Since 1995, the NLDB conference aims at bringing together researcher, industrials and potential users interested in various application of Natural Language in the Database and Information Systems field. The integration of databases and natural language has been an utopia for many years. However, progress has been made and this is now an established field thanks to developments in Natural Language and technologies that made the storage and manipulation of large electronic dictionaries possible. As Information Systems are now evolving into the communication area, the term databases should be considered in the broader sense of information and communication systems. The use of Natural Language in Software Engineering has contributed to both improving the development process from the viewpoints of developers (improve the process of conceptual modeling, validation, etc) and the usability of applications by users (natural language query interfaces, semantic webs, etc).

NLDB'2014 will take place in Montpellier (France). The conference invites researchers from academia and industry to submit papers for oral or poster presentations on recent, unpublished research that addresses theoretical aspects, algorithms, applications, architectures for applied and integrated NLP, resources for applied NLP, and other aspects of NLP, as well as review and discussion papers.

Topics of interest include but are not limited to:

Date of paper submission: January 20, 2014

Applications of NLP in Information Systems: Multilingual Information Systems, NLP in Requirement Engineering, NLP in Knowledge Management, Semantic Data Integration and Data Cleaning

Social Media and Web Data: Corpus analysis, Language identification, Text normalization, Robust NLP for social media, Text classification, Information Extraction and Sentiment Analysis for social media

Semantic Web Open Linked Data: Ontology Learning and Alignment, Populating ontologies, Querying Ontologies and linked data, Semantic tagging and classification, Ontology-driven NLP

Question Answering (QA): NL interfaces to databases, QA using web data, multi-lingual QA, Non-factoid QA (how/why/opinion questions, lists), geographical QA, QA corpora and training sets

Natural language and Ubiquitous Computing: Pervasive Computing, Embedded, Robotic and Mobile Applications.

Natural Language in Conceptual Modeling: Analysis of Natural Language Descriptions, Terminological Ontologies, Consistency Checking, Metadata Creation and Harvestin