JNTUK B.Tech Social Networks and the Semantic Web (Elective – IV) gives you detail information of Social Networks and the Semantic Web (Elective – IV) R13 syllabus It will be help full to understand you complete curriculum of the year.
Course Objectives
This course addresses the issues needed to realize the vision of the Semantic Web through the use of Intelligent Agents. The objectives are :
- to understand semantic web
- to understand the role of ontology and inference engines in semantic web
Course Outcomes
Students will
- demonstrate knowledge and be able to explain the three different “named” generations of the web.
- demonstrate the ability to articipate materially in projects that develop programs relating to Web applications and the analysis of Web data.
- be able to understand and analyze key Web applications including search engines and social networking sites.
- be able to understand and explain the key aspects of Web architecture and why these are important to the continued functioning of the World Wide Web.
- be able to analyze and explain how technical changes affect the social aspects of Web-based computing.
- be able to develop “linked data” applications using Semantic Web technologies.
Syllabus
UNIT-I: The Semantic web: Limitations of the current Web, The semantic solution, Development of the Semantic Web, The emergence of the social web.
UNIT-II: Social Network Analysis: What is network analysis?, Development of Social Network Analysis, Key concepts and measures in network analysis. Electronic sources for network analysis: Electronic discussion networks, Blogs and online communities, Web-based networks.
UNIT-III: Knowledge Representation on the Semantic Web: Ontologies and their role in the Semantic Web, Ontology languages for the semantic Web.
UNIT-IV: Modeling and Aggregating Social Network Data: State of the art in network data representation, Ontologicl representation of Social individuals, Ontological representation of social relationships, Aggregating and reasoning with social network data.
UNIT-V: Developing social semantic applications: Building Semantic Web applications with social network features, Flink- the social networks of the Semantic Web community, Open academia: distributed, semantic-based publication management.
UNIT-VI: Evaluation of Web-Based Social Network Extraction: Differences between survey methods and electronic data extraction, context of the empirical study, Data collection, Preparing the data, Optimizing goodness of fit, Comparison across methods and networks, Predicting the goodness of fit, Evaluation through analysis.
Text Book
- Social Networks and the Semantic Web ,Peter Mika,Springer,2007.
- Semantic Web Technologies ,Trends and Research in OntologyBased Systems, J.Davies,Rudi Studer,Paul Warren,JohnWiley&Sons.
Reference Books
- Semantic Web and Semantic Web Services –Liyang Lu Chapman and Hall/CRC Publishers,(Taylor & Francis Group)
- Information Sharing on the semantic Web – Heiner Stuckenschmidt; Frank Van Harmelen, Springer Publications
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