1. The Semantic Web An Emerging Successor of the Web By Tim Berners-Lee, James Hendler and Ora Lassila Presentedby Veera Chandra Sekhar

2. OverviewOverview Introduction Introduction Expressing Meaning Expressing Meaning Knowledge Representation Knowledge Representation XML XML RDF RDF Ontologies Ontologies Incremental Ontology Creation Incremental Ontology Creation Agents Agents Evolution of Semantic Web Evolution of Semantic Web Advantages Advantages Conclusion Conclusion

3. The development of Semantic Web is well underway with a goal that it would The development of Semantic Web is well underway with a goal that it would be possible for machines to understand the information on the web rather than be possible for machines to understand the information on the web rather than simply display. simply display. The major obstacle to this goal is the fact that most information on the web is The major obstacle to this goal is the fact that most information on the web is designed solely for human consumption. This information should be structured designed solely for human consumption. This information should be structured in a way that machines can understand and process that information. in a way that machines can understand and process that information. The concept of machine-understandable documents does not imply “ Artificial The concept of machine-understandable documents does not imply “ Artificial Intelligence ”. It only indicates a machine’s ability to solve well-defined problems by performing well-defined operations on well-defined data. problems by performing well-defined operations on well-defined data. The key technological threads that are currently employed in the development The key technological threads that are currently employed in the development of Semantic Web are: eXtensible Markup Language (XML), Resource of Semantic Web are: eXtensible Markup Language (XML), Resource Description Framework (RDF), DAML (DARPA Agent Markup Language). Description Framework (RDF), DAML (DARPA Agent Markup Language). Introduction

4. Expressing Meaning Most of the web’s content today is designed for humans to read, and not for Most of the web’s content today is designed for humans to read, and not for computer programs to process meaningfully. computer programs to process meaningfully. Computers can Computers can - parse the web pages. - parse the web pages. - perform routine processing (here a header, there a link, etc.) - perform routine processing (here a header, there a link, etc.) In general, they have no reliable way to understand and process the semantics. In general, they have no reliable way to understand and process the semantics. The Semantic Web will bring structure to the The Semantic Web will bring structure to the meaningful content of the web of web pages, meaningful content of the web of web pages, creating an environment where software agents creating an environment where software agents roaming from page to page carry out sophisticated roaming from page to page carry out sophisticated tasks for users. tasks for users. The Semantic Web is not a separate web. The Semantic Web is not a separate web.

5. Knowledge Representation For Semantic Web to function, the computers should have access to For Semantic Web to function, the computers should have access to Structured Collections of Information Structured Collections of Information Meaning of this Information Meaning of this Information Sets of Inference Rules/Logic. Sets of Inference Rules/Logic. These sets of Inference rules can be used to conduct automated reasoning. These sets of Inference rules can be used to conduct automated reasoning. Technological Threads for developing the Semantic Web: - XML - XML - RDF - RDF - Ontologies - Ontologies

6. XML XML lets everyone to create their own tags. XML lets everyone to create their own tags. These tags can be used by the script programs in sophisticated ways to These tags can be used by the script programs in sophisticated ways to perform various tasks, but the script writer has to know what the page perform various tasks, but the script writer has to know what the page writer uses each tag for. writer uses each tag for. In short, XML allows you to add arbitrary structure to the documents but In short, XML allows you to add arbitrary structure to the documents but says nothing about what the structures mean. says nothing about what the structures mean. It has no built mechanism to convey the meaning of the user’s new tags to It has no built mechanism to convey the meaning of the user’s new tags to other users. other users.

7. A scheme for defining information on the web. It provides the technology for A scheme for defining information on the web. It provides the technology for expressing the meaning of terms and concepts in a form that computers can expressing the meaning of terms and concepts in a form that computers can readily process. readily process. RDF encodes this information on the XML page in sets of triples. The RDF encodes this information on the XML page in sets of triples. The triple is an information on the web about related things. triple is an information on the web about related things. Each triple is a combination of Subject, Verb and Object, similar to an Each triple is a combination of Subject, Verb and Object, similar to an elementary sentence. elementary sentence. Subjects, Verbs and Objects are each identified by a URI, which enable Subjects, Verbs and Objects are each identified by a URI, which enable anyone to define a new concept/new verb just by defining a URI for it anyone to define a new concept/new verb just by defining a URI for it somewhere on the web. somewhere on the web. RDF

8. These triples can be written using XML tags as shown, Edd Dumbill Edd Dumbill Managing Director Managing Director <organization>XML.com</organization></contact> SubjectVerbObjectdoc.xml#edumbill http://w3.org/1999/02/22-rdf-syntax-ns#type http://example.org/contact doc.xml#edumbill http://example.org/name “Edd Dumbill” doc.xml#edumbill http://example.org/role “Managing Director” doc.xml#edumbillhttp://example.organization“XML.com” RDF (contd.) An RDF document can make assertions that particular things (people, web An RDF document can make assertions that particular things (people, web pages or whatever) have properties ( “is a sister of”, “is the author of”) with pages or whatever) have properties ( “is a sister of”, “is the author of”) with values (another person, another person, etc.) values (another person, another person, etc.) RDF uses a different URI for each specific concept. Solves the problem of RDF uses a different URI for each specific concept. Solves the problem of same definition but different concepts. Eg. AddressTags in an XML page. same definition but different concepts. Eg. AddressTags in an XML page.

