[InetBib] Wissensorganisation ’15 Call for papers

["Wartena, Christian" <Christian.Wartena@xxxxxxxxxxxxxx>]

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=== CALL FOR PAPERS ===

Wissensorganisation ’15  - Lexical Resources for Knowledge Organization

Pre-conference workshop at NLDB 2015 (16. Juni 2015, Passau, Germany)

Link: http://isko-de.org/konferenzen/wissensorganisation15/

---- TOPIC AND SCOPE OF THE WORKSHOP ----

“Wissensorganisation” is the name of a series of bi-annual 
conferences/workshops with a long tradition organized by the German chapter of 
the International Society of Knowledge Organisation (ISKO).
Knowledge organization as discipline has a long standing tradition. Traditional 
knowledge organization focusses on the description and structuring of knowledge 
in libraries, archives, databases, scientific domains, etc. Besides formal 
relations, more or less all knowledge organization systems (KOS) use words from 
natural languages and short phrases to describe the concepts in the system. 
Though knowledge organization systems are not intended to be used as lexical 
resources, the meaning of the terms in a KOS usually is closely related to 
their common meaning in science or application fields. Thus to some extent a 
KOS also can figure as lexical resources.
Lexical resources (LR) provide linguistic information about words. This 
information can be represented in very diverse data structures, from simple 
lists to complex resources with many types of linguistic information and 
relations associated with the entries stored in the resource. Since most KOSs 
use natural language to describe concepts, LRs can have a high value for the 
construction and extension of KOSs and for the identification of concepts of 
KOSs in texts.
The workshop wants to contribute to the discussion and identification of future 
research that combines language resources, especially lexical resources in the 
context of knowledge organization.

The topics of interest include, but are not limited, to the following aspects:
•             The Relation between Knowledge Organization Systems and Lexicons
•             The Role of Natural Language Labels for Concepts in Thesauri and 
Ontologies
•             Indexing of Texts with Concepts from Knowledge Organization 
Systems
•             Using Text Corpora for the Construction and Extension of 
Knowledge Organization Systems
•             Classification Schemes, Taxonomies, and Categorization Schemes
•             Thesauri, Semantic Networks and Ontologies
•             Knowledge Modeling and Engineering
•             Engineering and Management Aspects of Knowledge Organization
•             Automatic Categorization and Indexing
•             Knowledge Organization Systems for Understanding, Sensemaking, 
and Learning
•             Knowledge Organization Systems for Knowledge Discovery in Very 
Large Datasets
•             Organization of Unstructured Information
•             Knowledge Organization for the Future

Organizing Committee
•             Ernesto William De Luca, Potsdam University of Applied Sciences, 
Germany
•             Christian Wartena, Hochschule Hannover, Germany

Program Committee Members List (will be extended)
•             Rosa Aga, Hannover University of Applied Sciences
•             Ina Blümel, Hannover University of Applied Sciences
•             Ulrich Heid, University of Hildesheim
•             Uta Priss, Ostfalia Hochschule Wolfenbüttel
•             Juan M. Cigarran, UNED, Spain
•             Ivo Keller, TU Berlin
•             Andreas Nürnberger, OVGU, Germany
•             Peter Ohly, GESIS Köln
•             Ana Garcia-Serrano, UNED, Spain
•             Manfred Stede, University of Potsdam
•             Armando Stellato, University of Tor Vergata, Italy


Prof. Dr. Christian Wartena
Hochschule Hannover
Fakultät III - Medien, Information und Design
Abt. Information und Kommunikation
Lehrgebiet Sprach- und Wissensverarbeitung
Studiengangskoordinator Bachelor Informationsmanagement (BIM)

Expo Plaza 12
30539 Hannover
e-mail: 
christian.wartena@xxxxxxxxxxxxxx<mailto:christian.wartena@xxxxxxxxxxxxxx>
Tel: +49 (0)511 9296 2594

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