A Visual Language for Web Querying and Reasoning

Berger, Sacha; Bry, François; Schaffert, Sebastian

doi:10.1007/978-3-540-24572-8_7

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…It is the expressed goal of the authors of eRQL to provide a " Google-like query language but also with the capacity to profit of the additional information given by the RDF data". 11 The resulting language is, unsurprisingly, of rather limited expressiveness and can not express most of the sample queries.…”

Section: The Relational Query Languages Sparql Rql Triple and Xcerptmentioning

confidence: 99%

“…Querying RDF data with Xcerpt is the subject of ongoing investigation [19]. A visual language, called visXcerpt [11,12], has been conceived as a visual rendering of textual Xcerpt programs, making it possible to freely switch during programming between the visual and textual view, or rendering, of a program.…”

Section: Forall St S[type-$>$t] $O] and P[rdfs:domain-$>$t]) Forallmentioning

confidence: 99%

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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: The Relational Query Languages Sparql Rql Triple and Xcerptmentioning

confidence: 99%

Section: Forall St S[type-$>$t] $O] and P[rdfs:domain-$>$t]) Forallmentioning

confidence: 99%

RDF Querying: Language Constructs and Evaluation Methods Compared

Furche¹,

Linse²,

Bry³

et al. 2006

Reasoning Web

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“…visXcerpt [2] is Xcerpt's visual companion language related to it in an unusual way: visXcerpt is a visual query language obtained by mere rendering of Xcerpt without changing the language constructs or the runtime system for query evaluation. This rendering is mainly achieved via CSS styling of Xcerpt's constructs.…”

Section: Subterm Negationmentioning

confidence: 99%

Effective and Efficient Data Access in the Versatile Web Query Language Xcerpt

Berger¹,

Bry²,

Furche³

et al. 2006

Principles and Practice of Semantic Web Reasoning

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Abstract. Access to Web data has become an integral part of many applications and services. In the past, such data has usually been accessed through human-tailored HTML interfaces. Nowadays, rich client interfaces in desktop applications or, increasingly, in browser-based clients ease data access and allow more complex client processing based on XML or RDF data retrieved through Web service interfaces. Convenient specifications of the data processing on the client and flexible, expressive service interfaces for data access become essential in this context. Web query languages such as XQuery, XSLT, SPARQL, or Xcerpt have been tailored specifically for such a setting: declarative and efficient access and processing of Web data. Xcerpt stands apart among these languages by its versatility, i.e., its ability to access not just one Web format but many. In this demonstration, two aspects of Xcerpt are illustrated in detail: The first part of the demonstration focuses on Xcerpt's pattern matching constructs and rules to enable effective and versatile data access. It uses a concrete practical use case from bibliography management to illustrate these language features. Xcerpt's visual companion language visXcerpt is used to provide an intuitive interface to both data and queries. The second part of the demonstration shows recent advancements in Xcerpt's implementation focusing on experimental evaluation of recent complexity results and optimization techniques, as well as scalability over a number of usage scenarios and input sizes.

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“…As already discussed, a visualization based on styling of queries is highly advantageous in a Semantic Web setting. As demonstrated in Berger et al (2003], it also can serve as a foundation for interactive features such as authoring of queries. On this foundation, more advanced authoring tools (e.g., for verifica-tion and validation of queries) can be implemented.…”

Section: Authoring and Modelingmentioning

confidence: 99%

Querying the Web Reconsidered

Bry

Koch

Furche

et al. 2005

International Journal on Semantic Web and Information Systems

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A decade of experience with research proposals as well as standardized query languages for the conventional Web and the recent emergence of query languages for the Semantic Web call for a reconsideration of design principles for Web and Semantic Web query languages. This chapter first argues that a new generation of versatile Web query languages is needed for solving the challenges posed by the changing Web: We call versatile those query languages able to cope with both Web and Semantic Web data expressed in any (Web or Semantic Web) markup language. This chapter further suggests that well-known referential transparency and novel answer-closedness are essential features of versatile query languages. Indeed, they allow queries to be considered like forms and answers like form-fillings in the spirit of the query-by-example paradigm. This chapter finally suggests that the decentralized and heterogeneous nature of the Web requires incomplete data specifications (or incomplete queries) and incomplete data selections (or incomplete answers); the form-like query can be specified without precise knowledge of the queried data, and answers can be restricted to contain only an excerpt of the queried data.

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A Visual Language for Web Querying and Reasoning

Cited by 7 publications

References 10 publications

RDF Querying: Language Constructs and Evaluation Methods Compared

RDF Querying: Language Constructs and Evaluation Methods Compared

Effective and Efficient Data Access in the Versatile Web Query Language Xcerpt

Querying the Web Reconsidered

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