13.3168, Confs: Natural Language and Information Systems

[LINGUIST List]

LINGUIST List:  Vol-13-3168. Tue Dec 3 2002. ISSN: 1068-4875.

Subject: 13.3168, Confs: Natural Language and Information Systems

Moderators: Anthony Aristar, Wayne State U.<aristar at linguistlist.org>
            Helen Dry, Eastern Michigan U. <hdry at linguistlist.org>

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	Terence Langendoen, U. of Arizona

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	James Yuells, EMU		Marie Klopfenstein, WSU
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	Ljuba Veselinova, Stockholm U.	Richard John Harvey, EMU
	Dina Kapetangianni, EMU		Renee Galvis, WSU
	Karolina Owczarzak, EMU		Anita Huang, EMU
	Tomoko Okuno, EMU		Steve Moran, EMU
	Lakshmi Narayanan, EMU		Sarah Murray, WSU
	Marisa Ferrara, EMU

Software: Gayathri Sriram, E. Michigan U. <gayatri at linguistlist.org>
          Zhenwei Chen, E. Michigan U. <chen at linguistlist.org>
	  Prashant Nagaraja, E. Michigan U. <prashant at linguistlist.org>

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1)
Date:  Tue, 03 Dec 2002 11:26:12 +0000
From:  f.meziane at salford.ac.uk
Subject:  Applications of Natural Language to Information Systems, Germany

-------------------------------- Message 1 -------------------------------

Date:  Tue, 03 Dec 2002 11:26:12 +0000
From:  f.meziane at salford.ac.uk
Subject:  Applications of Natural Language to Information Systems, Germany

8th International Conference on Applications of Natural Language to
Information Systems

Short Title: NLDB'03
Location: Burg, Germany
Date: 23-Jun-2003 - 25-Jun-2003
Web Site: http://www.nldb.org
Contact Person: Bernhard Thalheim
Meeting Email: thalheim at informatik.tu-cottbus.de
Linguistic Subfield: Computational Linguistics

Meeting Description:

Since 1995 the NLDB conference aims at bringing together researchers,
industrial and potential users interested in various applications of
NATURAL LANGUAGE in the DATABASE and INFORMATION SYSTEMS field.

The integration of databases and natural language has been an utopia
for a long time. Nowadays, this is an accessible convergent point on
which a lot of researchers are focusing, mainly due to the large
progress of research in natural language and to the development of new
technologies which allow the storage of real semantic electronic
dictionaries. Each aspect of an information system life cycle may be
improved by natural language techniques: database design
(specification, validation, conflict resolution), database query
languages and application programming that use new software
engineering research (e.g. natural language program
specifications). As information systems are now evolving into the
communication area, the term databases should be considered in the
broader sense of information and communication systems. topic

The topics addressed by the conference include, but are not limited
to, applications of natural language to:

Natural Language for Web Information-Intensive Services
Semantic information retrieval
Semantic Web
Semi-structered models and associated languages
Web usage, content and structure mining for discovering semantics
Concept taxonomies and web mining
Learning taxonomies and ontologies from the web
Information extraction with machine learning
Natural Language in Conceptual Modeling
Analsysis of natural language descriptions
Requirement engineering
Terminological ontologies
Paraphrasing
Dynamic modeling
Verification, consistency checking
Metadata harvesting
Natural Language Interfaces for Data Base Querying/Retrieval
Natural languages interfaces for database querying
Verification of database queries by paraphrasing
Semantic analysis for information retrieval
NL interaction with databases
Natural-Language-Based Integration of Systems
Linguistic aspects of view integration
Linguistic aspects of data warehouses
Natural language queries to multi-databases systems
Data integration and data cleansing
Large-Scale Online Linguistic Resources
Electronic dictionaries
Question-answer corpora
Informal ontologies
Linguistic databases
Digital libraries
Using Computational Linguistics for IS
Multilingual information systems
NLP in requirements engineering
NLP in knowledge management
Ontology-driven NLP
Semiotics and fundamentals
Management of Textual Databases
Text classification
Information extraction and detection
Text mining for creating metadata
Document management
Hypertext and Hyperbases

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