1. Austrian Academy of Sciences
Cognitive corpus-based LSP lexicography – research and implementation issues – a case study on the Multilingual Glossary on Risk Management
Gerhard Budin
University of Vienna
Austrian Academy of Sciences
8th of April, 2011

2. Our empirical research landscape

3. The Making of… a Multilingual Glossary on Risk Management

4. Motivations and Methods: Terminologies for Risk Communication
The Role of LSP Lexicography in domain communication
Increasing the “transparency” of terms
Help negotiate a common understanding of terms in intra-, inter- and trans-disciplinary and transcultural discourse
Help increase the consistency of risk discourse (written and spoken) and increase understanding in target audiences
Reduce unnecessary synonyms, disambiguate polysems, help separate homonyms
Help create risk terminologies in many languages
Support knowledge sharing and knowledge transfer in cooperative work environments
Support cross-cultural discourse (e.g. translation and parallel texts)

6. The Domains of Risk Management
Multidisciplinary, diverse, and fragmented - or
Transdisciplinary, overlapping, converging, integrated, and complementary
The need for mediating between different approaches, cultures, and discourses:
Technological, engineering, research, science
Administration, legislation, monitoring
Social, sociological, political, cultural
Domain approaches (financial, ecological, chemical, safety, geographical, planning and forecast, health, etc.)

7. WIN Project (FP6 2004-2009): WP “Human Language Interoperability”
Objectives
WP 2200 is designed to support international risk management and risk communication processes (within the WIN project and beyond)
Achieved results (with ongoing work)
Large parallel corpora collection with risk-related texts and lexical resources (fr, en, de, es, ro, fi, hu, ru)
Multilingual index with conceptual structure
Bibliography and codes of sources
Risk Ontology
Multilingual online terminology database

8. Integrative R&D Approach
A combination of theoretical approaches and their methods in order to achieve a result that is targeted towards the needs of the project consortium and the cooperation partners
Quantitative (computational) and qualitative (intellectual) methods of corpus analysis
Lexicographical and terminographical (word/text-oriented and concept/knowledge-oriented)
Text linguistics and translation studies
Cross-cultural comparative approach and knowledge system approach, multi-domain communication
Knowledge engineering, computational semantics/Web 2.0 (ontologies, frame semantics, etc.)
Cognitive Science approach (media pedagogy – eLearning, specific learner support, interactive approach (mental lexicon), usability engineering

9. Motivation and Convergence of Research Interests and Contexts
Interest in cognitive science research applied to terminology management, ontology engineering, translation technologies, E-Learning systems design and implementation
Research Cluster 1 “Translation – Cognition – Technologies” at the Center for Translation Studies, University of Vienna
Interdisciplinary Research Platform on Cognitive Science – Cluster on Cognitive Linguistics
Research Priority 1 Lexicology, Terminology, and Parallel Corpora at the Institute for Corpus Linguistics and Text Technology at the Austrian Academy of Sciences

10. Research contexts in several projects
Previous and ongoing projects
Dynamont
Methodology for Creating Dynamic Ontologies, BMVIT, national research programme “Semantic Systems” – multi-dimensional ontology modelling
WIN (Wide Area Information Network on Risk Management) MGRM Multilingual Glossary on Risk Management
IP (Integrated Project) in FP6, , focus on creating a multilingual terminology and ontology of risk management – risk ontology for natural hazards
Montific - Multilingual ONTology for Internal Financial Control, a LLP project (Leonardo da Vinci II)
Building a “learning ontology” for an eLearning environment
STABILITY AND ADAPTATION OF CLASSIFICATION SYSTEMS IN A CROSS-CULTURAL PERSPECTIVE - European Science Foundation: COST A 31 project
cognitive linguistics – how “classifiers” are embodied in language incl. ontologies
TES4IP - Terminology Services for the Intellectual Property Domain (Bridge project funded by FFG, Austrian Research Agency
Term extraction, multi-word term recognition, named entity recognition, legal vocabularies and legal ontologies
-> Ongoing study
Cognitive Ontologies
Designing, Generating and Using Domain Ontologies

11. Ontology Engineering and Cognitive Science
Cognitive Aspects have been of interest in a variety of ontology engineering approaches
Barry Smith
Epistemological focus combined with work on domain ontologies (mainly bio-medical)
Criticizing the epistemological foundations of terminology theory in elaborating his foundational theory of ontology
Aldo Gangemi
DOLCE: Descriptive Ontology for Linguistic and Cognitive Engineering
Foundational theory of ontology
Many projects, also on tools and on domain ontologies
But also many others (Guarino, Sheth, Obrst, Noy, et al) have done research on these aspects
Some criticism, that the focus in ontology evaluation is on syntactic evaluation for computational uses (only) – the classical scenario

