Ranking for Web Data Search Using On-The-Fly Data Integration
dc.contributor.author | Herzig, Daniel Markus | * |
dc.date.accessioned | 2021-02-12T00:48:41Z | |
dc.date.available | 2021-02-12T00:48:41Z | |
dc.date.issued | 2014 | * |
dc.date.submitted | 2019-07-30 20:01:58 | * |
dc.identifier | 34452 | * |
dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/57610 | |
dc.description.abstract | 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. | * |
dc.language | English | * |
dc.subject | QA75.5-76.95 | * |
dc.subject.classification | bic Book Industry Communication::U Computing & information technology::UY Computer science | en_US |
dc.subject.other | search | * |
dc.subject.other | information retrieval | * |
dc.subject.other | web data | * |
dc.subject.other | semantic search | * |
dc.title | Ranking for Web Data Search Using On-The-Fly Data Integration | * |
dc.type | book | |
oapen.identifier.doi | 10.5445/KSP/1000037230 | * |
oapen.relation.isPublishedBy | 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 | * |
oapen.relation.isbn | 9783731501367 | * |
oapen.pages | VII, 202 p. | * |
peerreview.review.type | Full text | |
peerreview.anonymity | All identities known | |
peerreview.reviewer.type | Internal editor | |
peerreview.reviewer.type | External peer reviewer | |
peerreview.review.stage | Pre-publication | |
peerreview.open.review | No | |
peerreview.publish.responsibility | Scientific or Editorial Board | |
peerreview.id | 8ad5c235-9810-49eb-b358-27c8675324d9 | |
peerreview.title | Dissertations (Dissertationen) |
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