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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Format: | Book Chapter |
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KIT Scientific Publishing
2014
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Online Access: | Get Fullteks DOAB: description of the publication |
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LEADER | 01518naaaa2200277uu 4500 | ||
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001 | doab_20_500_12854_57610 | ||
005 | 20210212 | ||
020 | |a KSP/1000037230 | ||
020 | |a 9783731501367 | ||
024 | 7 | |a 10.5445/KSP/1000037230 |c doi | |
041 | 0 | |a English | |
042 | |a dc | ||
100 | 1 | |a Herzig, Daniel Markus |4 auth | |
245 | 1 | 0 | |a Ranking for Web Data Search Using On-The-Fly Data Integration |
260 | |b KIT Scientific Publishing |c 2014 | ||
300 | |a 1 electronic resource (VII, 202 p. p.) | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a 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. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-sa/4.0/ | ||
546 | |a English | ||
653 | |a search | ||
653 | |a information retrieval | ||
653 | |a web data | ||
653 | |a semantic search | ||
856 | 4 | 0 | |a www.oapen.org |u https://www.ksp.kit.edu/9783731501367 |7 0 |z Get Fullteks |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/57610 |7 0 |z DOAB: description of the publication |