Titlebook: Bridging Between Information Retrieval and Databases; PROMISE Winter Schoo Nicola Ferro Textbook 2014 Springer-Verlag Berlin Heidelberg 201

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书目名称Bridging Between Information Retrieval and Databases影响因子(影响力)




书目名称Bridging Between Information Retrieval and Databases影响因子(影响力)学科排名




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书目名称Bridging Between Information Retrieval and Databases网络公开度学科排名




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书目名称Bridging Between Information Retrieval and Databases被引频次学科排名




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书目名称Bridging Between Information Retrieval and Databases读者反馈学科排名

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Textbook 2014s and to help the user community involved in experimental evaluation. This book constitutes the outcome of the PROMISE Winter School 2013 and contains 9 invited lectures from the research domains of information retrieval and databases plus short papers of the best student poster awards. A large vari

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0302-9743 s the outcome of the PROMISE Winter School 2013 and contains 9 invited lectures from the research domains of information retrieval and databases plus short papers of the best student poster awards. A large vari978-3-642-54797-3978-3-642-54798-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Bridging Information Retrieval and Databasesith various media and data types, vague predicates form a natural extension of text retrieval methods to attribute values, thus switching from propositional to predicate logic. A more expressive IR query language should support joins, be able to compute aggregated results, and allow for restructuring of the result objects.

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Twinder: Enhancing Twitter Search In this paper, we report on our current progress, including the system architecture and the different modules for solving specific problems. Finally, we empirically determine the effectiveness of Twinder’s components with experiments on representative datasets.

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Domain-Driven News Representation Using Conditional Attribute-Value Pairsn, we distinguish between attributes and their values and argue that attributes are to be represented as an aggregated set of economic terms, keeping their values as corresponding conditional expressions. We close with a critical discussion and future perspectives.

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Knowledge Graphs as Context Models: Improving the Detection of Cross-Language Plagiarism with Paraph in different languages. Experimental results in German-English and Spanish-English cross-language plagiarism detection indicate that our knowledge graph-based approach offers a better performance compared to other state-of-the-art models.