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Conceptual Graphs and Ontologies for Information Retrieval

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Conceptual Structures: Knowledge Architectures for Smart Applications (ICCS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4604))

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Abstract

We propose a mechanism for annotating and querying document collections based on the semantic modeling of the context of a search. We model on the one hand the topics concerned by the content of the document and on the other hand the metadata associated with the documents, by means of two ontologies expressed in the conceptual graph model. The semantic annotating mechanism is done by automatically building conceptual graphs.

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References

  1. Guha, R.V., McCool, R., Miller, E.: Semantic search. In: Proceedings of the 12th International World Wide Web Conference, pp. 700–709 (2003)

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  4. Hernandez, N., Mothe, J., Chrisment, C., Egret, D.: Modeling context through domain ontologies. Journal of Information Retrieval, Special Topic Issue on Contextual Information Retrieval (to appear)

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Uta Priss Simon Polovina Richard Hill

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© 2007 Springer-Verlag Berlin Heidelberg

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Comparot, C., Haemmerlé, O., Hernandez, N. (2007). Conceptual Graphs and Ontologies for Information Retrieval. In: Priss, U., Polovina, S., Hill, R. (eds) Conceptual Structures: Knowledge Architectures for Smart Applications. ICCS 2007. Lecture Notes in Computer Science(), vol 4604. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73681-3_39

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  • DOI: https://doi.org/10.1007/978-3-540-73681-3_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73680-6

  • Online ISBN: 978-3-540-73681-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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