12. “Cognitive Ontologies”
Conceptual clarification:
Ontologies of cognitive processes
In neuroscience research, similar to other bio-medical ontologies (cognitive atlas, neuropsychiatric phenomena, ontology of cognitive objects, etc.)
Ontologies with a focus on their cognitive aspects
DOLCE and other cognitive-oriented approaches
Constructivist epistemology for ontology building, concerning the relation to “reality”
Increasing convergence of these two concepts

13. Our own research
Our previous and ongoing projects have been focusing on cognitive adequacy of domain ontologies and their use in knowledge acquisition in learning situations
Terminology studies as a contribution from this perspective (related research by Nistrup Madsen/Erdman Thomsen 2005, 2009, etc.)
Using DOLCE design patterns for multi-dimensional conceptual modeling for ontology building
the DYNAMONT project
From domain corpora to terminologies and from there to domain ontologies
for eLearning scenarios – the MONTIFIC project
For domain experts – the WIN/MULTH/MGRM project

14. Moving up (and down) the Ontology Spectrum
The challenge: from linguistic-cultural diversity of discourse and free-form lexical structures to a unified, formalized, axiomatized ontology – and back, to support human understanding and social processes such as collaborative learning
The method: an integrative, multi-level modelling approach specifying the steps in a process-oriented workflow framework (with variable, combinable steps depending on concrete needs) for
Gradual semantic enrichment
Gradual semantic formalization
Multi- and cross-lingual referencing/alignment for text management
Constant interaction between full texts and lex-term resources
The technology: a multi-component workbench (i.e. Dynamont-WB incl. ProTerm as a central element), using XML, RDF, OWL, SKOS, WordNet + GlobalWordnet, MLIF (containing TBX, TMX, XLIFF, LMF, TMF, etc.), FrameNet, etc.
The advantage: full exploitation of all types of languages resources (LR) and knowledge organization systems (KOS), providing a framework not only for their semantic enrichment and formalization as ontologies but also for ontology-based multilingual authoring, text generation and translation

15. The global risk communication scenario
Several projects since 1994 covering the following activities:
Thesaurus building
Creating multilingual terminology databases
Creating multilingual text corpora
Lexicographical glossary
Semantic enrichment (e.g. conceptual links, frame semantics)
Collection and analysis of relevant knowledge organization systems
Annotation of resources
Mark-up of resources (TBX, etc.)
Ontology building
Communication design

16. From texts and terminologies to ontologies - and back to texts
Using the Risk scenario
Termbase
Export XML
Domain Models – meta-models -> patterns
Text corpus
Term extraction – comparative testing ProTerm, MultiTerm Extract, MultiCorpora
Aligning with termbase
Convert to RDF
Ontology import -> editor
Mappings (GMT, XML, RDF, OWL, UML, comma delimited, RDB, for different kinds of lex-term resources, FN->OWL, etc.)
The MULTH-WIN Project as an example of methods integration

19. Terminological frame semantics
INTERVENTION (ACTOR(S), ACTIVITIES/PHASES):
RISK DETECTING (PRE-EVENT)
- R-ASSESSMENT
- R-PERCEPTION (X is risk)
- EXPERIENCE (statistics, case studies)
- OBSERVATION (monitoring)
- METHOD
- SATELLITE
- PROGNOSES
- R-ANALYSIS
- R-FEATURES
- SITUATION/CONTEXT (danger/hazard)
- SIMULATION (course of events)
- PROBALISTIC METHODS (safety)
- RELIABILITY
- R-IDENTIFICATION (DAMAGE)
- R-SOURCE
- DAMAGE CAUSE
- VULNERABILITY (DAMAGE TARGET)
- SUSCEPTABILITY (capacity/people)
Rothkegel

20. Terminological frame semantics
I. Pre-event B. Public awareness and planning, II. In-event: C. Events and response
afflux/Hochwasser durch Aufstau
BE [[TYPE=flood], [PLACE=], [TIME=]],
HAVE [CAUSE [[ORIGIN=], [NIEDERSCHLAG [TYPE=]], [STAU [TYPE= Aufstau]]],
DAMAGE [TARGET=, SOURCE=, DEGREE=]],
HAPPEN [STATES=, PROCESSES=]]
backwater/Rückstau
HAVE [CAUSE [[ORIGIN=], [NIEDERSCHLAG [TYPE=]], [STAU [TYPE= Rückstau]]],
Rothkegel

22. Ordnance Survey

23. Dynamont architecture, tools and workflows

25. The Glossary
The paper version of the glossary is used by risk managers, civil engineers, but also teachers, students, translators, journalists, etc.
Generally, the purpose of such multilingual conceptual glossaries is to improve domain communication and to facilitate mutual understanding across linguistic boundaries.
The concepts of risk management and their definitions presented in this glossary were carefully selected from a large body of technical literature and authentic text corpora in the respective languages.
These sources are referenced in the bibliography.
The multilingual glossary presented here includes 8 languages: English and French as main pivot languages, as well as German, Spanish, Romanian, Finnish, Hungarian, and Russian.
It comprises about 230 central concepts of risk management with about 400 definitions and about 1400 terms representing these concepts in each language (including synonyms and hyperonyms), indicating the conceptual relations between the entries.

