Structure-guiding Modular Reasoning for Expressive Ontologies
نویسندگان
چکیده
We propose a technique that combine an OWL 2 EL reasoner with an OWL 2 reasoner to classify expressive ontologies. We exploit the information implied by the ontology structure to identify a small non-EL ontology that contains necessary axioms to ensure the completeness. In the process of ontology classification, the bulk of workload is delegated to an efficient OWL 2 EL reasoner and the small part of workload is handled by a less efficient OWL 2 reasoner. Experimental results show that our approach leads to a reasonable task assignment and offers a substantial speedup in ontology classification.
منابع مشابه
Integrity and Change in Modular Ontologies
The benefits of modular representations are well known from many areas of computer science. In this paper, we concentrate on the benefits of modular ontologies with respect to local containment of terminological reasoning. We define an architecture for modular ontologies that supports local reasoning by compiling implied subsumption relations. We further address the problem of guaranteeing the ...
متن کاملReasoning and change management in modular ontologies
The benefits of modular representations are well known from many areas of computer science. While in software engineering modularization is mainly a vehicle for supporting distributed development and re-use, in knowledge representation, the main goal of modularization is efficiency of reasoning. In this paper, we concentrate on the benefits of modularization in the context of ontologies, explic...
متن کاملEfficient instance retrieval over semi-expressive ontologies
In the last years, the vision of the Semantic Web fostered the interest in reasoning over growing sets of assertional statements in ontologies. Traditional tableau-based reasoning systems have problems to answer queries over large ontological data sets because these reasoning systems are based on efficient use of main memory data structures. Increasing expressivity and worst-case complexity fur...
متن کاملSoundness Preserving Approximation for TBox Reasoning
Large scale ontology applications require efficient and robust description logic (DL) reasoning services. Expressive DLs usually have very high worst case complexity while tractable DLs are restricted in terms of expressive power. This brings a new challenge: can users use expressive DLs to build their ontologies and still enjoy the efficient services as in tractable languages. In this paper, w...
متن کاملA Meta-Ontology Approach for Representing and Processing Imprecise Knowledge in Ontologies
Ontologies have been employed in several applications regarding knowledge representation, aiming to represent data semantics and support reasoning tasks. However, traditional ontologies are less suitable to represent some domains that require the representation of vague or imprecise information, which often occurs in human language. In order to handle such restriction, it is necessary to extend...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016