LINGUIST List 23.4849|
Wed Nov 21 2012
Calls: Comp Ling, Applied Ling, Semantics, Text/Corpus Ling, Translation/France
Editor for this issue: Alison Zaharee
From: Rute Costa <costamrvgmail.com>
Subject: Terminology & Ontology: Theories and Applications
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Full Title: Terminology & Ontology: Theories and Applications
Short Title: TOTh 2013
Date: 06-Jun-2013 - 07-Jun-2013
Location: Chambéry, France
Contact Person: Christophe Roche
Meeting Email: < click here to access email >
Web Site: http://www.porphyre.org/toth/
Linguistic Field(s): Applied Linguistics; Computational Linguistics; Semantics; Text/Corpus Linguistics; Translation
Call Deadline: 14-Jan-2013
The TOTh conferences aim to bridge the gap between terminology and ontology by highlighting the contributions that one makes to the other and by opening up new perspectives for both theoretical and practical developments.
Terminology is about names for concepts and objects in a given subject area, but it is also concerned with other units such as collocations, lexical combinations or phraseologies in actual use, all of which are part of specialized languages and discourse. The terminologist’s job is to design and produce terminological resources which can be used for a variety of language-based activities: translation, corpus language planning, teaching language for special purposes, etc. The quality and the precision of specialised discourse is directly linked to the relation between the way lexical items are ordered and the way knowledge is organised: sufficient encouragement in itself for active collaboration between terminologists, translators, lexicographers, knowledge engineers and IT specialists.
Terminology and ontology share similar objectives in the way they approach and describe reality. Ontologies, which come from knowledge engineering, are now one of the most promising ways to model conceptual systems for terminologies. Of the numerous applications to be found in the digital world, ontologies are particularly useful to make terminologies operational and ensure their applications in various roles: as translation tools, for information and knowledge management, the semantic web, etc.
Terminology and ontology are both basically transdisciplinary in approach, and both reach out to take on board practices and theories from many different subject fields, in particular from linguistics, language for special purposes, epistemology, artificial intelligence, information sciences.
Call for Papers:
Paper submission via Easychair:
The TOTh conferences aim to bring together all those involved in LSP, terminology and knowledge engineering and, more generally, all persons interested in issues related to language and knowledge. They are designed to be platforms of exchange and sharing where problems are outlined and solutions and feedback provided, for both theoretical and applied perspectives as well as for the new trends and perspectives of associated disciplines: terminology, languages for special purposes, linguistics, artificial intelligence, knowledge engineering, information systems, collaborative engineering, information sciences, documentation, etc.
Young Researcher Prize:
Since 2011, a Young Researcher Prize is awarded by the Program committee and bestowed on the winner during the Conference.
Conference Topics (non exhaustive list):
- Language for special purposes, translation, language and terminology planning, specialized multilingual communication
- Usage, variation, term collocations, lexical combination
- Terminological products: glossaries, dictionaries, thesauri
- Corpus processing and natural language processing: text mining, extracting terms, extracting knowledge, corpus building, corpus aligning
- Creating and maintaining terminological resources, harmonizing terms and concepts, importance and limitations of corpora
- Theories of meaning, semantics
- Validating the quality of data, the role of experts
- Terminological principles for building conceptual systems
- Ontology and knowledge representation: representation, building, maintaining, aligning, merging
- Classification theory
- Information retrieval
- Mono- and multilingual thesauri, library science, records management
- Input from artificial intelligence, linguistics, epistemology, formal systems (description logic for example)
- Software environments; building and maintaining terminologies, thesauri, dictionaries, ontologies
- IT applications based on knowledge and terminology resources: semantic web, computer aided translation, mono and multilingual content management systems, specialized digital libraries, information retrieval, classification, knowledge management, information systems
- Assessing acquisition and manipulation tools, standards in the field of language and ontology resources
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