Textual context analysis for information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
CiteSeer: an automatic citation indexing system
Proceedings of the third ACM conference on Digital libraries
Building an Ontology Based on Hub Words for Information Retrieval
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Efficient Phrase-Based Document Indexing for Web Document Clustering
IEEE Transactions on Knowledge and Data Engineering
Evaluation Metrics for Ontology Complexity and Evolution Analysis
ICEBE '06 Proceedings of the IEEE International Conference on e-Business Engineering
An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval
IEEE Transactions on Knowledge and Data Engineering
An ontology-based information retrieval model
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Understanding context before using it
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
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Scientific writing requires gathering information, evaluating it, and using and citing the work of others as references. These references should be relevant and provide more information to the context where they have been cited, thereby providing ease of understanding to the readers. In the process, relevant references are manually selected and cited by the document creator, but a few relevant papers may be left unnoticed by him/her. But a context-based reference system automatically retrieves relevant reference papers that are candidates for citation in the selected context of a seed document, thereby aiding the document creator to refer to unnoticed references and check the relevancy of already cited ones. In the context-based citation retrieval system, relevant references are filtered after mapping the concepts with the domain ontology and document ontology. The filtered results are then ranked based on factors like publication and the type of paper after user feedback.