Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Learning to Generate CGs from Domain Specific Sentences
ICCS '01 Proceedings of the 9th International Conference on Conceptual Structures: Broadening the Base
Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Automatic Fuzzy Ontology Generation for Semantic Web
IEEE Transactions on Knowledge and Data Engineering
Question answering on top of the BT digital library
Proceedings of the 15th international conference on World Wide Web
A system for query-specific document summarization
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Enhancing Text Retrieval Performance using Conceptual Ontological Graph
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
A hybrid information retrieval model using metadata and text
ICADL'05 Proceedings of the 8th international conference on Asian Digital Libraries: implementing strategies and sharing experiences
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As compared to the classical library model of printed materials, digital library offers a more efficient way to browse and search for scholarly information in a networked environment. Currently, the most common way of searching and retrieving information from digital libraries is still by means of keyword-based queries. Over the past many years, there have been many attempts to enhance the query formalism to allow users to retrieve information in a more effective manner. Among them, natural query that is expressed using natural language is obviously the most natural form of search requests. However, typical NLP techniques for natural query retrieval suffer from high cost of complexity. In addition, they are also not very effective when dealing with grammatically imprecise search requests. In this paper, we propose a novel ontology-based approach for natural query retrieval of scholarly information using conceptual graphs. The paper will present the proposed ontology-based approach and its experimental results. The proposed approach has achieved some promising initial results.