Prolog-Based Infrastructure for RDF: Scalability and Performance

Wielemaker, Jan; Schreiber, Guus; Wielinga, B.J.

doi:10.1007/978-3-540-39718-2_41

Cited by 56 publications

(38 citation statements)

References 5 publications

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“…The triple-store is a memory-based extension to Prolog realising a compact and highly efficient implementation of rdf/3 [4]. Higher level primitives are defined on top of this using Prolog backward chaining rather than transformation of data structures.…”

Section: Core Technology: Triples In Prologmentioning

confidence: 99%

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Using Triples for Implementation: The Triple20 Ontology-Manipulation Tool

Wielemaker

Schreiber

Wielinga

2005

The Semantic Web – ISWC 2005

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Abstract. Triple20 is a ontology manipulation and visualization tool for languages built on top of the Semantic-Web RDF triple model. In this article we explain how a triple-centered design compares to the use of a separate proprietary internal data model. We show how to deal with the problems of such a low-level data model and show that it offers advantages when dealing with inconsistent or incomplete data as well as for integrating tools.

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Section: Core Technology: Triples In Prologmentioning

confidence: 99%

“…In-memory storage is much faster than what can be achieved using a persistent store [4], a requirement to deal with the low-level reasoning at the triple level. The maximum capacity of the triple store is approximately 40 million triples on 32-bit hardware and virtually unlimited on 64-bit hardware.…”

Section: Scalabilitymentioning

confidence: 99%

Using Triples for Implementation: The Triple20 Ontology-Manipulation Tool

Wielemaker

Schreiber

Wielinga

2005

The Semantic Web – ISWC 2005

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“…An additional advantage of the methods is that the resulting ontologies can easily be compared using Semantic Web tools. Figure 9 shows a screenshot of the Triple20 ontology editer [9], [10] where an example concept ("allergy") is shown as it is represented in WordNet, AAT and MeSH. The uniform representation of the ontologies allows a comparative analysis of the different choices that were made in the different ontologies.…”

Section: Discussionmentioning

confidence: 99%

Methods for Porting Resources to the Semantic Web

Wielinga

Wielemaker

Schreiber

et al. 2004

Lecture Notes in Computer Science

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Abstract. Ontologies will play a central role in the development of the Semantic Web. It is unrealistic to assume that such ontologies will be developed from scratch. Rather, we assume that existing resources such as thesauri and lexical data bases will be reused in the development of ontologies for the Semantic Web. In this paper we describe a method for converting existing source material to a representation that is compatible with Semantic Web languages such as RDF(S) and OWL. The method is illustrated with three case studies: converting Wordnet, AAT and MeSH to RDF(S) and OWL.

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“…The server side is a Prolog module built on top of the SWI-Prolog SeRQL engine [8,9]. The client side is a standard Web browser that uses AJAX [10] for the dynamics of the suggestion interface.…”

Section: Functional Design For Multi-type Facet Browsingmentioning

confidence: 99%