Abstract
In this paper we describe a framework for the application of semantic granularities to the Semantic Web. Given a data source and an ontology formalizing qualities which describe the source, we define a dynamic granularity system for the navigation of the repository according to different levels of detail, i.e., granularities. Semantic granularities summarize the degree of informativeness of the qualities, taking into account both the individuals populating the repository, which concur in the definition of the implicit semantics, and the ontology schema, which gives the formal semantics. The method adapts and extends to ontologies existing natural language processing techniques for topics generalization.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11915072_109.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Newby, G.B.: Cognitive space and information space. Journal of the American Society for Information Science and Technology 52(12), 1026–1048 (2001)
Guha, R., McCool, R., Miller, E.: Semantic search. In: Proc. of the 12th Int’l Conference on World Wide Web, pp. 700–709. ACM Press, New York (2003)
Belkin, N.J., Oddy, N.R., Brooks, M.H.: ASK for Information Retrieval: Part I. Backgrownd and Theory. Journal of Documentation 38(2), 61–71 (1982)
Bettini, C., Jajodia, S., Wang, S.X.: Time Granularities in Databases, Data Mining, and Temporal Reasoning. Springer, Heidelberg (2000)
Stell, J.G., Worboys, M.: Stratified Map Spaces: A Fomal Basis for Multi-Resolution Spatial Databases. In: Proc. of 8th Int’l Symposium on Spatial Data Handling, pp. 180–189 (1998)
Camossi, E., Bertino, E., Bertolotto, M.: A multigranular object-oriented framework supporting spatio-temporal granularity conversions. Int’l Journal of Geographical Information Science 20(5), 511–534 (2006)
Bittner, T., Stell, J.G.: Stratified Rough Sets and Vagueness. In: Kuhn, W., Worboys, M.F., Timpf, S. (eds.) COSIT 2003. LNCS, vol. 2825, pp. 270–286. Springer, Heidelberg (2003)
Fonseca, F.T., Egenhofer, M.J., Davis, C.A., Camara, G.: Semantic Granularity in Ontology-Driven Geographic Information Systems. Annals of Mathematics and Artificial Intelligence, Special Issue on Spatial and Temporal Granularity 36(1-2), 121–151 (2002)
Lin, C.Y.: Knowledge-based automatic topic identification. In: Proc. of the 33rd Annual Meeting on Association for Computational Linguistics, Association for Computational Linguistics, pp. 308–310 (1995)
Pike, W., Gahegan, M.: Constructing Semantically Scalable Cognitive Spaces. In: Kuhn, W., Worboys, M.F., Timpf, S. (eds.) COSIT 2003. LNCS, vol. 2825, pp. 332–348. Springer, Heidelberg (2003)
Winston, M.E., Chaffin, R., Herrmann, D.: A Taxonomy of Part-Whole Relations. Cognitive Science 11, 417–444 (1987)
Varzi, A.C.: Parts, Wholes, and Part-Whole Relations: The Prospects of Mereotopology. Data & Knowledge Engineering 20, 259–286 (1996)
Artale, A., Franconi, E., Guarino, N., Pazzi, L.: Part-Whole Relations in Object-Centered Systems: An Overview. Data & Knowledge Engineering 20, 347–383 (1996)
Albertoni, R., Bertone, A., De Martino, M.: Information Search: The Challenge of Integrating Information Visualization and Semantic Web. In: Proc. of the 16th Int’l Workshop on Database and Expert Systems Applications, pp. 529–533. IEEE, Los Alamitos (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
Albertoni, R., Camossi, E., De Martino, M., Giannini, F., Monti, M. (2006). Semantic Granularity for the Semantic Web. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. OTM 2006. Lecture Notes in Computer Science, vol 4278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11915072_93
Download citation
DOI: https://doi.org/10.1007/11915072_93
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-48273-4
Online ISBN: 978-3-540-48276-5
eBook Packages: Computer ScienceComputer Science (R0)