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2010
Abstract Efficient resource retrieval is a crucial issue, particularly in the context of Semantic Web, since forms of reasoning are used for answering requests. Resources are retrieved by performing a match test between each resource description and the query. This approach becomes inefficient with the increase of available resources. We propose a method for improving the retrieval process by constructing a tree index through a new conceptual clustering method for resources expressed in Web ontology languages.
Efficient resource retrieval is a crucial issue, particularly when semantic resource descriptions are considered which enable the exploitation of reasoning services during the retrieval process. In this context, resources are commonly retrieved by checking if each available resource description satisfies the given query. This approach becomes inefficient with the increase of available resources.
Abstract. Semantic service descriptions are frequently given using expressive ontology languages based on description languages. The expressiveness of these languages, however, often implies problems for efficient service discovery, especially when increasing numbers of services become available in large organizations and on the Web.
2008 •
Similarity measures play a key role in the Semantic Web perspective. Indeed, most of the ontology related operations such as ontology learning, ontology alignment, ontology ranking and ontology population are grounded on the notion of similarity. In the last few years several similarity functions have been proposed for measuring both concept similarity and ontology similarity.
2007 •
Workpackage 3 of the TONES project is concerned with automated reasoning support of ontology design and maintenance. As discussed in much more detail in the previous deliverable [LLS06], such support is needed to assist the ontology designer in carrying out a principled and systematic design-process, and to ensure that the resulting ontology is well-structured and useful for the intended application.
2004 •
Several applications require the matching of user profiles, eg, job recruitment or dating systems. In this paper we present a logical framework for specifying user profiles that allows profile description to be incomplete in the parts that are unavailable or are considered irrelevant by the user. We present an algorithm for matching demands and supplies of profiles, taking into account incompleteness of profiles and incompatibility between demand and supply.
2010 •
Abstract. We report on an experimentation of Ontology-based Data Access (OBDA) carried out in a joint project with SAPIENZA University of Rome, Free University of Bolzano, and Monte dei Paschi di Siena (MPS), where we used MASTRO for accessing, by means of an ontology, a set of data sources of the actual MPS data repository. By both looking at these sources, and by interviews with domain experts, we designed both the ontology representing the conceptual model of the domain, and the mappings between the ...
International Workshop on Description Logics
Semantics driven support for query formulation2004 •
2004 •
23rd International Workshop on Description Logics DL2010
An algebraic approach to dynamic epistemic logic2010 •
Description Logics
Towards Soundness Preserving Approximation for ABox Reasoning of OWL22010 •
2010 •
Proceeding of the 2010 …
The modular structure of an ontology: an empirical study2010 •
Lecture Notes in Computer Science
Induction of Concepts in Web Ontologies through Terminological Decision Trees2010 •
2007 •
2007 •
Proc. of DL2007
Semilarity: Towards a model-driven approach to similarity2007 •
Sheu/Semantic Computing
Machine Learning Methods for Ontology Mining2010 •
Proceedings of Semantic Web Applications and Perspectives, 3rd Italian Semantic Web Workshop, SWAP2006
Reasoning by analogy in description logics through instance-based learning2006 •
2005 •
2011 •
2006 •
2007 •