Web and Semantic Web Query Languages: A Survey

Bailey, James E.; Bry, François; Furche, Tim; Schaffert, Sebastian

doi:10.1007/11526988_3

Cited by 69 publications

(60 citation statements)

References 87 publications

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“…This article builds upon and complements the survey [5] of Semantic Web query languages co-authored in 2005 by some of the authors of the present article. 5 While the focus of the 2005 survey has been a complete, but therefore necessarily somewhat shallow coverage of Semantic Web query languages, including on the one hand query languages for Topic Maps and on the other hand all known "dialectal" variations of RDF query languages.…”

Section: Focus Of This Articlementioning

confidence: 80%

RDF Querying: Language Constructs and Evaluation Methods Compared

Furche¹,

Linse²,

Bry³

et al. 2006

Reasoning Web

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Abstract. This article is firstly an introduction into query languages for the Semantic Web, secondly an in-depth comparison of the languages introduced. Only RDF query languages are considered because, as of the writing of this paper, query languages for other Semantic Web data modeling formalisms, especially OWL, are still an open research issue, and only a very small number of, furthermore incomplete, proposals for querying Semantic Web data modeled after other formalisms than RDF exist. The limitation to a few RDF query languages is motivated both by the objective of an in-depth comparison of the languages addressed and by space limitations. During the three years before the writing of this article, more than three dozen proposals for RDF query languages have been published! Not only such a large number, but also the often immature nature of the proposals makes the focus on few, but representative languages a necessary condition for a non-trivial comparison.For this article, the following RDF query languages have been, admittedly subjectively, selected: Firstly, the "relational" or "pattern-based" query languages SPARQL, RQL, TRIPLE, and Xcerpt; secondly the reactive rule query language Algae; thirdly and last the "navigational access" query language Versa. Although subjective, this choice is arguably a good coverage of the diverse language paradigms considered for querying RDF data. It is the authors' hope and expectation, that this comparison will motivate and trigger further similar studies, thus completing the present article and overcoming its limitation.

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Section: Focus Of This Articlementioning

confidence: 80%

RDF Querying: Language Constructs and Evaluation Methods Compared

Furche¹,

Linse²,

Bry³

et al. 2006

Reasoning Web

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“…Storing and retrieving RDF data is an area of research that has been well explored by researchers in the recent past [15,16,17,18] [34], BRAHMS [35], etc., to name a few. Retrieving RDF data is typically viewed as a data retrieval problem and, not surprisingly, most of the query languages have the SQL flavor [19].…”

Section: Related Researchmentioning

confidence: 99%

Integrated Retrieval from Web of Documents and Data

Thirunarayan

Immaneni

2009

Advances in Data Management

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Abstract. The Semantic Web is evolving into a property-linked web of data, conceptually different from but contained in the Web of hyperlinked documents. Data Retrieval techniques are typically used to retrieve data from the Semantic Web while Information Retrieval techniques are used to retrieve documents from the Hypertext Web. We present a Unified Web model that integrates the two webs and formalizes connection between them. We then present an approach to retrieving documents and data that captures best of both the worlds. Specifically, it improves recall for legacy documents and provides keyword-based search capability for the Semantic Web. We specify the Hybrid Query Language that embodies this approach, and the prototype system SITAR that implements it. We conclude with areas of future work.

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“…The need for high-level Web update and reactivity languages is similar to the need for high-level (Semantic) Web query languages (see [10] for a survey). High-level reactive languages will complement, not replace, HTTP and SOAP.…”

Section: Motivation and Backgroundmentioning

confidence: 99%

Twelve Theses on Reactive Rules for the Web

Bry¹,

Eckert²

2006

Current Trends in Database Technology – EDBT 2006

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Abstract. Reactivity, the ability to detect and react to events, is an essential functionality in many information systems. In particular, Web systems such as online marketplaces, adaptive (e.g., recommender) systems, and Web services, react to events such as Web page updates or data posted to a server. This article investigates issues of relevance in designing high-level programming languages dedicated to reactivity on the Web. It presents twelve theses on features desirable for a language of reactive rules tuned to programming Web and Semantic Web applications.

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Web and Semantic Web Query Languages: A Survey

Cited by 69 publications

References 87 publications

RDF Querying: Language Constructs and Evaluation Methods Compared

RDF Querying: Language Constructs and Evaluation Methods Compared

Integrated Retrieval from Web of Documents and Data

Twelve Theses on Reactive Rules for the Web

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