Carmen De Maio
ABSTRACT
This work proposes a system process for extracting automatically a fuzzy ontology from a collection of web resources. The approach exploits the Formal Concept Analysis theory for structuring the elicited knowledge, viz. concepts and relations embedded in the resources information. A simple graphical interface provides a multi-facets view which allows final users to navigate across the concepts and the relative population.
- A. Maedche, S. Staab. Ontology learning for the Semantic Web. IEEE Intelligent Systems, 16(2):72?79, 2001. Google Scholar
Digital Library
- S. Tartir, I.B. Arpinar, M. Moore, A.P. Sheth, B. Aleman-Meza, OntoQA: Metric-Based Ontology Quality Analysis IEEE Workshop on Knowledge Acquisition from Distributed, Autonomous, Semantically Heterogeneous Data and Knowledge Sources, Houston, TX, USA, 2005.Google Scholar
- C. De Maio, G. Fenza, V. Loia, S. Senatore, "Towards an automatic Fuzzy Ontology generation" FUZZ-IEEE 2009, ICC Jeju Jeju Island, Korea, August 20-24, 2009. Google ScholarDigital Library
- B. Ganter and R. Wille. Formal Concept Analysis: Mathematical Foundations. Springer, Berlin-Heidelberg, 1999. Google ScholarDigital Library
- T.T. Quan, S.C. Hui, and T.H Cao, "A Fuzzy FCA-based Approach to Conceptual Clustering for Automatic Generation of Concept Hierarchy on Uncertainty Data". In Proc. of the 2004 Concept Lattices and Their Applications Workshop, pp. 1-12.Google Scholar
- Q. T. Tho, S. C. Hui, A. C. M. Fong, and T. H. Cao, "Automatic Fuzzy Ontology generation for Semantic Web", IEEE Transactions on Knowledge and Data Engineering, Vol. 18(6), pp. 842- 856, 2006. Google ScholarDigital Library
- A. Dattolo and F. Luccio, A new Concept Map Model for E-Learning Environments. Web Information Systems and Technologies (WEBIST 2008, Funchal, Madeira, Portugal, May 2008, Revised Selected Papers), LNBIP 18, Springer, pp. 404-417, 2009.Google Scholar
- K. Cassidy, A. Walsh, and B. Coghlan, Using Hyperbolic Geometry for Visualization of Concept Spaces for Adaptive eLearning. A3H: 1st Inter. Workshop on Authoring of Adaptive & Adaptable Hypermedia, June 20, 2006, Dublin, Ireland (2006).Google Scholar
- OpenLearn Project http://openlearn.open.ac.uk/Google Scholar
- P. Suksomboon, H. Herin and M. Sala. "Pedagogical resources representation conceptual model". KICSS 2006, Ayutthaya Thailand, August, 1?4, 2006. pp.45-50.Google Scholar
Index Terms
- A Multi Facet Representation of a Fuzzy Ontology Population
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