Edited Volume - Call for Papers “New Research Trends of Research in Ontologies and Lexical Resources”

Abbreviated Title: 
OntoLex Book
Call for Abstracts
Submission Deadline: 
30 Nov 2011
Contact: 
Alessandro Oltramari
Contact: 
Lu Qin
Contact: 
Piek Vossen
Contact: 
Eduard Hovy
Contact Email: 
aoltrama [at] andrew [dot] cmu [dot] edu
Contact Email: 
csluqin [at] comp [dot] polyu [dot] edu [dot] hk
Contact Email: 
p [dot] t [dot] j [dot] m [dot] vossen [at] vu [dot] nl
Contact Email: 
hovy [at] isi [dot] edu

Edited Volume - Call for Papers
“New Research Trends of Research in Ontologies and Lexical Resources”

Publisher: Springer
Scheduled publication: Summer 2012

Editors:
Alessandro Oltramari (Carnegie Mellon University, USA)
Lu Qin (Hong Kong Polytechnic University, Hong Kong)
Piek Vossen (University of Amsterdam, Netherlands)
Eduard Hovy (University of Southern California, USA)

Description
At the human level, knowledge is transferred via (multi-modal) linguistic communication; similarly, machines exchange data through messages encoded in some suitable computational language. Notwithstanding the syntax of the language, semantics is required to turn raw information into valuable knowledge. In this context, lexical resources and ontologies are the most reliable resources to convey meanings: the former describe the main lexical features of information contents to favor human-accessibility; the latter aim at identifying the formal characteristics of those contents, enabling machine-interoperability. Ontologies and lexical resources represent two sides of the same coin: knowledge technology. Since the early 90’s, the integration between ontologies and lexical resources has become a strong requirement for Knowledge Engineering and Natural Language Processing: from traditional data warehouse to the visionary notion of Web 3.0, scholars and developers have acknowledged that making explicit the semantics of data is a key issue to successful knowledge transfer and retrieval as well as to boost human usability of information systems. An important new development is the accelerating effect of the growing availability of explicit knowledge in a distributed environment, which leads to deepening and complementation of knowledge. This places an extra burden on the interoperability of these resources.
This book aims at providing a comprehensive survey of the state of the art in the interdisciplinary framework where ontologies and lexical resources integrate, as well as investigating the new directions of research in the field. This publication aspires not only to map out a path of the most valuable ideas and projects that have emerged so far within the OntoLex community but also to discuss the impact of knowledge technology beyond the common framework of application, exploring further domains of interest, such as bioinformatics, computer vision, neuroscience, etc.

Topics of the book include but are not limited to:

· Theoretical perspectives of “OntoLex science"
· Construction of OntoLex resources: models and implementations
· Integration between ontologies and lexical resources
o For NLP applications: goals, architectures, evaluation
o In the Semantic Web: goal, architectures, evaluation
o In AI systems: goal, architectures, evaluation
o In pervasive computing: vision, challenges, methods
· Ontology-based reasoning and lexica
· Ontology-driven annotation of corpora for ontology learning
· Open-source platforms for OntoLex resources
· Ontology, Lexica and multimedia
· Linguistic interfaces for OntoLex resources
· The role of OntoLex resources in social networking
· Web-Corpus linguistics for OntoLex Resource building
· Ontology-driven meta-models for multilingual lexica
· Ontology-driven meta-models for multi-modal resources

Ideally, the book will be structured along these macro-sections:

Part I: Foundations: Background, Theory, Links to Other Fields
Part II: Methods: Different Aspects of Ontology Construction
Part III: Practical Issues of Use
Appendix: The Future: Envisioning the Next 10 Years of OntoLex Research

Important dates:

November 30th: Abstracts due (max 1000 words)
December 10th: Notification of selected abstracts
February 24th: Full-papers due
March 23rd: Reviews due
April 27th: Final papers due

Please send abstracts to aoltramaATandrew.cmu.edu