Semantic data management (Dagstuhl Seminar 12171)
Semantic data management (Dagstuhl Seminar 12171)
This report documents the program and the outcomes of Dagstuhl Seminar 12171 "Semantic Data Management". The purpose of the seminar was to have a fruitful exchange of ideas between the semantic web, database systems and information retrieval communities, organised across four main themes: scalability, provenance, dynamicity and search. Relevant key questions cutting across all of these themes were: (i) how can existing DB and IR solutions be adapted to manage semantic data; and (ii) are there new challenges that arise for the DB and IR communities (i.e. are radically new techniques required)? The outcome was a deeper, more integrated understanding of the current state of the art on semantic data management and a the identification of a set of open challenges that will inform the three communities in this intersection.
semantic data, semantic web, linked data, large-scale data management, dynamicity and stream processing, provenance and access control, information retrieval and ranking
39-65
Antoniou, G.
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Corcho, O.
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Aberer, K.
8ec1f80a-4d3d-4094-9ab9-7aacab37ba53
Simperl, E.
40261ae4-c58c-48e4-b78b-5187b10e4f67
Studer, R.
2cc2b104-02d3-403c-8843-7ac26d22c3b2
21 August 2012
Antoniou, G.
d0247677-9809-475d-bad6-5969b411f71f
Corcho, O.
4e10e133-7644-4916-b337-31571d0d0c35
Aberer, K.
8ec1f80a-4d3d-4094-9ab9-7aacab37ba53
Simperl, E.
40261ae4-c58c-48e4-b78b-5187b10e4f67
Studer, R.
2cc2b104-02d3-403c-8843-7ac26d22c3b2
Antoniou, G., Corcho, O., Aberer, K., Simperl, E. and Studer, R.
(2012)
Semantic data management (Dagstuhl Seminar 12171).
Dagstuhl Reports, 2 (4), .
(doi:10.4230/DagRep.2.4.39).
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 12171 "Semantic Data Management". The purpose of the seminar was to have a fruitful exchange of ideas between the semantic web, database systems and information retrieval communities, organised across four main themes: scalability, provenance, dynamicity and search. Relevant key questions cutting across all of these themes were: (i) how can existing DB and IR solutions be adapted to manage semantic data; and (ii) are there new challenges that arise for the DB and IR communities (i.e. are radically new techniques required)? The outcome was a deeper, more integrated understanding of the current state of the art on semantic data management and a the identification of a set of open challenges that will inform the three communities in this intersection.
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Published date: 21 August 2012
Keywords:
semantic data, semantic web, linked data, large-scale data management, dynamicity and stream processing, provenance and access control, information retrieval and ranking
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 351657
URI: http://eprints.soton.ac.uk/id/eprint/351657
PURE UUID: f8a7924e-4d7e-4e35-9af9-d9eb7ba9152c
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Date deposited: 23 Apr 2013 11:21
Last modified: 14 Mar 2024 13:41
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Contributors
Author:
G. Antoniou
Author:
O. Corcho
Author:
K. Aberer
Author:
R. Studer
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