Free and projects on Semantic Web Mining
Usage Mining for and on the Semantic Web
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Abstract Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining We use the term Semantic Web Mining to denote these various methods of mining the Semantic Web and mining for the Semantic Web
Using semantic web mining technologies for personalized e-learning experiences
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The challenge of the Semantic Web Mining technologies in the e-Learning domain can relate to the provision of personalized experiences for the users. Particularly, these applications can take into consideration the individual needs and requirements of learners
Agent based framework for semantic web content mining
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Bhatia et. al in provided semantic web mining and suggested an ontology learning mechanism for the extraction of semantics through grammatical rule extraction technique. Meirong et. al in proposed an agent based web mining model for e-buisness. Zhan et
EYcommerce website ranNing using semantic web mining and neural computing
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With the acceleration of Internet era, EYcommerce industry has grown rapidly and a good EYCommerce website has become indispensable for every commerce based organization. However EYCommerce industry in developing countries liNe India is still lagging behind to
Xml topic maps and semantic web mining
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Navigation and information retrieval on the Web are not easy tasks; the challenge is to extract information from the large amount of data available. Most of this data is unstructured, which makes the application of existing data mining techniques to the Web very difficult
Semantic web mining of un-structured data: challenges and opportunities
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The management of unstructured data is acknowledged as one of the most critical unsolved problems in data management and business intelligence fields in current times. The major reason for this unresolved problem is primarily because of the actuality that the methods
Knowledge-based data mining using semantic web
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by the agent. The derivation of such unknown knowledge from the existing can be achieved by semantic web mining . We present and more common. Semantic Web Mining combines Semantic Web and Web Mining. The nature
Semantic web mining and the representation, analysis, and evolution of web space
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Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. This survey analyzes the convergence of trends from both areas: Growing numbers of researchers work on improving the results of Web Mining by exploiting
An introduction to social semantic web mining big data analytics for political attitudes and mentalities research
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The social web has become a major repository of social and behavioural data that is of exceptional interest to the social science and humanities research community. Computer science has only recently developed various technologies and techniques that allow for
A survey of semantic based solutions to web mining
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Volume Issue 2 July-August 2012 Page 52 2. SEMANTIC-BASED APPROACHES TO WEB MINING Semantic Web Mining aims at combining the two areas Semantic Web and Web Mining. The process of building the Semantic Web is currently an area of high activity
Semantic web mining
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When we started the organization of the workshop, it was clear that the Eemantic Web and Web Mining are two fast-developing research areas which have many points of contact. However, there was not yet a precise idea what the integration of the two areas might look
Web personalization through semantic annotation system
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Gerd Stumme, Andreas Hotho, Bettina Berendit, (2006), Semantic Web Mining Elsevier, vol pp 124-143. Jaideep Srivastava, Robert Cooley, (2000), Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data, ACM, Vol pp 1-12Overview Related Concepts Web Visualization Topic Distillation Web Page Categorization Semantic Web Mining Distributed Web Mining Web services Web mining Definitions What they provide Service Oriented Architecture SOAP WSDL UDDI
Ontology discovery for the semantic web using hierarchical clustering
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According to a proposal by Tim Berners-Lee, the World Wide Web should be extended to make a Semantic Web where human understandable content is structured in such a way as to make it machine processable. Central to this conception is the establishment of shared
Semantic Web MiningA Review
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An effective fetching of the most relevant documents from the web is difficult due to the vast amount of information in all types of formats. The vast amount of data is very difficult to understand by machines, but humans can easily understand. The semantic web is a web of
A Survey on Semantic Web Mining Based Web Search Engines
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With the advancement of the World Wide Web (WWW), the information search has been developed to be a major business segment of a global, competitive and money-making market. Search engines are the basic tool of the internet, from which related information can
Research profiling based on semantic web mining
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Research profiling is an analysis method could be used to broadly scan the contextual literature information and depict the research context and research efforts wisely. The authors of this article now carry out a project which needs to extract intelligence from web
A multilingual text-mining approach based on self-orginizing maps for semantic web mining
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Extraction of semantics from web documents has been beeomlrg an eseutial technique for the implementation of Semantic Web . This paper aims to explore a method for automatically grouping semantically related terms and documents in multiple languages and
A novel approach towards integration of semantic web mining with link analysis to improve the effectiveness of the personalized web
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During the past few years World Wide Web has become a main source of information acquisition. The existence of such abundance of information, in combination with the dynamic and heterogeneous nature of the web, makes web site exploration a difficult
Applying Semantic Web Mining Technologies In Personalized E-Learning
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The challenge of the Semantic Web Mining technologies in the e-Learning domain can relate to the provision of personalized experiences for the users. Particularly, these applications can take into consideration the individual needs and requirements of learners CSE PROJECTS