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- 106 creator ian-horrocks.
- 106 creator rob-shearer.
- 106 type InProceedings.
- 106 label "Exploiting Partial Information in Taxonomy Construction".
- 106 sameAs 106.
- 106 abstract "One of the core services provided by OWL reasoners is classification: the discovery of all subclass relationships between class names occurring in an ontology. Discovering these relations can be computationally expensive, particularly if individual subsumption tests are costly or if the number of class names is large. We present a classification algorithm which exploits partial information about subclass relationships to reduce both the number of individual tests and the cost of working with large ontologies. We also describe techniques for extracting such partial information from existing reasoners. Empirical results from a prototypical implementation demonstrate substantial performance improvements compared to existing algorithms and implementations.".
- 106 hasAuthorList authorList.
- 106 hasTopic Semantic_Web.
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- 106 title "Exploiting Partial Information in Taxonomy Construction".
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- 125 creator alessandra-martello.
- 125 creator axel-polleres.
- 125 creator giovambattista-ianni.
- 125 creator thomas-krennwallner.
- 125 type InProceedings.
- 125 label "Dynamic Querying of Mass-Storage RDF Data with Rule-Based Entailment Regimes".
- 125 sameAs 125.
- 125 abstract "RDF Schema (RDFS) as a lightweight ontology language is gaining popularity and, consequently, tools for scalable RDFS inference and querying are needed. SPARQL has become recently a W3C standard for querying RDF data, but it mostly provides means for querying simple RDF graphs only, whereas querying with respect to RDFS or other entailment regimes is left outside the current specification. In this paper, we show that SPARQL faces certain unwanted ramifications when querying ontologies in conjunction with RDF datasets that comprise multiple named graphs, and we provide an extension for SPARQL that remedies these effects. Moreover, since RDFS inference has a close relationship with logic rules, we generalize our approach to select a custom ruleset for specifying inferences to be taken into account in a SPARQL query. We show that our extensions are technically feasible by providing benchmark results for RDFS querying in our prototype system GiaBATA, which uses Datalog coupled with a persistent Relational Database as a back-end for implementing SPARQL with dynamic rule-based inference. By employing different optimization techniques like magic set rewriting our system remains competitive with state-of-the-art RDFS querying systems.".
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- 125 title "Dynamic Querying of Mass-Storage RDF Data with Rule-Based Entailment Regimes".
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- item-1 hasContent giovambattista-ianni.
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- 136 creator boris-motik.
- 136 creator hector-perez-urbina.
- 136 creator ian-horrocks.
- 136 type InProceedings.
- 136 label "Efficient Query Answering for OWL 2".
- 136 sameAs 136.
- 136 abstract "The QL profile of OWL 2 has been designed so that it is possible to use database technology for query answering via query rewriting. We present a comparison of our resolution based rewriting algorithm with the standard algorithm proposed by Calvanese et al., implementing both and conducting an empirical evaluation using ontologies and queries derived from realistic applications. The results indicate that our algorithm produces significantly smaller rewritings in most cases, which could be important for practicality in realistic applications.".
- 136 hasAuthorList authorList.
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- 137 creator jennifer-golbeck.
- 137 creator ugur-kuter.
- 137 type InProceedings.
- 137 label "Semantic Web Service Composition in Social Environments".
- 137 sameAs 137.
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- 137 hasTopic Semantic_Web.
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- 137 title "Semantic Web Service Composition in Social Environments".
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