A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
KEA: practical automatic keyphrase extraction
Proceedings of the fourth ACM conference on Digital libraries
Natural language analysis for semantic document modeling
Data & Knowledge Engineering
Ontologies for conceptual modeling: their creation, use, and management
Data & Knowledge Engineering
Editorial: special issues: "Web retrieval and mining"
Decision Support Systems - Web retrieval and mining
Automatic Ontology-Based Knowledge Extraction from Web Documents
IEEE Intelligent Systems
A Conceptual Modeling Approach to Semantic Document Retrieval
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
Constructing common information spaces
ECSCW'97 Proceedings of the fifth conference on European Conference on Computer-Supported Cooperative Work
International Journal of Metadata, Semantics and Ontologies
Development of a web-based student enquiry system: integration of ontology and case-based reasoning
International Journal of Metadata, Semantics and Ontologies
International Journal of Web and Grid Services
APCCM '09 Proceedings of the Sixth Asia-Pacific Conference on Conceptual Modeling - Volume 96
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The Semantic Web vision offers the potential to express queries in a more semantic way. However, the unstructured nature of existing web documents, which lack semantics, proves to be a difficult task for such a query. To support this, the semantic information content of web documents needs to be specified in order to make the tangled information more structured and accessible. In this paper, we propose an approach meant to semantically query web documents using a natural language analysis technique and a domain specific ontology. Using both techniques, the tool gradually constructs the semantic document model of the documents retrieved from an existing search engine for each search session, which is represented as XML. The semantic model can then be semantically refined and browsed by the user.