RQL: A Declarative Query Language for RDF

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RQL: A Declarative Query Language for RDF (0)

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by Greg Karvounarakis , Sofia Alexaki , Vassilis Christophides , Dimitris Plexousakis , Michel Scholl

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247 - 27 self

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@INPROCEEDINGS{Karvounarakis_rql:a,
    author = {Greg Karvounarakis and Sofia Alexaki and Vassilis Christophides and Dimitris Plexousakis and Michel Scholl},
    title = {RQL: A Declarative Query Language for RDF},
    booktitle = {},
    year = {},
    pages = {592--603},
    publisher = {ACM Press}
}

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Abstract

Real-scale Semantic Web applications, such as Web Portals and E-Marketplaces, require the management of voluminous metadata repositories containing descriptive information (i.e., metadata) about the available Web resources and services. Better knowledge about the meaning, usage, accessibility or quality of these resources and services will considerably facilitate the automated processing of both Web content and services. In this context, the Resource Description Framework (RDF) enables the creation and exchange of metadata as any other Web data. Although large volumes of RDF descriptions are already appearing (e.g., as exported Portal catalogs or service descriptions), sufficiently expressive declarative languages for querying both RDF descriptions and schemas are still missing. In this paper, we propose RQL, a new RDF query language, relying on a formal graph model that permits the interpretation of superimposed resource descriptions. RQL is an OQL-inspired adaptation of XML query languages to the peculiarities of RDF but, foremost, is an extension of this functionality for uniformly querying both descriptions and schemas. We illustrate the syntax, semantics and core functionality of RQL bymeans of a set of benchmark queries and report on the performance of RSSDB, our persistent RDF Store, for storing and querying voluminous RDF descriptions.

Keyphrases

declarative query language rdf description voluminous metadata repository web portal xml query available web resource core functionality automated processing persistent rdf store oql-inspired adaptation real-scale semantic web application better knowledge expressive declarative language service description benchmark query descriptive information voluminous rdf description resource description rql bymeans web data large volume formal graph model web content resource description framework portal catalog new rdf query language

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