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Softcust :
A Friendly Localized Platform for
Multilingual Semantic Communication
Fabian Cretton, Zhan Liu and Anne Le Calvé
Institute of Business Information Systems
University of Applied Sciences Western Switzerland
Sierre, Switzerland
fabian.cretton@hevs.ch, zhan.liu@hevs.ch
anne.lecalve@hevs.ch
04.2013
HES-SO Valais – Sierre -
Suisse
OVERVIEW
•  Motivation
•  Objectives of our solution
•  Design & development
•  Demonstration
•  Practical implication
•  Conclusion
MOTIVATION
Ming
Alice
Bonjour
你好
Gang
Automatic matching,
not just translation
Needs
•  Platform to help users match their competencies, needs, offers and activities
–  Natural Language Processing
–  Mother tong
–  Cross Language
•  Technical needs
–  Automatic matching platform
–  Full text search
–  Language's lexical semantic (synonym, hyponym, …)
–  At least 3 languages : French, English, Chinese
–  Computer sciences domain
–  Easily extensible
RESEARCH QUESTION
How can semantic web technologies improve the performance
of an exchange platform in designing a friendly localized
system with multilingual semantic communication?
3. Hybrid search :
semantic and
classical (for
words not in
ontology)
OBJECTIVES OF OUR SOLUTION
2 tools for
text analysis and search
Stored in RDBMS
1.  Users enter their informations
in differents languages
2. Sent to semantic
engine for indexing
Both semantic and
classical solution
DESIGN & DEVELOPMENT
Classical Text Search Engine
•  Text Search Engine - Apache Lucene: open source, high-performance, full-featured text
search-engine library
DESIGN & DEVELOPMENT
Multilingual database
•  Wikipedia Database: multilingual, web-based,
freely available knowledge
–  Java-based Wikipedia Library (JWPL)
–  Extracting lexical semantic knowledge
from Wikipedia
–  21 Millions articles, 280 languages
–  Three different types of information :
•  Synonyms,
•  Hyponyms ("type-of"),
•  Meronyms ("part-of")
DESIGN & DEVELOPMENT
Multilingual Semantic Search Engine
WikiOnto : SKOS ontology
each term : 3 languages + a link to Synonyms,
Hyponymy and Meronmy.
DEMONSTRATION
Page: Me
User enter their profile in mother tong
DEMONSTRATION
Page: My Domain
User describe their domain of activities
and upload documents to add more
information on their products
DEMONSTRATION
Page: My Wish List
Criteria's search for partners :
keywords, roles, domain types, countrie and
languages.
Results given in the mother tongue of the user
The semantic matching allows cross languages
searches.
PRACTICAL IMPLICATION
CONCLUSION
•  Multilingual semantic communication for automated information management through a
friendly localized platform for international communications and business models
•  New ontologies, which support the exchange multilingual semantically enriched messages.
•  Hybrid search : semantic and classical
•  Advantages:
•  Add More languages (Deutsh, Italian,…)
•  Connect to Linked Open Data (wordnet, Geonames, …)
•  Applied to other domains (eGov, BPMN,…)
•  Thematic graph of texts
Merci de votre attention

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A Friendly Localized Platform for Multilingual Semantic Communication

  • 1. Softcust : A Friendly Localized Platform for Multilingual Semantic Communication Fabian Cretton, Zhan Liu and Anne Le Calvé Institute of Business Information Systems University of Applied Sciences Western Switzerland Sierre, Switzerland fabian.cretton@hevs.ch, zhan.liu@hevs.ch anne.lecalve@hevs.ch 04.2013
  • 2. HES-SO Valais – Sierre - Suisse
  • 3. OVERVIEW •  Motivation •  Objectives of our solution •  Design & development •  Demonstration •  Practical implication •  Conclusion
  • 5. Needs •  Platform to help users match their competencies, needs, offers and activities –  Natural Language Processing –  Mother tong –  Cross Language •  Technical needs –  Automatic matching platform –  Full text search –  Language's lexical semantic (synonym, hyponym, …) –  At least 3 languages : French, English, Chinese –  Computer sciences domain –  Easily extensible
  • 6. RESEARCH QUESTION How can semantic web technologies improve the performance of an exchange platform in designing a friendly localized system with multilingual semantic communication?
  • 7. 3. Hybrid search : semantic and classical (for words not in ontology) OBJECTIVES OF OUR SOLUTION 2 tools for text analysis and search Stored in RDBMS 1.  Users enter their informations in differents languages 2. Sent to semantic engine for indexing Both semantic and classical solution
  • 8. DESIGN & DEVELOPMENT Classical Text Search Engine •  Text Search Engine - Apache Lucene: open source, high-performance, full-featured text search-engine library
  • 9. DESIGN & DEVELOPMENT Multilingual database •  Wikipedia Database: multilingual, web-based, freely available knowledge –  Java-based Wikipedia Library (JWPL) –  Extracting lexical semantic knowledge from Wikipedia –  21 Millions articles, 280 languages –  Three different types of information : •  Synonyms, •  Hyponyms ("type-of"), •  Meronyms ("part-of")
  • 10. DESIGN & DEVELOPMENT Multilingual Semantic Search Engine WikiOnto : SKOS ontology each term : 3 languages + a link to Synonyms, Hyponymy and Meronmy.
  • 11. DEMONSTRATION Page: Me User enter their profile in mother tong
  • 12. DEMONSTRATION Page: My Domain User describe their domain of activities and upload documents to add more information on their products
  • 13. DEMONSTRATION Page: My Wish List Criteria's search for partners : keywords, roles, domain types, countrie and languages. Results given in the mother tongue of the user The semantic matching allows cross languages searches.
  • 15. CONCLUSION •  Multilingual semantic communication for automated information management through a friendly localized platform for international communications and business models •  New ontologies, which support the exchange multilingual semantically enriched messages. •  Hybrid search : semantic and classical •  Advantages: •  Add More languages (Deutsh, Italian,…) •  Connect to Linked Open Data (wordnet, Geonames, …) •  Applied to other domains (eGov, BPMN,…) •  Thematic graph of texts
  • 16. Merci de votre attention