LEADER 05380 am 22007213u 450 001 9910299349103321 005 20230125181429.0 010 $a3-319-93935-1 024 7 $a10.1007/978-3-319-93935-3 035 $a(CKB)4100000006999333 035 $a(DE-He213)978-3-319-93935-3 035 $a(MiAaPQ)EBC6422600 035 $a(Au-PeEL)EBL6422600 035 $a(OCoLC)1231606822 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/33824 035 $a(PPN)231461275 035 $a(EXLCZ)994100000006999333 100 $a20181002d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEntity-Oriented Search$b[electronic resource] /$fby Krisztian Balog 205 $a1st ed. 2018. 210 $aCham$cSpringer Nature$d2018 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XIX, 351 p. 86 illus., 13 illus. in color.) 225 1 $aThe Information Retrieval Series,$x1871-7500 ;$v39 311 $a3-319-93933-5 327 $a1 Introduction -- 2 Meet the Data -- 3 Term-Based Models for Entity Ranking -- 4 Semantically Enriched Models for Entity Ranking -- 5 Entity Linking -- 6 Populating Knowledge Bases -- 7 Understanding Information Needs -- 8 Leveraging Entities in Document Retrieval -- 9 Utilizing Entities for an Enhanced Search Experience -- 10 Conclusions and Future Directions. 330 $aThis open access book covers all facets of entity-oriented search?where ?search? can be interpreted in the broadest sense of information access?from a unified point of view, and provides a coherent and comprehensive overview of the state of the art. It represents the first synthesis of research in this broad and rapidly developing area. Selected topics are discussed in-depth, the goal being to establish fundamental techniques and methods as a basis for future research and development. Additional topics are treated at a survey level only, containing numerous pointers to the relevant literature. A roadmap for future research, based on open issues and challenges identified along the way, rounds out the book. The book is divided into three main parts, sandwiched between introductory and concluding chapters. The first two chapters introduce readers to the basic concepts, provide an overview of entity-oriented search tasks, and present the various types and sources of data that will be used throughout the book. Part I deals with the core task of entity ranking: given a textual query, possibly enriched with additional elements or structural hints, return a ranked list of entities. This core task is examined in a number of different variants, using both structured and unstructured data collections, and numerous query formulations. In turn, Part II is devoted to the role of entities in bridging unstructured and structured data. Part III explores how entities can enable search engines to understand the concepts, meaning, and intent behind the query that the user enters into the search box, and how they can provide rich and focused responses (as opposed to merely a list of documents)?a process known as semantic search. The final chapter concludes the book by discussing the limitations of current approaches, and suggesting directions for future research. Researchers and graduate students are the primary target audience of this book. A general background in information retrieval is sufficient to follow the material, including an understanding of basic probability and statistics concepts as well as a basic knowledge of machine learning concepts and supervised learning algorithms. 410 0$aThe Information Retrieval Series,$x1871-7500 ;$v39 606 $aInformation storage and retrieval 606 $aArtificial intelligence 606 $aMathematical statistics 606 $aApplication software 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 610 $aComputer science 610 $aInformation storage and retrieval 610 $aArtificial intelligence 610 $aMathematical statistics 610 $aApplication software 615 0$aInformation storage and retrieval. 615 0$aArtificial intelligence. 615 0$aMathematical statistics. 615 0$aApplication software. 615 14$aInformation Storage and Retrieval. 615 24$aArtificial Intelligence. 615 24$aProbability and Statistics in Computer Science. 615 24$aInformation Systems Applications (incl. Internet). 676 $a025.04 700 $aBalog$b Krisztian$4aut$4http://id.loc.gov/vocabulary/relators/aut$0957718 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299349103321 996 $aEntity-Oriented Search$92169557 997 $aUNINA LEADER 00998nam a2200277 i 4500 001 991001602049707536 008 060428s2002 gw b 000 0 eng d 020 $a3540664653 (hardcover : alk. paper) 035 $ab13397862-39ule_inst 040 $aDip.to Fisica$beng 082 0 $a523.0197223$221 084 $aLC QC485 084 $a52.9.4 100 1 $aSchlickeiser, Reinhard$067486 245 10$aCosmic ray astrophysics /$cReinhard Schlickeiser 260 $aBerlin :$aLondon :$bSpringer,$cc2002 300 $axv, 519 p. :$bill. ;$c24 cm 440 0$aAstronomy and astrophysics library,$x0941-7834 504 $aIncludes bibliographical references 650 0$aCosmic rays 907 $a.b13397862$b21-09-06$c28-04-06 912 $a991001602049707536 945 $aLE006 52.9.4 SCH$g1$i2006000157261$lle006$op$pE74.95$q-$rl$s- $t0$u7$v0$w7$x0$y.i14227642$z28-04-06 996 $aCosmic ray astrophysics$9376929 997 $aUNISALENTO 998 $ale006$b28-04-06$cm$da $e-$feng$ggw $h0$i0