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Apologies for cross-posting<br>
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Call for papers for LHD-11 workshop at IJCAI-11, July 2011,
Barcelona:<br>
<br>
Discovering Meaning On the Go in Large & Heterogeneous Data<br>
<br>
http://dream.inf.ed.ac.uk/events/lhd-11/<br>
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<br>
An interdisciplinary approach is necessary to discover and match
meaning<br>
dynamically in a world of increasingly large data. This workshop
aims<br>
to bring together practitioners from academia, industry and
government<br>
for interaction and discussion. The workshop will feature:<br>
<br>
* A panel discussion representing industrial and governmental input,<br>
entitled "Big Society meets Big Data: Industry and Government<br>
Applications of Mapping Meaning". Panel members will include:<br>
* Peter Mika (Yahoo!)<br>
* Alon Halevy (Google)<br>
* Tom McCutcheon (Dstl)<br>
* (tbc)<br>
* An invited talk from Fausto Giunchglia, discussing the
relationship<br>
between social computing and ontology matching;<br>
* Paper and poster presentations;<br>
* Workshop sponsored by: Yahoo! Research, W3C and others<br>
<br>
Workshop Description<br>
<br>
The problem of semantic alignment - that of two systems failing to<br>
understand one another when their representations are not identical
-<br>
occurs in a huge variety of areas: Linked Data, database
integration,<br>
e-science, multi-agent systems, information retrieval over
structured<br>
data; anywhere, in fact, where semantics or a shared structure are<br>
necessary but centralised control over the schema of the data
sources is<br>
undesirable or impractical. Yet this is increasingly a critical
problem<br>
in the world of large scale data, particularly as more and more of
this<br>
kind of data is available over the Web.<br>
<br>
In order to interact successfully in an open and heterogeneous<br>
environment, being able to dynamically and adaptively integrate
large<br>
and heterogeneous data from the Web "on the go" is necessary. This
may<br>
not be a precise process but a matter of finding a good enough<br>
integration to allow interaction to proceed successfully, even if a<br>
complete solution is impossible.<br>
<br>
Considerable success has already been achieved in the field of
ontology<br>
matching and merging, but the application of these techniques -
often<br>
developed for static environments - to the dynamic integration of<br>
large-scale data has not been well studied.<br>
<br>
Presenting the results of such dynamic integration to both end-users
and<br>
database administrators - while providing quality assurance and<br>
provenance - is not yet a feature of many deployed systems. To make<br>
matters more difficult, on the Web there are massive amounts of<br>
information available online that could be integrated, but this<br>
information is often chaotically organised, stored in a wide variety
of<br>
data-formats, and difficult to interpret.<br>
<br>
This area has been of interest in academia for some time, and is<br>
becoming increasingly important in industry and - thanks to open
data<br>
efforts and other initiatives - to government as well. The aim of
this<br>
workshop is to bring together practitioners from academia, industry
and<br>
government who are involved in all aspects of this field: from those<br>
developing, curating and using Linked Data, to those focusing on<br>
matching and merging techniques.<br>
<br>
Topics of interest include, but are not limited to:<br>
<br>
* Integration of large and heterogeneous data<br>
* Machine-learning over structured data<br>
* Ontology evolution and dynamics<br>
* Ontology matching and alignment<br>
* Presentation of dynamically integrated data<br>
* Incentives and human computation over structured data and
ontologies<br>
* Ranking and search over structured and semi-structured data<br>
* Quality assurance and data-cleansing<br>
* Vocabulary management in Linked Data<br>
* Schema and ontology versioning and provenance<br>
* Background knowledge in matching<br>
* Extensions to knowledge representation languages to better support
change<br>
* Inconsistency and missing values in databases and ontologies<br>
* Dynamic knowledge construction and exploitation<br>
* Matching for dynamic applications (e.g., p2p, agents, streaming)<br>
* Case studies, software tools, use cases, applications<br>
* Open problems<br>
* Foundational issues<br>
Applications and evaluations on data-sources that are from the Web
and<br>
Linked Data are particularly encouraged.<br>
<br>
Submission<br>
<br>
LHD-11 invites submissions of both full length papers of no more
than 6<br>
pages and position papers of 1-3 pages. Authors of full-papers which
are<br>
considered to be both of a high quality and of broad interest to
most<br>
attendees will be invited to give full presentations; authors of
more<br>
position papers will be invited to participate in "group panels" and
in<br>
a poster session.<br>
<br>
All accepted papers (both position and full length papers) will be<br>
published as part of the IJCAI workshop proceedings, and will be<br>
available online from the workshop website. After the workshop, we
will<br>
be publishing a special issue of the Artificial Intelligence Review
and<br>
authors of the best quality submissions will be invited to submit<br>
extended versions of their papers (subject to the overall standard
of<br>
submissions being appropriately high).<br>
<br>
All contributions should be in pdf format and should be uploaded via<br>
http://www.easychair.org/conferences/?conf=lhd11. Authors should
follow<br>
the IJCAI author instructions<br>
http://ijcai-11.iiia.csic.es/calls/formatting_instructions.<br>
<br>
Important Dates<br>
Abstract submission: March 14, 2011<br>
Notification: April 25, 2011<br>
Camera ready: May 16, 2011<br>
Early registration: TBA<br>
Late registration: TBA<br>
Workshop: 16th July, 2011<br>
<br>
Organising Committee:<br>
Fiona McNeill (University of Edinburgh)<br>
Harry Halpin (Yahoo! Research)<br>
Michael Chan (University of Edinburgh)<br>
<br>
Program committee:<br>
Marcelo Arenas (Pontificia Universidad Catolica de Chile)<br>
Krisztian Balog (University of Amsterdam)<br>
Paolo Besana (University of Edinburgh)<br>
Roi Blanco (Yahoo! Research)<br>
Paolo Bouquet (University of Trento)<br>
Ulf Brefeld (Yahoo! Research)<br>
Alan Bundy (University of Edinburgh)<br>
Ciro Cattuto (ISI Foundation)<br>
Vinay Chaudri (SRI)<br>
James Cheney (University of Edinburgh)<br>
Oscar Corcho (Universidad Politécnica de Madrid)<br>
Shady Elbassuoni (Max-Planck-Institut für Informatik)<br>
Jerome Euzenat (INRIA Grenoble Rhone-Alpes)<br>
Eraldo Fernandez (Pontifícia Universidade Católica do Rio de
Janeiro)<br>
Aldo Gangemi (CNR)<br>
Pat Hayes (IHMC)<br>
Ivan Herman (W3C)<br>
Tom McCutcheon (Dstl)<br>
Shuai Ma (Beihang University)<br>
Ashok Malhorta (Oracle)<br>
Daniel Miranker (University of Texas-Austin)<br>
Adam Pease (Articulate Software)<br>
Valentina Presutti (CNR)<br>
David Roberston (University of Edinburgh)<br>
Juan Sequeda (University of Texas-Austin)<br>
Pavel Shvaiko (Informatica Trentina)<br>
Jamie Taylor (Google)<br>
Eveylne Viegas (Microsoft Research)<br>
<br>
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