Enhancing Recall in Semantic Querying

Jacobo Rouces

doi:10.3233/978-1-61499-330-8-291

Enhancing Recall in Semantic Querying

Jacobo Rouces

Department of Electronic Systems

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

2 Citations (Scopus)

Abstract

RDF and SPARQL are currently state-of-the-art W3C standards to respectively represent and query structured information, especially when information from different sources must be federated. However, there are various reasons for which the same knowledge can be modeled in RDF graphs that are both lexically and structurally different, which we will introduce in the next section. As RDF graphs from different sources are expected to be linked, the modeling heterogeneities will make the federated graph become sparser and inconsistent. This is detrimental to the recall of SPARQL queries, as the query graph will be built following one particular modeling choice that may not be consistently used across the reachable parts of the federated graph.

Original language	English
Title of host publication	Twelfth Scandinavian Conference in Artificial Intelligence
Editors	Manfred Jaeger, Thomas Dyhre Nielsen, Paolo Viappiani
Number of pages	4
Place of Publication	Amsterdam, Netherlands
Publisher	IOS Press
Publication date	2013
Pages	291-294
Chapter	Doctoral Symposium
ISBN (Print)	978-1-61499-329-2
ISBN (Electronic)	978-1-61499-330-8
DOIs	https://doi.org/10.3233/978-1-61499-330-8-291
Publication status	Published - 2013
Event	SCAI 2013 The 12th Scandinavian AI conference - Aalborg, Denmark Duration: 20 Nov 2013 → 22 Nov 2013 Conference number: 12

Conference

Conference	SCAI 2013 The 12th Scandinavian AI conference
Number	12
Country/Territory	Denmark
City	Aalborg
Period	20/11/2013 → 22/11/2013

Series	Frontiers in Artificial Intelligence and Applications
Volume	257
ISSN	0922-6389

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title = "Enhancing Recall in Semantic Querying",

abstract = "RDF and SPARQL are currently state-of-the-art W3C standards to respectively represent and query structured information, especially when information from different sources must be federated. However, there are various reasons for which the same knowledge can be modeled in RDF graphs that are both lexically and structurally different, which we will introduce in the next section. As RDF graphs from different sources are expected to be linked, the modeling heterogeneities will make the federated graph become sparser and inconsistent. This is detrimental to the recall of SPARQL queries, as the query graph will be built following one particular modeling choice that may not be consistently used across the reachable parts of the federated graph.",

author = "Jacobo Rouces",

year = "2013",

doi = "10.3233/978-1-61499-330-8-291",

language = "English",

isbn = "978-1-61499-329-2",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press",

pages = "291--294",

editor = "Manfred Jaeger and Nielsen, {Thomas Dyhre } and { Viappiani}, Paolo",

booktitle = "Twelfth Scandinavian Conference in Artificial Intelligence",

address = "Netherlands",

note = "SCAI 2013 The 12th Scandinavian AI conference ; Conference date: 20-11-2013 Through 22-11-2013",

}

Rouces, J 2013, Enhancing Recall in Semantic Querying. in M Jaeger, TD Nielsen & P Viappiani (eds), Twelfth Scandinavian Conference in Artificial Intelligence. IOS Press, Amsterdam, Netherlands, Frontiers in Artificial Intelligence and Applications, vol. 257, pp. 291-294, SCAI 2013 The 12th Scandinavian AI conference, Aalborg, Denmark, 20/11/2013. https://doi.org/10.3233/978-1-61499-330-8-291

Enhancing Recall in Semantic Querying. / Rouces, Jacobo.
Twelfth Scandinavian Conference in Artificial Intelligence. ed. / Manfred Jaeger; Thomas Dyhre Nielsen; Paolo Viappiani. Amsterdam, Netherlands: IOS Press, 2013. p. 291-294 (Frontiers in Artificial Intelligence and Applications, Vol. 257).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AU - Rouces, Jacobo

N1 - Conference code: 12

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N2 - RDF and SPARQL are currently state-of-the-art W3C standards to respectively represent and query structured information, especially when information from different sources must be federated. However, there are various reasons for which the same knowledge can be modeled in RDF graphs that are both lexically and structurally different, which we will introduce in the next section. As RDF graphs from different sources are expected to be linked, the modeling heterogeneities will make the federated graph become sparser and inconsistent. This is detrimental to the recall of SPARQL queries, as the query graph will be built following one particular modeling choice that may not be consistently used across the reachable parts of the federated graph.

AB - RDF and SPARQL are currently state-of-the-art W3C standards to respectively represent and query structured information, especially when information from different sources must be federated. However, there are various reasons for which the same knowledge can be modeled in RDF graphs that are both lexically and structurally different, which we will introduce in the next section. As RDF graphs from different sources are expected to be linked, the modeling heterogeneities will make the federated graph become sparser and inconsistent. This is detrimental to the recall of SPARQL queries, as the query graph will be built following one particular modeling choice that may not be consistently used across the reachable parts of the federated graph.

U2 - 10.3233/978-1-61499-330-8-291

DO - 10.3233/978-1-61499-330-8-291

M3 - Article in proceeding

SN - 978-1-61499-329-2

T3 - Frontiers in Artificial Intelligence and Applications

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EP - 294

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A2 - Jaeger, Manfred

A2 - Nielsen, Thomas Dyhre

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PB - IOS Press

CY - Amsterdam, Netherlands

T2 - SCAI 2013 The 12th Scandinavian AI conference

Y2 - 20 November 2013 through 22 November 2013

ER -

Enhancing Recall in Semantic Querying

Abstract

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