NLDB 2008 invites researchers to submit papers on recent, unpublished research on all aspects of Natural Language processing and management related to information systems.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