LEADER 01519nam 2200337z- 450 001 9910347057203321 005 20231214132824.0 010 $a1000037230 035 $a(CKB)4920000000101944 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/57610 035 $a(EXLCZ)994920000000101944 100 $a20202102d2014 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRanking for Web Data Search Using On-The-Fly Data Integration 210 $cKIT Scientific Publishing$d2014 215 $a1 electronic resource (VII, 202 p. p.) 311 $a3-7315-0136-8 330 $aRanking - 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. 610 $asearch 610 $ainformation retrieval 610 $aweb data 610 $asemantic search 700 $aHerzig$b Daniel Markus$4auth$01314772 906 $aBOOK 912 $a9910347057203321 996 $aRanking for Web Data Search Using On-The-Fly Data Integration$93031948 997 $aUNINA