Matching and Merging Anonymous Terms from Web Sources

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

Sammanfattning

This paper describes a workflow of simplifying and matching special language terms in RDF generated from trawling term candidates from Web terminology sites with TermFactory, a Semantic Web framework for professional terminology. Term candidates from such sources need to be matched and eventually merged with resources already in TermFactory. While merging anonymous data, it is important not to lose track of provenance. For coding provenance in RDF, TF uses a minor but apparently novel variant of RDF reification. In addition, TF implements a toolkit of methods for dealing with graphs containing anonymous (blank) nodes.
Originalspråkengelska
ArtikelnummerNo.4
TidskriftInternational journal of web and semantic technology
Volym5
Utgåva4
Sidor (från-till)53-69
Antal sidor17
StatusPublicerad - okt 2014
MoE-publikationstypA1 Tidskriftsartikel-refererad

Vetenskapsgrenar

  • 222 Övrig teknik och teknologi

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title = "Matching and Merging Anonymous Terms from Web Sources",
abstract = "This paper describes a workflow of simplifying and matching special language terms in RDF generated from trawling term candidates from Web terminology sites with TermFactory, a Semantic Web framework for professional terminology. Term candidates from such sources need to be matched and eventually merged with resources already in TermFactory. While merging anonymous data, it is important not to lose track of provenance. For coding provenance in RDF, TF uses a minor but apparently novel variant of RDF reification. In addition, TF implements a toolkit of methods for dealing with graphs containing anonymous (blank) nodes.",
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Matching and Merging Anonymous Terms from Web Sources. / Ji, Kun; Wang, Shanshan; Carlson, Lauri.

I: International journal of web and semantic technology, Vol. 5, Nr. 4, No.4, 10.2014, s. 53-69.

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

TY - JOUR

T1 - Matching and Merging Anonymous Terms from Web Sources

AU - Ji, Kun

AU - Wang, Shanshan

AU - Carlson, Lauri

PY - 2014/10

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N2 - This paper describes a workflow of simplifying and matching special language terms in RDF generated from trawling term candidates from Web terminology sites with TermFactory, a Semantic Web framework for professional terminology. Term candidates from such sources need to be matched and eventually merged with resources already in TermFactory. While merging anonymous data, it is important not to lose track of provenance. For coding provenance in RDF, TF uses a minor but apparently novel variant of RDF reification. In addition, TF implements a toolkit of methods for dealing with graphs containing anonymous (blank) nodes.

AB - This paper describes a workflow of simplifying and matching special language terms in RDF generated from trawling term candidates from Web terminology sites with TermFactory, a Semantic Web framework for professional terminology. Term candidates from such sources need to be matched and eventually merged with resources already in TermFactory. While merging anonymous data, it is important not to lose track of provenance. For coding provenance in RDF, TF uses a minor but apparently novel variant of RDF reification. In addition, TF implements a toolkit of methods for dealing with graphs containing anonymous (blank) nodes.

KW - 222 Other engineering and technologies

KW - RDF

KW - provenance

KW - anonymous/blank nodes

KW - LSP

KW - professional terminology work

M3 - Article

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SP - 53

EP - 69

JO - International journal of web and semantic technology

JF - International journal of web and semantic technology

SN - 0976-2280

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