LEADER 01536nam  2200349z- 450 
001 9910347057203321
005 20210212
010   $a1000037230
035   $a(CKB)4920000000101944
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/57610
035   $a(oapen)doab57610
035   $a(EXLCZ)994920000000101944
100   $a20202102d2014      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aRanking for Web Data Search Using On-The-Fly Data Integration
210   $cKIT Scientific Publishing$d2014
215   $a1 online resource (VII, 202 p. p.)
311 08$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   $ainformation retrieval
610   $asearch
610   $asemantic search
610   $aweb data
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