Abstract
With the growth rate of information repositories, most of the current research effort are focusing on improving the accuracy in searching and managing information (especially text data), because of lacking of adaptive knowledge representation to the information content of these systems. Besides, domain knowledge is evolving and consequently, ontologies should be automatically built and extended. Thus, introducing modularity paradigm in ontology engineering is now important to tackle scalability problems. In this paper, we address the problem of representing modular ontologies at an abstract level that can improve the traditional information system with higher efficiency, in the context of previous work aiming at integrating ontology learning in traditional Information Retrieval systems on the web. The contribution consists in organizing ontology elements into semantic three-layered ontology warehouse (topic classification, domain knowledge representation, and module representation). The proposed model has been applied for textual content semantic search and relevance improvement has been observed.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Ben-Mustapha, N., Baazaoui-Zghal, H., Aufaure, M.-A., Ben-Ghezala, H.: Combining semantic search and ontology learning for incremental web ontology engineering. In: Sixth International Workshop on Web Information Systems Modeling (WISM 2009), Held in Conjunction with CAISE 2009, pp. 1036–1049 (2009)
Ben-Mustapha, N., Baazaoui-Zghal, H., Aufaure, M.-A., Ben-Ghezala, H.: Semantic search using modular ontology learning and case-based reasoning. In: Proceeding of EDBT/ICDT Workshops (2010)
Ben-Mustapha, N., Baazaoui-Zghal, H., Aufaure, M.-A., Ben-Ghezala, H.: Enhancing semantic search using case-based modular ontology. In: Proceedings of the 2010 ACM Symposium on Applied Computing, SAC 2010, pp. 1438–1439 (2010)
Ben-Mustapha, N., Aude-Aufaure, M., Baazaoui-Zghal, H., Ben-Ghezala, H.: Contextual Ontology Module Learning from Web Snippets and Past User Queries. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds.) KES 2011, Part II. LNCS (LNAI), vol. 6882, pp. 538–547. Springer, Heidelberg (2011)
Stuckenschmidt, H., Parent, C., Spaccapietra, S. (eds.): Modular Ontologies: Concepts, Theories and Techniques for Knowledge Modularization. LNCS, vol. 5445. Springer, Heidelberg (2009)
Dzbor, M., Motta, E., Studer, R., Sure, Y., Haase, P., Gómez-Pérez, A., Richard, V.B., Waterfeld, W.: Neon Lifecycle Support for Networked Ontologies (Overview and Objectives). In: Integration of Knowledge, Semantics and Digital Media Technology, pp. 451–452 (2005)
d’Aquin, M., Schlicht, A., Stuckenschmidt, H., Sabou, M.: Ontology Modularization for Knowledge Selection: Experiments and Evaluations. In: Wagner, R., Revell, N., Pernul, G. (eds.) DEXA 2007. LNCS, vol. 4653, pp. 874–883. Springer, Heidelberg (2007)
Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing. Technical report, Technical Report KSL-93-04 (1993)
Stuckenschmidt, H., Klein, M.: Structure-Based Partitioning of Large Concept Hierarchies. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, pp. 289–303. Springer, Heidelberg (2004)
Ehrig, H., Ehrig, K., Prange, U., Taentzer, G.: Fundamental Theory for Typed Attributed Graphs and Graph Transformation based on Adhesive HLR Categories. Journal of Fundam. Inf. 74(1), 31–61 (2006)
Elloumi-Chaabene, M., Ben-Mustapha, N., Baazaoui-Zghal, H., Moreno, A., SAnchez, D.: Semantic-based composition of modular ontologies applied to web query reformulation. In: Proceedings of the 6th International Conference on Software and Data Technologies ICSOFT, pp. 305–308. SciTePress (2011)
Tomassen, S.L.: Conceptual Ontology Enrichment for Web Information Retrieval. Phd, Norwegian University of Science and Technology NTNU (2011)
Parnas, D.L.: On the Criteria To Be Used in Decomposing Systems into Modules. Communications of the ACM 15(12) (December 1972)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ben Mustapha, N., Aufaure, MA., Baazaoui Zghal, H., Ben Ghezala, H. (2012). Modular Ontological Warehouse for Adaptative Information Search. In: Abelló, A., Bellatreche, L., Benatallah, B. (eds) Model and Data Engineering. MEDI 2012. Lecture Notes in Computer Science, vol 7602. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33609-6_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-33609-6_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33608-9
Online ISBN: 978-3-642-33609-6
eBook Packages: Computer ScienceComputer Science (R0)