Including Co-referent URIs in a SPARQL Query

Christian Y A Brenninkmeijer; Carole Goble; Alasdair J G Gray; Paul Groth; Antonis Loizou; Steve Pettifer

Including Co-referent URIs in a SPARQL Query

Christian Y A Brenninkmeijer, Carole Goble, Alasdair J G Gray, Paul Groth, Antonis Loizou, Steve Pettifer

Research output: Contribution to conference › Paper › peer-review

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Abstract

Linked data relies on the instance level links between potentially differing representations of concepts in multiple datasets. However, in large complex domains, such as pharmacology, the inter-relationship of data instances needs to consider the context (e.g. task, role) of the user and the assumptions they want to apply to the data. Such context is not taken into account in most linked data integration procedures. In this paper we argue that dataset links should be stored in a stand-off fashion, thus enabling different assumptions to be applied to the data links during query execution. We present the infrastructure developed for the Open PHACTS Discovery Platform to enable this and show through evaluation that the incurred performance cost is below the threshold of user perception.

Original language	English
Publication status	Published - 2013
Event	Fourth International Workshop on Consuming Linked Data - Sydney, Australia Duration: 22 Oct 2013 → 22 Oct 2013

Workshop

Workshop	Fourth International Workshop on Consuming Linked Data
Country/Territory	Australia
City	Sydney
Period	22/10/13 → 22/10/13

Keywords

Linked Data

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Including Co-referent URIs in a SPARQL QueryAccepted author manuscript, 486 KB

http://ceur-ws.org/Vol-1034/BrenninkmeijerEtAl_COLD2013.pdf

Cite this

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title = "Including Co-referent URIs in a SPARQL Query",

abstract = "Linked data relies on the instance level links between potentially differing representations of concepts in multiple datasets. However, in large complex domains, such as pharmacology, the inter-relationship of data instances needs to consider the context (e.g. task, role) of the user and the assumptions they want to apply to the data. Such context is not taken into account in most linked data integration procedures. In this paper we argue that dataset links should be stored in a stand-off fashion, thus enabling different assumptions to be applied to the data links during query execution. We present the infrastructure developed for the Open PHACTS Discovery Platform to enable this and show through evaluation that the incurred performance cost is below the threshold of user perception.",

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TY - CONF

T1 - Including Co-referent URIs in a SPARQL Query

AU - Brenninkmeijer, Christian Y A

AU - Goble, Carole

AU - Gray, Alasdair J G

AU - Groth, Paul

AU - Loizou, Antonis

AU - Pettifer, Steve

PY - 2013

Y1 - 2013

N2 - Linked data relies on the instance level links between potentially differing representations of concepts in multiple datasets. However, in large complex domains, such as pharmacology, the inter-relationship of data instances needs to consider the context (e.g. task, role) of the user and the assumptions they want to apply to the data. Such context is not taken into account in most linked data integration procedures. In this paper we argue that dataset links should be stored in a stand-off fashion, thus enabling different assumptions to be applied to the data links during query execution. We present the infrastructure developed for the Open PHACTS Discovery Platform to enable this and show through evaluation that the incurred performance cost is below the threshold of user perception.

AB - Linked data relies on the instance level links between potentially differing representations of concepts in multiple datasets. However, in large complex domains, such as pharmacology, the inter-relationship of data instances needs to consider the context (e.g. task, role) of the user and the assumptions they want to apply to the data. Such context is not taken into account in most linked data integration procedures. In this paper we argue that dataset links should be stored in a stand-off fashion, thus enabling different assumptions to be applied to the data links during query execution. We present the infrastructure developed for the Open PHACTS Discovery Platform to enable this and show through evaluation that the incurred performance cost is below the threshold of user perception.

KW - Linked Data

M3 - Paper

T2 - Fourth International Workshop on Consuming Linked Data

Y2 - 22 October 2013 through 22 October 2013

ER -

Including Co-referent URIs in a SPARQL Query

Abstract

Workshop

Keywords

Access to Document

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