Topics of Interest
NLDB 2008 invites researchers to submit papers on recent,
unpublished research on all aspects of Natural Language processing
and management related to information systems. The Program
Committee also encourages people from the industry to submit papers
reporting on industrial projects. Contributions are welcome in, but
not limited, from the following topics:
- Natural Language for Web Information Intensive
Services: Semantic Information Retrieval, Semantic Web,
Social Web and Semantic Annotation, Semi-structured Models and
Associated Languages, Web Usage, Content and Structure Mining for
Discovering Semantics, Concept Taxonomies and Web Mining, Learning
Taxonomies and Ontologies from the Web, Information Extraction with
Machine Learning, Document Classification and Indexing.
- Natural Language in Conceptual Modeling:
Analysis of Natural Language Descriptions, Requirement Engineering,
Terminological Ontologies, Paraphrasing, Dynamic Modeling,
Verification, Consistency Checking, Metadata Harvesting
- Natural Language in Software Engineering:
Software design from natural language based requirements
engineering, Pattern and Dependencies Extraction from Software
Documentation, Ontology Extraction from Software Documentation,
Text Generation for Documentation of Code, Natural
Language based Programming Languages
- Natural Language Interfaces for Data Base
Querying/Retrieval: Natural Language Interfaces for
Database Querying, Verification of Database Queries by
Paraphrasing, Semantic Analysis for Information Retrieval, NL
Interaction with Databases
- Natural-Language-Based Integration of Systems:
Linguistic Aspects of View Integration, Linguistic Aspects of Data
Warehouses, Natural Language Queries to multi-database systems,
Data Integration and Data Cleansing, Ontology driven Integration,
Ontology Management
- Large-Scale Online Linguistic Resources:
Electronic Dictionaries, Question-Answer Corpora, Informal
Ontologies, Linguistic Databases, Digital Libraries
- Applications of Computational Linguistics in
Information Systems: Multi-lingual Information Systems,
NLP in Requirements Engineering, NLP in Knowledge Management,
Ontology driven NLP, Semiotics and Fundamentals
- Management of Textual Databases: Text
Classification, Information Extraction and Detection, Text Mining
for creating Metadata, Document Management, Hypertext and
Hyperbases
- Natural Language on Data Warehouses (DW) and Data
Mining (DM): Ontologies and Conceptual Modeling of DW's,
Natural Language Interfaces for Modeling and/or Querying DW's, XML,
Semistructured Document Data Warehouses, Intelligent Data
Warehouses, Text Mining
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