Towards design principles for effective context- and perspective-based web mining
Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology
Autonomous malicious activity inspector - AMAI
NLDB'10 Proceedings of the Natural language processing and information systems, and 15th international conference on Applications of natural language to information systems
Visualizing web search results using glyphs: Design and evaluation of a flower metaphor
ACM Transactions on Management Information Systems (TMIS)
Dynamically generating context-relevant sub-webs
DESRIST'10 Proceedings of the 5th international conference on Global Perspectives on Design Science Research
A Context-Based Approach to Reconciling Data Interpretation Conflicts in Web Services Composition
ACM Transactions on Internet Technology (TOIT)
An empirical analysis of user evaluation factors on attitude and intention of using a search engine
International Journal of Business Information Systems
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A major impediment to accurate information retrieval from the World Wide Web is the inability of search engines to incorporate semantics in the search process. This research presents a methodology, CONQUER (CONtext-aware QUERy processing), that enhances the semantic content of Web queries using two complementary knowledge sources: lexicons and ontologies. The methodology constructs a semantic net using the original query as a seed, and refines the net with terms from the two knowledge sources. The enhanced query, represented by the refined semantic net, can be executed by search engines. This paper describes the methodology and its implementation in a prototype. An empirical evaluation shows that queries suggested by the prototype produce more relevant results than those obtained by the original queries. The research, thus, provides a successful demonstration of the use of existing knowledge sources to enhance the semantic content of Web queries. The paper concludes by identifying potential uses of such enhancements of search technology in organizational contexts.