9. Ontologies Ontologies are collections of statements written in a language such as RDF Ontologies are collections of statements written in a language such as RDF that define relations between concepts and specifies logical rules for that define relations between concepts and specifies logical rules for reasoning about them. reasoning about them. Computers/agents/services will understand the meaning of semantic data on Computers/agents/services will understand the meaning of semantic data on a web page by following links to specified ontologies. a web page by following links to specified ontologies. Ontologies can express a large number of relationships among entities Ontologies can express a large number of relationships among entities (objects) by assigning properties to classes and allowing subclasses to inherit (objects) by assigning properties to classes and allowing subclasses to inherit such properties. such properties. An Ontology may express the rule, An Ontology may express the rule, If City Code State Code If City Code State Code and Address City Code then Address State Code and Address City Code then Address State Code Enhances the functioning of semantic web: Improves accuracy of web Enhances the functioning of semantic web: Improves accuracy of web searches, Easy development of programs that can tackle complicated queries. searches, Easy development of programs that can tackle complicated queries.

10. Incremental Ontology Creation www.petshop.com We sell animals Your Web Page Animals of type feline o1 Feline of type f2 o2 Feline of type f1 Animals of type canine Oa F 1 is popular F 1 is exotic Your own ontology page Pages from a web ontology repository http://www.daml.org/ontologies The meaning of the terms or XML codes used on a web page can be defined The meaning of the terms or XML codes used on a web page can be defined by pointers (markup not displayed by a typical browser) from the page to an by pointers (markup not displayed by a typical browser) from the page to an ontology page. ontology page. Problem: Same concept different definitions. Problem: Same concept different definitions. E.g. One ontology defines : Address contains Zip Code. E.g. One ontology defines : Address contains Zip Code. Other ontology defines : Address contains Postal Code. Other ontology defines : Address contains Postal Code. Resolved: If ontologies provide equivalence relations, i.e one or both Resolved: If ontologies provide equivalence relations, i.e one or both may contain the information that “ Zip Code is Equivalent to Postal Code” may contain the information that “ Zip Code is Equivalent to Postal Code”

11. Agents A piece of software that that runs without direct human control or constant A piece of software that that runs without direct human control or constant supervision to accomplish goals provided by the user. supervision to accomplish goals provided by the user. Software Agents can Software Agents can - collect web content from diverse sources. - collect web content from diverse sources. - process that information and exchange the results with - process that information and exchange the results with other programs(agents). other programs(agents). - also exchange proofs “proofs” written in Semantic - also exchange proofs “proofs” written in Semantic Web’s Unified Language. Eg. Verify Cook’s place. Web’s Unified Language. Eg. Verify Cook’s place. Online Services Cook is in Missouri Proof ? Proof, doubts? No Where is cook? (UL : A language that expresses logical inferences made using rules and information such as those specified by ontologies.) information such as those specified by ontologies.)

12. Agents Digital Signatures are another vital feature, which are encrypted blocks of data Digital Signatures are another vital feature, which are encrypted blocks of data that computers and agents can use to verify that the attached information has that computers and agents can use to verify that the attached information has been provided by a specific trusted source. been provided by a specific trusted source. Existing Automated Web-based Services: Existing Automated Web-based Services: - have no semantics. - have no semantics. - agents/programs cannot locate a service that will perform a specific function. - agents/programs cannot locate a service that will perform a specific function. The Semantic Web is more flexible : The Semantic Web is more flexible : - We can have a common language to describe a service. - We can have a common language to describe a service. - The consumer agents and producer agents can reach a shared understanding by - The consumer agents and producer agents can reach a shared understanding by exchanging ontologies, which provide the vocabulary needed for discussion. exchanging ontologies, which provide the vocabulary needed for discussion. - Web-Services and agents can advertise their functions by depositing such - Web-Services and agents can advertise their functions by depositing such information in directories analogous to the Yellow Pages. information in directories analogous to the Yellow Pages.

13. SOFTWARE AGENTSwill be greatly facilitated by semantic content on the Web. In the depicted scenario, Lucy's agent tracks down a physical therapy clinic for her mother that meets a combination of criteria and has open appointment times that mesh with her and her brother Pete's schedules. Ontologies that define the meaning of semantic data play a key role in enabling the agent to understand what is on the Semantic Web, interact with sites and employ other automated services. SOFTWARE AGENTS will be greatly facilitated by semantic content on the Web. In the depicted scenario, Lucy's agent tracks down a physical therapy clinic for her mother that meets a combination of criteria and has open appointment times that mesh with her and her brother Pete's schedules. Ontologies that define the meaning of semantic data play a key role in enabling the agent to understand what is on the Semantic Web, interact with sites and employ other automated services.

14. Evolution of Semantic Web

15. Advantages Automated Tools Automated Tools Enhanced Web Services Enhanced Web Services Effective Searching Effective Searching Quality issues Quality issues Trust Issues Trust Issues

16. Conclusion The semantic web in naming every concept simply by a URI, lets everyone The semantic web in naming every concept simply by a URI, lets everyone express new concepts that they invent with minimal effort. express new concepts that they invent with minimal effort. Its unifying modeling language will enable these concepts to be progressively Its unifying modeling language will enable these concepts to be progressively linked into a universal web. linked into a universal web. The structure of semantic web will open up the knowledge and workings of The structure of semantic web will open up the knowledge and workings of human kind to meaningful analysis by software agents, providing a new class human kind to meaningful analysis by software agents, providing a new class of tools by which we can live, work and learn together. of tools by which we can live, work and learn together.