26. The Glossary
The following themes are used as the macro-structure of the glossary:
A. Risk assessment and technology assessment
B. Public perception of risk, planning, preparation and alarm,
C0. Risk events, equipment and operations, general terms
C1. Fire - events, equipment and operations
C2. Floods - events, equipment and operations
C3. Oil spills - events, equipment and operations.
Each glossary entry follows the same micro-structure with the following information elements:
A conceptual number combined with a theme from the macro-structure
The equivalent terms in the 8 languages, accompanied by grammatical information
The definitions of the concept in each language, including multiple definitions that may differ from each other, accompanied by the textual source of the definition, also including structural semantic information on the concept
Related terms and expressions.

28. Research issues Experimental settings User studies, user modelling
Data modelling
Corpus-analysis
Multilingual – multi-domain – cross-cultural
Knowledge dynamics - Dynamic knowledge representations
Cognitive studies

29. Conclusions and Outlook I
Online terminology database is continuously used
8-language Glossary Version produced in February 2011
Next steps in 2011:
Work in progress!
Database to be extended from 5 to 8 languages
Full text corpora to be extended
Promotion of the glossary in different user communities
Term extraction, research
Extension into more languages
More scientific publications

30. Conclusions and outlook II
Research perspectives
Further research in
Cognitive ontologies
User modelling, usability of terminological databases and LSP dictionaries
Corpus-linguistic research – semantic annotation modelling
Multilingual, multi-domain, cross-cultural issues

31. Selected References
Budin, G. Socio-terminology and computational terminology – toward an integrated, corpus-based research approach. In: De Cilia, Rudolf et al. (eds.). Discourse, Politics, Identity. Tübingen: Stauffenburg Verlag, 2010, 21-31
Budin, G. Semantic Systems supporting Cross-Disciplinary Environmental Communication. In: Hryniewicz, O.; Studzinski, J.; Szediw, A. (eds.). Environmental Informatics and Systems Research. Vol 2 Workshop and application papers. EnviroInfo Aachen 2007, 23-30
CEDIM , Center for Disaster Management and Risk Reduction Technology c/o University of Karlsruhe (2005). Glossar: Begriffe und Definitionen aus den Risikowissenschaften.
Gangemi DOLCE
Greciano, G. (2001). L'harmonisation de la terminologie en Sciences du Risque. In Proceedings of Security Conference, Montpellier XII. Council of Europe-FER. Strasbourg, France.
Greciano, G. (2001). Les sciences du risque: convergences interculturelles. In Proceedings of Risk Conference, Strasbourg X. Council of Europe-FER. Strasbourg, France.
Greciano, G. (2001). Pour un glossaire combinatoire plurilingue du Risque. Proceedings of Risk-Conference, Mèze V. Council of Europe-FER.Strasbourg, France.
Massué, J.P. (2001). "Mobilisation de la Communauté scientifique au service de l'amélioration de la gestion des risques". Mèze, FER-EUR-OPA.Strasbourg
Nistrup Madsen/Erdman Thomsen 2005, 2009

32. Alexei Milko (Strasbourg-Moscou)
Acknowledgements
GLOSSAIRE MULTILINGUE DE LA GESTION DU RISQUE Français / Allemand / Anglais / Espagnol / Roumain / Finlandais / Hongrois / Russe
édité par Gertrud Gréciano, Gerhard Budin, Danielle Candel, John Humbley avec le soutien de la Commission de l’Union Européenne, des Universités de Strasbourg, Vienne, Helsinki, de la Région Alsace, de la Délégation générale à la langue française et aux langues de France, et de l’Académie des Sciences d’Autriche.
Auteurs: Gertrud Gréciano (Strasbourg), Gerhard Budin (Vienne), Annely Rothkegel (Chemnitz), Ulrike Hass (Essen)
Traducteurs: Cornelia Cujba (Iasi), Attila Frigyer (Budapest), Luis Gonzalez (Caracas-Paris), Csilla Höfler-Bornemisza (Vienne), Annikii Liimatainen (Helsinki),
Alexei Milko (Strasbourg-Moscou)  
Coopération scientifique et technique: Steffi Baumann (Chemnitz), Aban Budin (Vienne), Christian Burghard (Chemnitz), Dimitrij Dobrovolskij (Moscou-Vienne), Eva Haas (Munich-Ispra), Natalia Jonkova (Moscou), Andra Moga (Iasi-Vienne), Maren Runte (Essen), Julia Steuber (Essen), Virginie Tombeux (Paris), Elena Volgina (Moscou)

33. Thank you for your attention
Gerhard Budin
Center for Translation Studies
University of Vienna
Institute of Corpus Linguistics and Text Technology
Austrian Academy of Sciences