Combining Safe Rules and Ontologies by Interfacing of Reasoners

Aßmann, Uwe; Henriksson, Jakob; Maluszynski, Jan

doi:10.1007/11853107_3

Cited by 7 publications

(4 citation statements)

References 15 publications

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“…SWRL formatting of rules discovered by AL -QuIn of our application. Rather, the proposal of interfacing existing reasoners to combine ontologies and rules (Assmann, Henriksson, & Maluszynski, 2006) is more similar to ours in the spirit.…”

Section: Related Workmentioning

confidence: 93%

AL-QuIn

Lisi

2011

International Journal on Semantic Web and Information Systems

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Onto-Relational Learning is an extension of Relational Learning aimed at accounting for ontologies in a clear, well-founded and elegant manner. The system -QuIn supports a variant of the frequent pattern discovery task by following the Onto-Relational Learning approach. It takes taxonomic ontologies into account during the discovery process and produces descriptions of a given relational database at multiple granularity levels. The functionalities of the system are illustrated by means of examples taken from a Semantic Web Mining case study concerning the analysis of relational data extracted from the on-line CIA World Fact Book.

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Section: Related Workmentioning

confidence: 93%

AL-QuIn

Lisi

2011

International Journal on Semantic Web and Information Systems

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“…In contrast, our operational semantics makes the programmer decide when an ontology query is evaluated. The approach of [1] allows only Boolean ontology queries. It is applicable to a certain (negation-free) subset of Xcerpt.…”

Section: Introductionmentioning

confidence: 99%

“…An intermediate approach is presented in [1]. Ontology queries which cannot be solved are accumulated during rule computation.…”

Section: Introductionmentioning

confidence: 99%

Extending XML Query Language Xcerpt by Ontology Queries

Zhang

Nasraoui

2007

IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)

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The paper addresses a problem of combining XML querying with ontology reasoning. We present an extension of a rule-based XML query and transformation language Xcerpt. The extension allows to interface an ontology reasoner from Xcerpt programs. In this way querying can employ the ontology information, for instance to filter out semantically irrelevant answers. The approach employs an existing Xcerpt engine and ontology reasoner; no modifications are required. We present the semantics of extended Xcerpt and an implementation algorithm. Communication between Xcerpt programs and ontology reasoner is based on DIG interface.

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“…This approach enables a limited form of data inference from RDF documents, which does not provide the reasoning capabilities of more complex description logic formalisms like the one formalized within the OWL-DL [165] framework. Finally, the approach which is discussed in [18] provides a general scheme for hybrid integration of rule languages with constrained-based languages such as description logic-based ontologies. The scheme is then particularized to the integration of Datalog and Xcerpt languages with a generic description logic reasoner.…”

Section: Semantic Filtering Via DL Reasoningmentioning

confidence: 99%

Rule-based Methodologies for the Specification and Analysis of Complex Computing Systems

Baggi¹

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Combining Safe Rules and Ontologies by Interfacing of Reasoners

Cited by 7 publications

References 15 publications

AL-QuIn

AL-QuIn

Extending XML Query Language Xcerpt by Ontology Queries

Rule-based Methodologies for the Specification and Analysis of Complex Computing Systems

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