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Enormous explosion in the number of the World Wide Web pages occur every dayand since the efficiency of most of the information processing systems is foundto be less, the potential of the Internet applications is often underutilized.Efficient utilization of the web can be exploited when similar web pages arerigorously, exhaustively organized and clustered based on some domain knowledge(semantic-based) .Ontology which is a formal representation of domain knowledgeaids in such efficient utilization. The performance of almost all thesemantic-based clustering techniques depends on the constructed ontology,describing the domain knowledge . The proposed methodology provides an enhancedpronominal anaphora resolution, one of the key aspects of semantic analysis inNatural Language Processing for obtaining cross references within a web pageproviding better ontology construction. The experimental data sets exhibitsbetter efficiency of the proposed method compared to earlier traditionalalgorithms.

Visualizing Domain Ontology using Enhanced Anaphora Resolution Algorithm