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CfP BISE Journal special issue on "Linked Data in Business"

From: Sören Auer <auer@informatik.uni-leipzig.de>
Date: Sun, 22 Mar 2015 18:56:17 +0100
Message-ID: <550F0241.3090606@informatik.uni-leipzig.de>
To: semantic-web@w3c.org, Linking Open Data <public-lod@w3.org>
Dear all,

I would like point your attention to the BISE Journal special issue on
"Linked Data in Business":

There is a common misunderstanding concerning enterprise data – linked
not necessarily means open. Internal company data linked to open data
can still be private. This way enterprises gain additional value by
extension, enhancements and verification of own data against external
sources. In this special issue on “Linked Data in Business” we would
like to focus on research that studies the exploitation of linked data
in business, economics and management. Enterprises can integrate data
and discover new insights more easily and this can lead to the emergence
of new products and services.  They will also be able to solve business
challenges in new ways. For this to come true the linked data
exploration seems to be the next big step. Through the integration of
private data and linked open data as well as through the combination of
structured and originally unstructured data added-value chains can be

In the context of the above, the following topics are of special interest:
* data extraction, mapping, publishing and linking methods
* data cataloguing
* datasets retrieval
* language technologies for linked data
* business vocabularies
* geographical linked data
* enterprise data integration
* linked data mining and analytics

For details please visit: http://www.bise-journal.com/?p=974

Submission deadline is *1 November 2015*

* Paper submission deadline: 	1-11-2015
* Author notification: 		10-1-2016
* Revision due: 		28-2-2016
* Second revision: 		23-5-2016
* Planned publication:		October 2016



New H2020 project Big Data Europe: http://big-data-europe.eu

Enterprise Information Systems, Computer Science, University of Bonn

Fraunhofer Institute Intelligent Analysis & Information Systems (IAIS)
Organized Knowledge -- http://www.iais.fraunhofer.de

Skype: soerenauer, Mobile +4915784988949

Received on Sunday, 22 March 2015 17:56:50 UTC

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