LHD 2011 - IJCAI-11 Workshop on Discovering Meaning On the Go in Large & Heterogeneous Data (LHD-11)

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Category LHD 2011

Deadline: March 14, 2011 | Date: July 16, 2011

Venue/Country: Barcelona, Spain

Updated: 2010-12-18 13:13:26 (GMT+9)

Call For Papers - CFP

Discovering Meaning On the Go in Large & Heterogeneous Data

http://dream.inf.ed.ac.uk/events/lhd-11/

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.

Submission

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

http://ijcai-11.iiia.csic.es/calls/formatting_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)