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ISBN-10: 3642021905

ISBN-13: 9783642021909

Facts administration is the method of making plans, coordinating and controlling information assets. extra usually, functions have to shop and seek a large number of info. dealing with information has been continually challenged by means of calls for from a variety of parts and functions and has developed in parallel with advances in and computing techniques.

This quantity specializes in its fresh advances and it's composed of 5 components and a complete of eighteen chapters. the 1st a part of the ebook comprises 5 contributions within the quarter of data retrieval & net intelligence: a singular method of fixing index choice challenge, built-in retrieval from net of files and information, bipolarity in database querying, deriving facts summarization via ontologies, and granular computing for net intelligence.

The moment a part of the ebook includes 4 contributions in wisdom discovery region. Its 3rd half comprises 3 contributions in details integration & facts protection region. the rest elements of the booklet include six contributions within the sector of clever brokers and functions of knowledge administration in clinical area.

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Additional resources for Advances in Data Management (Studies in Computational Intelligence, Volume 223)

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1016/S0166-218X(99)00050-5 6. : A branch-and-cut algorithm for a generalization of the uncapacitated facility location problem. html 7. : Index selection in a self-adaptive relational data base management system. Tech. , Cambridge, MA, USA (1976) 8. : An efficient cost-driven index selection tool for Microsoft SQL Server. In: VLDB 1997: Proceedings of the 23rd International Conference on Very Large Data Bases, pp. 146–155. , San Francisco (1997) 9. : Index selection in relational databases. In: International Conference on Computing and Information, pp.

The system has DR components (triple matching) which render the precision and recall criteria irrelevant. But at the same time, the system also has IR components such as keyword based retrieval of documents in which case precision and recall become important. Furthermore, there are no suitable benchmarks that has documents, their semantic descriptions, some queries, and results of those queries (adjudged to be relevant by human experts). Here, we present results obtained by experimenting with the realworld AIFB SEAL [12] data that exercises some of the issues being addressed.

The precision should improve because the users can convey their information need to the system unambiguously by refining queries by including facts such as Peter, the student. ) the recall can improve especially when synonyms or acronyms or aliases are involved. Broadening searches such as obtain pages about professors should result in improved recall. 40 K. Thirunarayan and T. Immaneni The AIFB SEAL website [12] has human-consumable XHTML documents (in English and German) along-side RDF/OWL documents.

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Advances in Data Management (Studies in Computational Intelligence, Volume 223)

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