Ontologies and Language Technologies for Business Information Systems - OntoLangBIS INTRODUCTION BIS conference provides a forum for the dissemination of research on the design, implementation and deployment of computer systems for business purposes. In the last decade, we have witnessed an ever-growing tendency towards stronger utilization of semantic and language technologies in knowledge management and acquisition processes, which are crucial tasks in the context of real-world business information systems. The goal of this special session is to present novel solutions, exchange new ideas and experiences, and to promote interdisciplinary discussion on issues concerning creation and application of ontologies as well as exploitation of intelligent natural language processing techniques in business applications. On the one hand, ontologies provide a machine-processable semantics of information that is exchanged between humans and computer systems. Various standards, tools, services and approaches for automatic ontology acquisition emerged. It will be advantageous to compare existing resources and elaborate on proximate line of research. On the other hand, recent advances in the field of language technology, in particular in the area of robust and efficient processing, structuring and searching of unstructured textual data attracts an enormous attention of the business community. Natural language processing will obviously play paramount role in next generation business applications dealing with processing vast amount of unstructured data. TOPICS OF INTEREST OntoLangBis invites submissions related to all aspects of ontologies and natural language processing techniques, which exhibit relevance to the potential usage in business information systems. The scope of the session encompasses but is not limited to: %G�%@X Domain Ontologies in BIS %G�%@X Ontologies for Services and Processes %G�%@X Applications of the Semantic Web %G�%@X Semantic Web for Decision Support %G�%@X Merging of Ontologies %G�%@X Enterprise Application Integration %G�%@X Ontologies for Information Extraction %G�%@X Ontologies for Knowledge Representation and Reasoning %G�%@X Language Technologies for Knowledge Management and Acquisition %G�%@X Mono and multilingual information extraction %G�%@X Cross-lingual Information Retrieval %G�%@X NLP-based Text Classification and Summarization %G�%@X Textual Question Answering %G�%@X Text and Web Mining Papers must be submitted electronically to the Organizing Committee (bis2005@kie.ae.poznan.pl) Important dates Submission: December 1, 2004 Acceptance notice: February 15, 2005 Manuscript closing date - March 10, 2005