LEADER 00867nam0-22002891i-450 001 990006237960403321 005 20221228180914.0 035 $a000623796 035 $aFED01000623796 035 $a(Aleph)000623796FED01 100 $a19980601d1986----km-y0itay50------ba 101 0 $ager 102 $aCH 105 $a----m---00-yy 200 1 $aZur rechtlichen Analyse der Parkplatzbenutzung$fHugo Werren 210 $aZurich$cSchulthess Polygraphischer Verlag$d1986 215 $aXVI,, 98 p.$cill.$d23 cm 225 1 $aSchriftenreihe zum Konsumentenschutzrecht$v18 676 $a343.0982$v22 700 1$aWerren,$bHugo$0235983 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990006237960403321 952 $aDISSERT. A 1279$b27844$fFGBC 959 $aFGBC 996 $aZur rechtlichen Analyse der Parkplatzbenutzung$9636527 997 $aUNINA 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