Titlebook: Knowledge Discovery, Knowledge Engineering and Knowledge Management; First International Ana Fred,Jan L. G. Dietz,Joaquim Filipe Conferenc

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Andreas Dengel,Benjamin Adriancal Sciences," the origin of a book has no significance, and the name "chapter" is more usual. Therefore, the name of subdivisions was changed in the translation, although no structural surgery was performed. I have also added a brief bibliography, which was absent in the original edition. The first

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Madjid Fathi,Alexander Hollandnslation of the re­ cently discovered Arabic text of four books of Diophantos not extant in Greek. Warm thanks are also due to Wyllis Bandler (Colchester, England) who read my English text very carefully and suggested several improve­ ments, and to Annemarie Fellmann (Frankfurt) and Erwin Neuenschwa

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Eniko Szekely,Eric Bruno,Stephane Marchand-Mailletwo metrics in the language of weights..The Ahlfors regular conformal dimension of a compact metric space is characterized as the critical index of .p.-energies associated with the partition and the weight function corresponding to the metric.. These notes should interest researchers and PhD students

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Extracting and Rendering Representative Sequencesisualizing sequence data and we demonstrate their efficiency on a real world example from social sciences. The methods are nonetheless by no way limited to social science data and should prove useful in many other domains.

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How to Rank Terminology Extracted by ,pproach to extract the terminology from log files, which is guided by Web to evaluate the extracted terms. We score the extracted terms by a . and . based measure. We favor the more relevant terms of domain and emphasize the precision by filtering terms based on their scores. The experiments show th

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Towards a Formalization of Ontology Relations in the Context of Ontology Repositoriesogy repositories. Applied in the context of a large collection of automatically crawled ontologies, DOOR and KANNEL provide a starting point for analyzing the underlying structure of the network of ontologies that is the Semantic Web.

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ARAGOG Semantic Search Engine: Working, Implementation and Comparison with Keyword-Based Search Engild match its intended context, with a high probability. The main motive behind innovation of Aragog is simple – Focus on user’s actual intent of search than number of results. The engine has been designed and tested and the results have been found to be exemplary. In comparison to traditional search

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