Abstract
In this paper, we present an approach for classifying documents based on the notion of a semantic similarity and the effective representation of the content of the documents. The content of a document is annotated and the resulting annotation is represented by a labeled tree whose nodes and edges are represented by concepts lying within a domain ontology. A reasoning process may be carried out on annotation trees, allowing the comparison of documents between each others, for classification or information retrieval purposes. An algorithm for classifying documents with respect to semantic similarity and a discussion conclude the paper.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Al-Hulou, R., Napoli, A., Nauer, E.: Une mesure de similarité sémantique pour raisonner sur des documents. In: Euzenat, J., Carré, B. (eds.) Langages et modéles á objets, Lille (LMO 2004), Hermés, L’objet, vol. 10(2–3), pp. 217–230 (2004)
Antoniou, G., van Harmelen, F.: A Semantic Web Primer. MIT Press, Cambridge (2004)
Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P. (eds.): The Description Logic Handbook. Cambridge University Press, Cambridge (2003)
Baader, F., Sertkaya, B.: Applying Formal Concept Analysis to Description Logics. In: Eklund, P. (ed.) ICFCA 2004. LNCS (LNAI), vol. 2961, pp. 261–286. Springer, Heidelberg (2004)
Baader, F., Sertkaya, B., Turhan, A.-Y.: Computing the least common subsumer w.r.t. a background terminology. In: Alferes, J.J., Leite, J. (eds.) JELIA 2004. LNCS, vol. 3229, pp. 400–412. Springer, Heidelberg (2004)
Baader, F.: Computing the least common subsumer in the description logic \(\cal EL\) w.r.t. terminological cycles with descriptive semantics. In: Ganter, B., de Moor, A., Lex, W. (eds.) ICCS 2003. LNCS, vol. 2746, pp. 117–130. Springer, Heidelberg (2003)
Chein, M., Mugnier, M.-L.: Conceptual graphs: Fundamental notions. Revue d’intelligence artificielle 6(4), 365–406 (1992)
Fensel, D., Hendler, J., Lieberman, H., Wahlster, W. (eds.): Spinning the Semantic Web. MIT Press, Cambridge (2003)
Handschuh, S., Staab, S.: Annotation for the Semantic Web. Frontiers in Artificial Intelligence and Applications, vol. 96. IOS Press, Amsterdam (2003)
Heflin, J., Hendler, J.A., Luke, S.: SHOE: A blueprint for the semantic web. In: Spinning the Semantic Web, pp. 29–63 (2003)
Langley, P.: Elements of Machine Learning. Morgan Kaufmann Publishers, San Francisco (1996)
Lieber, J., Napoli, A.: Correct and Complete Retrieval for Case-Based Problem-Solving. In: Prade, H. (ed.) Proceedings of the 13th European Conference on Artificial Intelligence (ECAI 1998), Brighton, UK, pp. 68–72. John Wiley & Sons Ltd., Chichester (1998)
Maedche, A., Staab, S., Stojanovic, N., Studer, R., Sure, Y.: SEmantic portAL: the SEAL Approach. In: Fensel, D., Hendler, J., Lieberman, H., Wahlster, W. (eds.) Spinning the Semantic Web, pp. 317–359. MIT Press, Cambridge (2003)
Mugnier, M.L.: On generalization/specialization for conceptual graphs. Journal of Experimental & Theoretical Artificial Intelligence 6(3), 325–344 (1995)
Napoli, A., Laurenço, C., Ducournau, R.: An object-based representation system for organic synthesis planning. International Journal of Human-Computer Studies 41(1/2), 5–32 (1994)
Sebastiani, F. (ed.): ECIR 2003. LNCS, vol. 2633. Springer, Heidelberg (2003)
Staab, S., Studer, R. (eds.): Handbook on Ontologies. Springer, Berlin (2004)
Uren, V., Cimiano, P., Iria, J., Handschuh, S., Vargas-Vera, M., Motta, E., Ciravegna, F.: Semantic annotation for knowledge management: Requirements and a survey of the state of the art. Journal of Web Semantics 4(1) (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Nauer, E., Napoli, A. (2006). A Proposal for Annotation, Semantic Similarity and Classification of Textual Documents. In: Euzenat, J., Domingue, J. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2006. Lecture Notes in Computer Science(), vol 4183. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11861461_22
Download citation
DOI: https://doi.org/10.1007/11861461_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40930-4
Online ISBN: 978-3-540-40931-1
eBook Packages: Computer ScienceComputer Science (R0)