RQL: a declarative query language for RDF

By G. Karvounarakis, S. Alexaki, V. Christophides, Dimitris Plexousakis, M. Scholl. The Web Conference, 2002

586 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/3d7a9edf9ef874cde4754f35d5e88c29ef1163eb

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In Artificial Intelligence

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Citations in the corpus

IfcOWL: A case of transforming EXPRESS schemas into ontologies (2008, background): “, 2006), SeRQL (Broekstra & Kampman, 2003), RQL (Karvounarakis et al., 2002) for which some fast and efficient free and open source software implementations exist, and pull a fraction from a large model (which itself can be distributed over various locations).”
Semantic search (2003, unknown): “So, for example, if anchor node corresponds to Eric Miller, this will give us a set of triples and also a new set of nodes (the nodes corresponding to the Semantic Web Activity and the RDF Primer) which are the targets/sources of the triples with the properties involvedInActivity and hasAuthor.”
3store: Efficient Bulk RDF Storage (2003, background): “RDQL is not the only RDF query language; although it is one of the more common, there are other graph matching query languages with comparable syntaxes and capabilities, such as RQL [16] and SquishQL [21].”
RDFPeers: a scalable distributed RDF repository based on a structured peer-to-peer network (2004, background): “RDQL operates at the RDF triple level, without taking RDF Schema information into account (like RQL [7] does) and without providing inferencing capabilities.”
An Efficient SQL-based RDF Querying Scheme (2005, methodology): “The experiments I through IV are conducted using an RDF representation of WordNet [11], a lexical database for the English language, which organizes English words into synonym sets, categorizes these synonym sets according to part of speech (noun, verb, etc.), and enumerates linguistic…”
LUBM: A benchmark for OWL knowledge base systems (2005, background): “They developed a new query language called nRQL, which made it possible to answer all of the queries in our benchmark.”
An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval (2007, methodology): “One way to view a semantic search engine is as a tool that gets formal ontology-based queries (e.g., in RDQL [32], RQL [19], SPARQL [29], etc.) from a client, executes them against a knowledge base (KB), and returns tuples of ontology values that satisfy the query [3], [4], [6], [24].”
Foundations of semantic web databases (2004, methodology): “The merge of G 1 , G 2 , denoted G 1 + G 2 , is the union G 1 ∪ G (cid:48) 2 , where G (cid:48) 2 is an isomorphic copy of G 2 whose set of blank nodes is disjoint with that of G 1 .”