Discovering Domain-Specific Public SPARQL Endpoints: A Life-Sciences Use-Case

Aftab Iqbal

doi:10.13025/21119

Discovering Domain-Specific Public SPARQL Endpoints: A Life-Sciences Use-Case

Aftab Iqbal

Computer Science

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

Abstract

A significant portion of the LOD cloud consists of Life Sciences data sets. The LOD cloud contains billions of clinical facts linked together forming an interlinked Web of Clinical Data. However, tools for new publishers to find relevant datasets that could potentially be linked to are missing, particularly in specialist domain-specific settings. Based on a set of domain-specific keywords extracted from a local dataset, this paper proposes methods to automatically identify a list of public SPARQL endpoints whose content relates to the local dataset.

Original language	English (Ireland)
Title of host publication	18th International Database Engineering Applications Symposium
Place of Publication	Portugal
DOIs	https://doi.org/10.13025/21119
Publication status	Published - 1 Jun 2014

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10.13025/21119Licence: CC BY-NC-ND

Mmehdi ideas14 0Accepted author manuscript, 1.79 MBLicence: CC BY-NC-ND

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title = "Discovering Domain-Specific Public SPARQL Endpoints: A Life-Sciences Use-Case",

abstract = " A significant portion of the LOD cloud consists of Life Sciences data sets. The LOD cloud contains billions of clinical facts linked together forming an interlinked Web of Clinical Data. However, tools for new publishers to find relevant datasets that could potentially be linked to are missing, particularly in specialist domain-specific settings. Based on a set of domain-specific keywords extracted from a local dataset, this paper proposes methods to automatically identify a list of public SPARQL endpoints whose content relates to the local dataset. ",

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N2 - A significant portion of the LOD cloud consists of Life Sciences data sets. The LOD cloud contains billions of clinical facts linked together forming an interlinked Web of Clinical Data. However, tools for new publishers to find relevant datasets that could potentially be linked to are missing, particularly in specialist domain-specific settings. Based on a set of domain-specific keywords extracted from a local dataset, this paper proposes methods to automatically identify a list of public SPARQL endpoints whose content relates to the local dataset.

AB - A significant portion of the LOD cloud consists of Life Sciences data sets. The LOD cloud contains billions of clinical facts linked together forming an interlinked Web of Clinical Data. However, tools for new publishers to find relevant datasets that could potentially be linked to are missing, particularly in specialist domain-specific settings. Based on a set of domain-specific keywords extracted from a local dataset, this paper proposes methods to automatically identify a list of public SPARQL endpoints whose content relates to the local dataset.

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DO - 10.13025/21119

M3 - Conference Publication

BT - 18th International Database Engineering Applications Symposium

CY - Portugal

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Discovering Domain-Specific Public SPARQL Endpoints: A Life-Sciences Use-Case

Abstract

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