Dr. Rambabu Pemula

  UNIT- V Social Network Analysis: What is Networks analysis,   Development of the social networks analysis. Electronic sources for network analysis : Electronic Discussion networks. Blogs and Online Communities, Web Based Networks.  Developing social-semantic applications:  Building Semantic Web Applications with social network features,  Semantic Web Architecture. Click Here 👉 UNIT-5 PPTs  

  UNIT- IV Logic, Rules, Inference & Semantic Web Applications : Logic, Rule and Inference, Semantic Web applications and services, Semantic Search, e- learning, Semantic Bioinformatics, Knowledge Base. Semantic Search Technology : Search Engines, Semantic Search, Semantic Search Technology, Web Search Agents, Semantic Methods. Click Here 👉 UNIT-4 PPTs  

  UNIT- III Ontology Engineering : Ontology Engineering, Constructing Ontology, Ontology Development Tools, Ontology  Methods, Ontology Sharing and Merging, Ontology Libraries and Ontology Mapping. Click Here 👉 UNIT-3 PPTs  

  UNIT- II Resource Description Framework : HTML Language, XML Language, RDF Language, Basic Elements, RDF Schema. Web Ontology Language: Ontology Language, Ontology Language Requirements, Compatibility of OWL and RDF/RDFS, The OWL Language, Basic Elements, OWL Example: Compute Ontology, OWL Capabilities and Limitations. Click Here 👉 UNIT-2 PPTs  

UNIT- I Empowering the Information Age : Thinking and Intelligent Web Applications, The Information Age, The World Wide Web, Limitations of Today’s Web, The Next Generation Web. Turing: What is Machine Intelligence? : Machine Intelligence, Artificial Intelligence, Ontology, Inference engines, Software Agents. Berners-Lee: What is Solvable on the Web? : Berners-Lee www,   Semantic Road Map,   Logic on the semantic Web. Click Here 👉 UNIT-1 PPTs

  SEMANTIC WEB AND SOCIAL NETWORKS   L T P C 3 0 0 3     B. Tech IV Year II Semester- IT Course Code: A58580 Course Outcomes: 1.     Identify the Structure of the Semantic Web Technology in reference with the World Wide Web. 2.     Design the concepts of Resource Description Framework, Ontology and Web Ontology Language (OWL). 3.     Understand Ontology Engineering Tools and Methods. 4.     Apply Logic, Rule and Inference Engines in Semantic Applications. 5.     Understand and Analyze Social Networks and design solution for Web based Social Networks like Blogs and Online Communi...

  Dr. Rambabu Pemula Dr. Rambabu Pemula received his B.Tech. Degree in Computer Science and Engineering and M.Tech. Degree in Software Engineering from J.N.T.U, Hyderabad and awarded Ph.D. in the area of Digital Image Processing in the Department of Computer Science and Engineering from J.N.T. University Kakinada. He is currently working as Associate Professor in the Department of Artificial Intelligence, Vidya Jyothi Institute of Technology, Hyderabad, Telangana. He qualified GATE, UGC NET and AP SET in Computer Science and Applications. He published twenty research articles in UGC referred journals, SCI and Scopus indexed journals. He participated and presented research papers at different International and National conferences.  He has done different certificate courses from NPTEL and Coursera on AI, Machine Learning, Deep Learning and Computer Vision. His research area includes Machine Learning and Computer Vision. He completed MS in Computer Science in Artificial Intell...