Storage Retrieval

Download Information Search, Integration, and Personalization: by Asanee Kawtrakul, Dominique Laurent, Nicolas Spyratos, PDF

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By Asanee Kawtrakul, Dominique Laurent, Nicolas Spyratos, Yuzuru Tanaka

This e-book constitutes the refereed post-proceedings of the overseas Workshop on info seek, Integration and Personalization, ISIP 2013, held in Bangkok, Thailand, in September 2013. the ten revised complete papers offered have been rigorously reviewed and chosen from 28 displays. The papers are prepared in topical sections on wisdom federation and integration; info discovery; advice platforms and ontologies.

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Additional resources for Information Search, Integration, and Personalization: International Workshop, ISIP 2013, Bangkok, Thailand, September 16--18, 2013. Revised Selected Papers

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5. 6. 7. 8. 9. Amazon. Dynamodb. Web page. com/dynamodb/ Amazon. Rds. Web page. com/rds/ Amazon. Simpledb. Web page. com/simpledb/ Apache. Hadoop. Web page. : A view of cloud computing. Commun. , Kanne, C. : Jaql: a scripting language for large scale semistructured data analysis. : Scope: easy and efficient parallel processing of massive data sets. , Wang. : XCache: a semantic caching system for XML queries. In: SIGMOD, Madison, Wisconsin, USA, p. : Semantic caching of web queries. VLDBJ 9(1), 2–17 (2000) 42 R.

Nat. Genet. 25(1), 25–29 (2000) 8. AAT Web site. edu/research/tools/vocabularies/aat/ 9. The DBPedia Ontology. org/Ontology 10. , Ribeiro-Neto, B. ): Modern Information Retrieval. AddisonWesley, Boston (1999) 11. : From manual to semiautomatic semantic annotation: about ontology-based text annotation tools. In: Proceedings of the COLING International Workshop on Semantic Annotation and Intelligent Context (2000) 12. : On deep annotation. In: Proceedings of International World Wide Web Conference (WWW), pp.

Bind” add the result of the query to the cache and remove all entries Qi from the cache where Q∗ ∪ Qi . We can notice that several queries can be candidate to be used for resolving an incoming query; a user defined strategy is used to choose the best one. Such strategies are to choose the entry with less bytes stored, less tuples or using statistics associated to entries to estimate the execution time. Our storing strategy keeps in cache only entries that do not overlap which is an effective way to optimize cache content.

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