Call for Papers-The International Symposium on Natural Language Processing (SNLP) and Agriculture Ontology Service (AOS) 2011
The International Symposium on Natural Language Processing (SNLP) has been firmly established and held biannually in Thailand since 1993. To recognize the trends in the service industry, this year SNLP will be held jointly with the Agriculture Ontology Service (AOS) conference, emphasizing on the theme of service research innovation. Paper topics expand widely from the fields of language engineering, ontology engineering, language sciences and services, knowledge sciences and knowledge services, service research innovation to applications utilized these research areas.
Technical Topics
Paper submissions of original and unpublished research are invited. Topics include but are not limited to:
SNLP Topics
- Theoretical and Applied Linguistics
- Language Engineering
- Speech Processing
- Text Processing
- Machine Translation
- Multilingual Processing
- Language Learning
- Corpus and Language Resources
- Ontology Engineering
- Ontology Research
- Language and IR/IE
- Language and Ontology Unifying
- Language Services
- Knowledge Sciences
- Knowledge Services
- Languages for Disability
- Cognitive aspects of those research areas
- Computation aspects of those research areas
- Applications of those research areas
- Other related topics
AOS Topics
- Theory and Methodology in Agricultural Ontology Service
- Automatic information retrieval and classification
- Implementation methods of Agricultural Ontology Service
- Knowledge organization and discovery
- Language and editing tools
- Agricultural ontology and semantic web
- Evaluation and ordering tools
- The design and implementation of Agricultural Ontology Concept Server
- Ontology based intelligent Agricultural service system
- Mappings between the AGROVOC and China agricultural information Repository
- Ontology integration and the knowledge model of emergency response coordination
- Ontology technology and the environmental distress system
- Ontology technology and the decision support for agricultural disaster
- Ontology technology and the public security
- Ontology technology and the natural disaster
- Other related topics
