paper-with-me

Papers

Combining Ontologies with Correspondences and Link Relations: The E-SHIQ Representation Framework

2013-10-09 · George A. Vouros, Georgios Santipantakis

Combining knowledge and beliefs of autonomous peers in distributed settings, is a ma- jor challenge. In this paper we consider peers that combine ontologies and reason jointly with their coupled knowledge. Ontologies are within the SHIQ fragment of Description Logics. Although there are several representation frameworks for modular Description Log- ics, each one makes crucial assumptions concerning the subjectivity of peers' knowledge, the relation between the domains over which ontologies are interpreted, the expressivity of the constructors used for combining knowledge, and the way peers share their knowledge. However in settings where autonomous peers can evolve and extend their knowledge and beliefs independently from others, these assumptions may not hold. In this article, we moti- vate the need for a representation framework that allows peers to combine their knowledge in various ways, maintaining the subjectivity of their own knowledge and beliefs, and that reason collaboratively, constructing a tableau that is distributed among them, jointly. The paper presents the proposed E-SHIQ representation framework, the implementation of the E-SHIQ distributed tableau reasoner, and discusses the efficiency of this reasoner.

📄 PDF Abstract BibTeX arXiv:1310.2493

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Extract ABox Modules for Efficient Ontology Querying

2013-05-21 · Jia Xu, Patrick Shironoshita, Ubbo Visser, Nigel John 외

The extraction of logically-independent fragments out of an ontology ABox can be useful for solving the tractability problem of querying ontologies with large ABoxes. In this paper, we propose a formal definition of an A…

Retrieval

Enhancing SPARQL Query Rewriting for Complex Ontology Alignments

2025-05-02 · Anicet Lepetit Ondo, Laurence Capus, Mamadou Bousso

SPARQL query rewriting is a fundamental mechanism for uniformly querying heterogeneous ontologies in the Linked Data Web. However, the complexity of ontology alignments, particularly rich correspondences (c : c), makes t…

A Systematic Evaluation of Knowledge Graph Embeddings for Gene-Disease Association Prediction

2025-04-11 · Catarina Canastra, Cátia Pesquita

Discovery gene-disease links is important in biology and medicine areas, enabling disease identification and drug repurposing. Machine learning approaches accelerate this process by leveraging biological knowledge repres…

Knowledge Graph EmbeddingsKnowledge GraphsLink PredictionPrediction

Rational Closure in SHIQ

2014-06-08 · Laura Giordano, Valentina Gliozzi, Nicola Olivetti, Gian Luca Pozzato

We define a notion of rational closure for the logic SHIQ, which does not enjoys the finite model property, building on the notion of rational closure introduced by Lehmann and Magidor in [23]. We provide a semantic char…

Redundancy-free Verbalization of Individuals for Ontology Validation

2016-07-24 · E. V. Vinu, P. Sreenivasa Kumar

We investigate the problem of verbalizing Web Ontology Language (OWL) axioms of domain ontologies in this paper. The existing approaches address the problem of fidelity of verbalized OWL texts to OWL semantics by explori…