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

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...

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Збережено в:
Бібліографічні деталі
Автор: Herzig, Daniel Markus (auth)
Формат: Електронний ресурс Частина з книги
Мова:Англійська
Опубліковано: KIT Scientific Publishing 2014
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Онлайн доступ:DOAB: download the publication
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Резюме: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.
Фізичний опис:1 electronic resource (VII, 202 p. p.)
ISBN:KSP/1000037230
9783731501367
Доступ:Open Access