SWQL – A Query Language for Data Integration Based on OWL

Lehti, Patrick; Fankhauser, Péter

doi:10.1007/11575863_114

Cited by 4 publications

(3 citation statements)

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“…KBs [22], [27]. This should be addressed by extending our experiments to deal with multiple heterogeneous datasets, such as complex scientific data.…”

Section: Discussionmentioning

confidence: 99%

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An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval

Castells

Fernández

Vallet

2007

IEEE Trans. Knowl. Data Eng.

336

166

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Esta es la versión de autor del artículo publicado en: This is an author produced version of a paper published in: Abstract--Semantic search has been one of the motivations of the Semantic Web since it was envisioned. We propose a model for the exploitation of ontology-based knowledge bases to improve search over large document repositories. In our view of Information Retrieval on the Semantic Web, a search engine returns documents rather than, or in addition to, exact values in response to user queries. For this purpose, our approach includes an ontology-based scheme for the semiautomatic annotation of documents, and a retrieval system. The retrieval model is based on an adaptation of the classic vector-space model, including an annotation weighting algorithm, and a ranking algorithm. Semantic search is combined with conventional keyword-based retrieval to achieve tolerance to knowledge base incompleteness. Experiments are shown where our approach is tested on corpora of significant scale, showing clear improvements with respect to keyword-based search.

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“…KBs [22], [27]. This should be addressed by extending our experiments to deal with multiple heterogeneous datasets, such as complex scientific data.…”

Section: Discussionmentioning

confidence: 99%

“…the WWW). By building upon an ontology-based layer, our model can benefit from semantic data integration facilities such as the ones proposed in [22], [27] for the combination of heterogeneous schemas.…”

Section: State Of the Artmentioning

confidence: 99%

An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval

Castells

Fernández

Vallet

2007

IEEE Trans. Knowl. Data Eng.

336

166

View full text Add to dashboard Cite

show abstract

“…In order to access such sources via ontologies Semantic Web Query Language or SWQL [14] was developed. SWQL uses an XQuery-like syntax and is like XQuery a declarative, fully compositional, strictly typed functional query language.…”

Section: Graph Oriented Model For Protein Ontologymentioning

confidence: 99%