An Optimised Semantic Web Query Language Implementation in Prolog

Wielemaker, Jan

doi:10.1007/11562931_12

Cited by 11 publications

(11 citation statements)

References 12 publications

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“…Among the reasons for such choice is the fact that there is a wide range of libraries for querying and processing of OWL2 ontologies, WordNet has an export for Prolog, and there are extensions that allow us to incorporate the notion of context into the reasoning process. Moreover, Wielemaker [20] provides a study for query translation and optimization more specifically the SeRQL RDF query language, where queries are translated to Prolog goals, optimized by reordering literals. Finally, in [21], the authors describe how to develop a semantic web application entirely in Prolog.…”

Section: Proposed Systemmentioning

confidence: 99%

Work Out the Semantic Web Search: The Cooperative Way

Melo

Rodrigues

Nogueira

2012

Advances in Artificial Intelligence

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We propose a Cooperative Question Answering System that takes as input natural language queries and is able to return a cooperative answer based on semantic web resources, more specifically DBpedia represented in OWL/RDF as knowledge base and WordNet to build similar questions. Our system resorts to ontologies not only for reasoning but also to find answers and is independent of prior knowledge of the semantic resources by the user. The natural language question is translated into its semantic representation and then answered by consulting the semantics sources of information. The system is able to clarify the problems of ambiguity and helps finding the path to the correct answer. If there are multiple answers to the question posed (or to the similar questions for which DBpedia contains answers), they will be grouped according to their semantic meaning, providing a more cooperative and clarified answer to the user.

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Section: Proposed Systemmentioning

confidence: 99%

Work Out the Semantic Web Search: The Cooperative Way

Melo

Rodrigues

Nogueira

2012

Advances in Artificial Intelligence

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“…The resulting control-structure is passed to the query optimiser (Wielemaker 2005) which uses statistics maintained by the RDF database to reorder the pure rdf/3 calls for best performance. The optimiser uses a generate-and-evaluate approach to find the optimal order.…”

Section: Fig 18 Rdf Entailment Modulementioning

confidence: 99%

SWI-Prolog and the web

Wielemaker¹,

Huang²,

Meij³

2008

Theory and Practice of Logic Programming

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Prolog is an excellent tool for representing and manipulating data written in formal languages as well as natural language. Its safe semantics and automatic memory management make it a prime candidate for programming robust Web services.Where Prolog is commonly seen as a component in a Web application that is either embedded or communicates using a proprietary protocol, we propose an architecture where Prolog communicates to other components in a Web application using the standard HTTP protocol. By avoiding embedding in external Web servers development and deployment become much easier. To support this architecture, in addition to the transfer protocol, we must also support parsing, representing and generating the key Web document types such as HTML, XML and RDF. This paper motivates the design decisions in the libraries and extensions to Prolog for handling Web documents and protocols. The design has been guided by the requirement to handle large documents efficiently. The described libraries support a wide range of Web applications ranging from HTML and XML documents to Semantic Web RDF processing.The benefits of using Prolog for Web related tasks is illustrated using three case studies.

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“…In addition, we've uploaded RDF-versions of WordNet 6 and the Getty AAT, ULAN and TGN thesauri 7 . For the annotation schema, we use Dublin Core 8 and VRA Core 3 9 .…”

Section: Example Scenariomentioning

confidence: 99%

“…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%