- Transaction between systems - Biology, law etc business 65,900,000 results were returned Creating an environment for Semantic web gives solutions to the Knowledge inference. above problems. 2. Making Knowledge self-explainable 2. Introduction to the Semantic for machines. 3. Establishing Trust Web: We can make it meaningful for machines According to Sir Tim as shown in figure. Semantic Web is an extension “The of the current web in which information 3. Ontologies: is given well-defined meaning, better Ontology is standard for some enabling computers and people to work knowledge domain. Examples are in cooperation.” Healthcare, Bioinformatics, and CRM Web is Human Friendly Whereas and web services. It provides a formal the SEMANTIC WEB is machine and agreed upon controlled vocabulary, friendly. Semantic Web means adding which is used to define concepts and semantic annotation to web resources. information can be tagged according to We can make the Web machine friendly these concepts. by
- Transaction between systems business - Biology, law etc 65,900,000 results were returned Semantic web gives solutions to the above problems. 2. Introduction to the Semantic Web: According to Sir Tim “The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation.” Web is Human Friendly Whereas the SEMANTIC WEB is machine friendly. Semantic Web means adding semantic annotation to web resources. We can make the Web machine friendly by Creating an environment for Knowledge inference. 2. Making Knowledge self-explainable for machines. 3. Establishing Trust We can make it meaningful for machines as shown in figure. 3. Ontologies: Ontology is standard for some knowledge domain. Examples are Healthcare, Bioinformatics, and CRM and web services. It provides a formal and agreed upon controlled vocabulary, which is used to define concepts and information can be tagged according to these concepts.
16Data-mining.docx