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Providing Intelligent Content by Using Semantic Web and Web Mining Pinar SENKUL METU Computer Eng. Dept. 22/05/2017 Providing Intelligent Content Pinar SENKUL - METU CENG 1 Intelligent Content What is content? Anything published in the web. Context management systems deal with handling organizing and presenting the content. 22/05/2017 Providing Intelligent Content Pinar SENKUL - METU CENG 2 Intelligent Content How about intelligent content? Adaptable content according to the needs and habits of the user. 22/05/2017 Providing Intelligent Content Pinar SENKUL - METU CENG 3 Semantic Web to create a universal medium for information exchange by putting documents with computer-processable semantics on the World Wide Web. It is a vision of web pages that are understandable by computers, so that they can do searching and calling web services automatically in a standardized way. 22/05/2017 Providing Intelligent Content Pinar SENKUL - METU CENG 4 Semantic Web Related standards ● XML (the basic platform of the semantic web) ● ● RDF (Resource Description Language – gives power to build web in a machine-processable manner) OWL (Ontology Web Language – provides a language for defining structured, Web-based ontologies which delivers richer integration and interoperability of data among descriptive communities) 22/05/2017 Providing Intelligent Content Pinar SENKUL - METU CENG 5 Web Mining web mining is to discover interesting patterns from the web data by using data mining techniques. web documents data ●web structure data ●web log data ●user profiles data. ● 22/05/2017 Providing Intelligent Content Pinar SENKUL - METU CENG 6 Web Mining Web Content Mining (Web content mining is the extraction of useful information from the content of the web documents.) ● Web Usage Mining (Web usage mining is application of data mining techniques to discover user access patterns from web data.) ● Web Structure Mining (Web structure mining can be described as discovering web structure and link topology information from web.) ● 22/05/2017 Providing Intelligent Content Pinar SENKUL - METU CENG 7 Web Usage Mining automatic discovery of user access patterns from one or more Web servers can help to determine 22/05/2017 to determine the life time value of customers, cross marketing strategies across products, and effectiveness of promotional campaigns how to better structure a Web site in order to create a more effective Intelligent Content presenceProviding for the organization. Pinar SENKUL - METU CENG 8 Web Usage Mining Smart-SRA: a new approach for session construction a reactive session reconstruction algorithm. Time and navigation oriented heuristics are used with the site topology. improvement on the quality on the constructed session 22/05/2017 “A New Approach for Reactive Web Usage Data Processing", by M. A. Bayir et. al., ICDE-WIRI, April 2006. Intelligent Content Providing Pinar SENKUL - METU CENG 9 Web Usage Mining Enhancement with Semantic Information consider the semantic information of the visited sites in site construction and finding associations New and semantically correct associations and profiles can be extracted 22/05/2017 Providing Intelligent Content Pinar SENKUL - METU CENG 10 Multi-relational Data Mining 22/05/2017 Finding associative rules over multiple relations (tables) Integrating data from multiple tables into a single table can cause loss of semantics and information New techniques for multiple relations. Inductive Logic Programming (ILP) is a frequently used approach. Used in semantic web mining for ontoloy extraction Providing Intelligent Content Pinar SENKUL - METU CENG 11 Multi-relational Data Mining ILP – based approach: Given: 22/05/2017 a set of examples, E background knowledge, BK produce a set of relations (clauses) using BK that describe E. Strong language bias : precise syntactical description of acceptable clauses Providing Intelligent Content Pinar SENKUL - METU CENG 12 Multi-relational Data Mining A new ILP-based association rule discovery system No negative examples Purely relational Rules generated under less language bias and user-defined declarations “A hybrid technique for multi-relational rule mining”, Seda Daglar-Toprak et.al, Technical Report, 2005 22/05/2017 . Providing Intelligent Content Pinar SENKUL - METU CENG 13 Multi-relational Data Mining 22/05/2017 Can be used for extracting/generating the semantics of the personalized content Providing Intelligent Content Pinar SENKUL - METU CENG 14 Providing Intelligent Content A framework for intelligent content generation that makes use of 22/05/2017 Semantically extended session generation and web mining approach ILP-based multi-relational association rule mining for generating/extending the semantics of the content Applicable to various domains Providing Intelligent Content Pinar SENKUL - METU CENG 15