Scientific lenses over linked data: An approach to support task specific views of the data. A vision

Christian Brenninkmeijer; Chris Evelo; Carole Goble; Alasdair J.G. Gray; Paul Groth; Steve Pettifer; Robert Stevens; Antony J. Williams; Egon L. Willighagen

Scientific lenses over linked data: An approach to support task specific views of the data. A vision

Christian Brenninkmeijer
, Chris Evelo
, Carole Goble
, Alasdair J.G. Gray
, Paul Groth
, Steve Pettifer
, Robert Stevens
, Antony J. Williams
, Egon L. Willighagen

Research output: Contribution to journal › Conference article › peer-review

Abstract

Within complex Scientific domains such as pharmacology, operational equivalence between two concepts is often context-, userand task-specific. Existing Linked Data integration procedures and equivalence services do not take the context and task of the user into account. We present a vision for enabling users to control the notion of operational equivalence by applying Scientific lenses over Linked Data. The Scientific lenses vary the links that are activated between the datasets which affects the data returned to the user.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	951
State	Published - 2012
Externally published	Yes
Event	2nd International Workshop on Linked Science - Tackling Big Data, LISC 2012 - In Conjunction with the International Semantic Web Conference, ISWC 2012 - Boston, United States Duration: Nov 12 2012 → …

Cite this

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title = "Scientific lenses over linked data: An approach to support task specific views of the data. A vision",

abstract = "Within complex Scientific domains such as pharmacology, operational equivalence between two concepts is often context-, userand task-specific. Existing Linked Data integration procedures and equivalence services do not take the context and task of the user into account. We present a vision for enabling users to control the notion of operational equivalence by applying Scientific lenses over Linked Data. The Scientific lenses vary the links that are activated between the datasets which affects the data returned to the user.",

author = "Christian Brenninkmeijer and Chris Evelo and Carole Goble and Gray, \{Alasdair J.G.\} and Paul Groth and Steve Pettifer and Robert Stevens and Williams, \{Antony J.\} and Willighagen, \{Egon L.\}",

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T2 - 2nd International Workshop on Linked Science - Tackling Big Data, LISC 2012 - In Conjunction with the International Semantic Web Conference, ISWC 2012

AU - Brenninkmeijer, Christian

AU - Evelo, Chris

AU - Goble, Carole

AU - Gray, Alasdair J.G.

AU - Groth, Paul

AU - Pettifer, Steve

AU - Stevens, Robert

AU - Williams, Antony J.

AU - Willighagen, Egon L.

PY - 2012

Y1 - 2012

N2 - Within complex Scientific domains such as pharmacology, operational equivalence between two concepts is often context-, userand task-specific. Existing Linked Data integration procedures and equivalence services do not take the context and task of the user into account. We present a vision for enabling users to control the notion of operational equivalence by applying Scientific lenses over Linked Data. The Scientific lenses vary the links that are activated between the datasets which affects the data returned to the user.

AB - Within complex Scientific domains such as pharmacology, operational equivalence between two concepts is often context-, userand task-specific. Existing Linked Data integration procedures and equivalence services do not take the context and task of the user into account. We present a vision for enabling users to control the notion of operational equivalence by applying Scientific lenses over Linked Data. The Scientific lenses vary the links that are activated between the datasets which affects the data returned to the user.

UR - https://www.scopus.com/pages/publications/84922948733

M3 - Artículo de la conferencia

AN - SCOPUS:84922948733

SN - 1613-0073

VL - 951

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 12 November 2012

ER -

Scientific lenses over linked data: An approach to support task specific views of the data. A vision

Abstract

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