PSATO: a distributed propositional prover and its application to quasigroup problems
Journal of Symbolic Computation - Special issue on parallel symbolic computation
Understanding Natural Language
Understanding Natural Language
TERMINAE: A Linguistic-Based Tool for the Building of a Domain Ontology
EKAW '99 Proceedings of the 11th European Workshop on Knowledge Acquisition, Modeling and Management
Ontological Engineering
Anaphora and Discourse Structure
Computational Linguistics
Comparing Knowledge Sources for Nominal Anaphora Resolution
Computational Linguistics
Graph-based Knowledge Representation: Computational Foundations of Conceptual Graphs
Graph-based Knowledge Representation: Computational Foundations of Conceptual Graphs
A ranking approach to pronoun resolution
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Ontology-based multiperspective requirements traceability framework
Knowledge and Information Systems
Deontic Logic Based Ontology Alignment Technique for E-Learning
International Journal of Intelligent Information Technologies
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The recent explosion in the usage of web services and information technologies had always led to the hot issue of interoperability among heterogeneous systems. Intelligent resources organization in such systems is closely coupled to the principles of Semantic (Intelligent) Web. One of the existing widespread applications of semantic web is Electronic learning (E-learning) service which is deemed to be "Education at all stages". The prerequisite of this semantic-driven resource management and content delivery in E-learning service has been facilitated by building Ontology thus playing a key role in managing and distributing the resources semantically. Out of the several challenging issues present in the construction of ontology, the problem of anaphora resolution (resolving pronouns) has a greater impact on the expressiveness of the constructed ontology. Anaphora resolution in the web documents with highly related sentences has obtained greater importance in the research area of semantic web. The crux contribution of the paper is to present a framework known as DEKA for constructing and visualizing ontology for the web documents based on Computational Linguistics (rule-based model). The paper also addresses the working of some of the automatic ontology construction methodologies. The experimental data sets taken from the web corpus have been found to produce promising results for the performance metrics.