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Ranking for Web Data Search Using On-The-Fly Data Integration

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Ranking - the algorithmic decision on how relevant an information artifact is for a given information need and the sorting of artifacts by their concluded relevancy - is an integral part of every search engine. In this book we investigate how structured Web data can be leveraged for ranking with the goal to improve the effectiveness of search. We propose new solutions for ranking using on-the-fly data integration and experimentally analyze and evaluate them against the latest baselines.

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Availability

No copy data

Detail Information

Series Title

-

Call Number

003 HER r

Publisher

: KIT Scientific Publishing., 2014

Collation

-

Language

English

ISBN/ISSN

978-3-7315-0136-7

Classification

003

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Computer Science

Specific Detail Info

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Statement of Responsibility

Daniel Markus Herzig

Other Information

Cataloger

Kurnadi

Source

-

Validator

maya

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