Business Information Systems: 11th International Conference, by Witold Abramowicz

By Witold Abramowicz

This booklet includes the refereed court cases of the eleventh overseas convention on enterprise details structures, BIS 2008, held in Innsbruck, Austria, in may perhaps 2008. The forty-one revised complete papers have been rigorously reviewed and chosen inclusion within the publication. The contributions hide learn tendencies in addition to present achievements and leading edge advancements within the region of recent company details structures. they're grouped in sections on company method administration, provider discovery and composition, ontologies, details retrieval, company source making plans, interoperability, mobility and contexts, wikis and folksonomies, and principles and semantic queries.

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ACM 26(11), 832–843 (1983) 4. : Modern Information Retrieval. Addison Wesley, Reading (1999) 5. : Automatic dating of documents and temporal text classification. In: Proceedings of the Workshop on Annotating and Reasoning about Time and Events. Association for Computational Linguistics, Sydney, Australia, July 2006, pp. 17–22 (2006) 6. : Handbook of Temporal Reasoning in Artificial Intelligence. , Amsterdam (2005) 7. : TIDES 2005 Standard for the Annotation of Temporal Expressions (2005) 8. : Temporal reasoning based on semi-intervals.

Stop otherwise. We only present this simple association algorithm in this paper and we will study it in our future work. ) N2 Fig. 1. Distance metric in DOM Tree 20 Q. Zhang, G. Hu, and L. 1 Baseline System for Chinese Organization Name Recognition In our baseline system, we implement the algorithm proposed by Wang and Shi [1] with slight modification. In the baseline system, we do not adopt POS-tags but we employ three lexicons to identify the left boundary, the right boundary and the constraints to conduct CON recognition.

36–45. Springer, Heidelberg (1998) 12. : Extracting temporal references to assign document event-time periods. , Vogel, P. ) DEXA 2001. LNCS, vol. 2113, pp. 62–71. Springer, Heidelberg (2001) 13. : Time Annotation Guidelines For Less Commonly Taught Languages (2006) 14. : Robust temporal processing of news. In: ACL 2000: Proceedings of the 38th Annual Meeting on Association for Computational Linguistics. Association for Computational Linguistics, Morristown, NJ, USA, pp. 69–76 (2000) 15. : How many relevances in information retrieval?

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