chair 0 Ontologies for describing semantics 0 Need more details of the project 01 14 19 06 42 10 18 On line Procurement at Daimler Chrysler 0 Daimler Chrysler interacts with numerous suppliers to develop a product 0 Standards developed by Rosetta Net for E Business are being used for interoperability XML syntax no semantics of the product descriptions are available 0 Ontologies for describing the various product descriptions including the semantics are the long term goal for seamless