Matching and Merging Anonymous Terms from Web Sources

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

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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.
Alkuperäiskielienglanti
ArtikkeliNo.4
LehtiInternational journal of web and semantic technology
Vuosikerta5
Numero4
Sivut53-69
Sivumäärä17
TilaJulkaistu - lokakuuta 2014
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä, vertaisarvioitu

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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.",
keywords = "222 Other engineering and technologies, RDF, provenance, anonymous/blank nodes, LSP, professional terminology work",
author = "Kun Ji and Shanshan Wang and Lauri Carlson",
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Matching and Merging Anonymous Terms from Web Sources. / Ji, Kun; Wang, Shanshan; Carlson, Lauri.

julkaisussa: International journal of web and semantic technology, Vuosikerta 5, Nro 4, No.4, 10.2014, s. 53-69.

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

TY - JOUR

T1 - Matching and Merging Anonymous Terms from Web Sources

AU - Ji, Kun

AU - Wang, Shanshan

AU - Carlson, Lauri

PY - 2014/10

Y1 - 2014/10

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

VL - 5

SP - 53

EP - 69

JO - International journal of web and semantic technology

JF - International journal of web and semantic technology

SN - 0976-2280

IS - 4

M1 - No.4

ER -