1st CFP: IJCAI-11 Workshop on Discovering Meaning On the Go in Large & Heterogeneous Data (LHD-11)

Apologies for cross-posting

Call for papers for LHD-11 workshop at IJCAI-11, July 2011, Barcelona:

Discovering Meaning On the Go in Large & Heterogeneous Data


An interdisciplinary approach is necessary to discover and match meaning
dynamically in a world of increasingly large data.  This workshop aims
to bring together practitioners from academia, industry and government
for interaction and discussion.  The workshop will feature:

*  A panel discussion representing industrial and governmental input,
entitled "Big Society meets Big Data: Industry and Government
Applications of Mapping Meaning".  Panel members will include:
 *  Peter Mika (Yahoo!)
 *  Alon Halevy (Google)
 *  Tom McCutcheon (Dstl)
 *  (tbc)
*  An invited talk from Fausto Giunchglia, discussing the relationship
between social computing and ontology matching;
*  Paper and poster presentations;
*  Workshop sponsored by: Yahoo! Research, W3C and others

Workshop Description

The problem of semantic alignment - that of two systems failing to
understand one another when their representations are not identical -
occurs in a huge variety of areas: Linked Data, database integration,
e-science, multi-agent systems, information retrieval over structured
data; anywhere, in fact, where semantics or a shared structure are
necessary but centralised control over the schema of the data sources is
undesirable or impractical. Yet this is increasingly a critical problem
in the world of large scale data, particularly as more and more of this
kind of data is available over the Web.

In order to interact successfully in an open and heterogeneous
environment, being able to dynamically and adaptively integrate large
and heterogeneous data from the Web "on the go" is necessary. This may
not be a precise process but a matter of finding a good enough
integration to allow interaction to proceed successfully, even if a
complete solution is impossible.

Considerable success has already been achieved in the field of ontology
matching and merging, but the application of these techniques - often
developed for static environments - to the dynamic integration of
large-scale data has not been well studied.

Presenting the results of such dynamic integration to both end-users and
database administrators - while providing quality assurance and
provenance - is not yet a feature of many deployed systems. To make
matters more difficult, on the Web there are massive amounts of
information available online that could be integrated, but this
information is often chaotically organised, stored in a wide variety of
data-formats, and difficult to interpret.

This area has been of interest in academia for some time, and is
becoming increasingly important in industry and - thanks to open data
efforts and other initiatives - to government as well. The aim of this
workshop is to bring together practitioners from academia, industry and
government who are involved in all aspects of this field: from those
developing, curating and using Linked Data, to those focusing on
matching and merging techniques.

Topics of interest include, but are not limited to:

* Integration of large and heterogeneous data
* Machine-learning over structured data
* Ontology evolution and dynamics
* Ontology matching and alignment
* Presentation of dynamically integrated data
* Incentives and human computation over structured data and ontologies
* Ranking and search over structured and semi-structured data
* Quality assurance and data-cleansing
* Vocabulary management in Linked Data
* Schema and ontology versioning and provenance
* Background knowledge in matching
* Extensions to knowledge representation languages to better support change
* Inconsistency and missing values in databases and ontologies
* Dynamic knowledge construction and exploitation
* Matching for dynamic applications (e.g., p2p, agents, streaming)
* Case studies, software tools, use cases, applications
* Open problems
* Foundational issues
Applications and evaluations on data-sources that are from the Web and
Linked Data are particularly encouraged.


LHD-11 invites submissions of both full length papers of no more than 6
pages and position papers of 1-3 pages. Authors of full-papers which are
considered to be both of a high quality and of broad interest to most
attendees will be invited to give full presentations; authors of more
position papers will be invited to participate in "group panels" and in
a poster session.

All accepted papers (both position and full length papers) will be
published as part of the IJCAI workshop proceedings, and will be
available online from the workshop website. After the workshop, we will
be publishing a special issue of the Artificial Intelligence Review and
authors of the best quality submissions will be invited to submit
extended versions of their papers (subject to the overall standard of
submissions being appropriately high).

All contributions should be in pdf format and should be uploaded via
http://www.easychair.org/conferences/?conf=lhd11. Authors should follow
the IJCAI author instructions

Important Dates
Abstract submission: March 14, 2011
Notification: April 25, 2011
Camera ready: May 16, 2011
Early registration: TBA
Late registration: TBA
Workshop: 16th July, 2011

Organising Committee:
Fiona McNeill (University of Edinburgh)
Harry Halpin (Yahoo! Research)
Michael Chan (University of Edinburgh)

Program committee:
Marcelo Arenas (Pontificia Universidad Catolica de Chile)
Krisztian Balog (University of Amsterdam)
Paolo Besana (University of Edinburgh)
Roi Blanco (Yahoo! Research)
Paolo Bouquet (University of Trento)
Ulf Brefeld (Yahoo! Research)
Alan Bundy (University of Edinburgh)
Ciro Cattuto (ISI Foundation)
Vinay Chaudri (SRI)
James Cheney (University of Edinburgh)
Oscar Corcho (Universidad Politécnica de Madrid)
Shady Elbassuoni (Max-Planck-Institut für Informatik)
Jerome Euzenat (INRIA Grenoble Rhone-Alpes)
Eraldo Fernandez (Pontifícia Universidade Católica do Rio de Janeiro)
Aldo Gangemi (CNR)
Pat Hayes (IHMC)
Ivan Herman (W3C)
Tom McCutcheon (Dstl)
Shuai Ma (Beihang University)
Ashok Malhorta (Oracle)
Daniel Miranker (University of Texas-Austin)
Adam Pease (Articulate Software)
Valentina Presutti (CNR)
David Roberston (University of Edinburgh)
Juan Sequeda (University of Texas-Austin)
Pavel Shvaiko (Informatica Trentina)
Jamie Taylor (Google)
Eveylne Viegas (Microsoft Research)

The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.

Received on Saturday, 18 December 2010 01:03:01 UTC