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

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

This publication constitutes the refereed post-proceedings of the foreign Workshop on details seek, Integration and Personalization, ISIP 2013, held in Bangkok, Thailand, in September 2013. the ten revised complete papers provided have been rigorously reviewed and chosen from 28 shows. The papers are equipped in topical sections on wisdom federation and integration; details discovery; suggestion platforms and ontologies.

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

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However, as the number of such descriptions might be large, we discussed an interactive approach allowing authors of composite documents to build descriptions incrementally with the help of an authoring system. The important features of descriptions as defined in this paper is that they are easy to use and easy to map to RDF. This means that document repositories based on our model have enhanced visibility, searchability, and reusability of their documents in the context of the world wide web. Our current work focuses on two topics: – The extension of the model to handle descriptions over two or more attributes (not just over the attribute Content Description).

LNCS, vol. 7279, pp. 14–25. th Abstract. Stock analyst’s report is among of several important information sources for making investment decisions, as it contains relevant information about stocks as well as recommendation where investors should buy or sell the stock together with entry and exit strategies. Good analysts should often make trustworthy recommendations so that traders following them can make regularly profits from their advices. Nevertheless, identifying good analysts is not a trivial task especially when processed manually.

Usually such an over-general summary is useless for document search. Now, intuitively, we can define the summary of a document as a description which (a) summarizes what all components of the document have in common in their descriptions and (b) it is minimal, in other words, has highest accuracy. ∗ violate the second criterion because they have The descriptions Dsum and Dsum lower accuracy than Dsum . In order to state this intuition formally, we introduce the following refinement relation over reduced descriptions.

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