LEADER 04149nam 22006974a 450 001 9910454795403321 005 20200520144314.0 010 $a1-280-20613-6 010 $a9786610206131 010 $a0-306-47031-4 024 7 $a10.1007/b116174 035 $a(CKB)111056486607698 035 $a(EBL)3035642 035 $a(SSID)ssj0000179124 035 $a(PQKBManifestationID)11182191 035 $a(PQKBTitleCode)TC0000179124 035 $a(PQKBWorkID)10230349 035 $a(PQKB)10413128 035 $a(DE-He213)978-0-306-47031-8 035 $a(MiAaPQ)EBC3035642 035 $a(MiAaPQ)EBC196964 035 $a(Au-PeEL)EBL3035642 035 $a(CaPaEBR)ebr10052649 035 $a(CaONFJC)MIL20613 035 $a(OCoLC)923696174 035 $a(Au-PeEL)EBL196964 035 $a(OCoLC)559401112 035 $a(EXLCZ)99111056486607698 100 $a20000616d2000 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aInformation storage and retrieval systems$b[electronic resource] $etheory and implementation /$fby Gerald Kowalski, Mark T. Maybury 205 $a2nd ed. 210 $aBoston, MA $cKluwer Academic$dc2000 215 $a1 online resource (333 p.) 225 1 $aKluwer international series on information retrieval ;$v8 300 $aRev. ed. of: Information retrieval systems. c1997. 311 $a0-7923-7924-1 320 $aIncludes bibliographical references and index. 327 $aIntroduction to Information Retrieval Systems -- Information Retrieval System Capabilities -- Cataloging and Indexing -- Data Structure -- Automatic Indexing -- Document and Term Clustering -- User Search Techniques -- Information Visualization -- Text Search Algorithms -- Multimedia Information Retrieval -- Information System Evaluation. 330 $aChapter 1 places into perspective a total Information Storage and Retrieval System. This perspective introduces new challenges to the problems that need to be theoretically addressed and commercially implemented. Ten years ago commercial implementation of the algorithms being developed was not realistic, allowing theoreticians to limit their focus to very specific areas. Bounding a problem is still essential in deriving theoretical results. But the commercialization and insertion of this technology into systems like the Internet that are widely being used changes the way problems are bounded. From a theoretical perspective, efficient scalability of algorithms to systems with gigabytes and terabytes of data, operating with minimal user search statement information, and making maximum use of all functional aspects of an information system need to be considered. The dissemination systems using persistent indexes or mail files to modify ranking algorithms and combining the search of structured information fields and free text into a consolidated weighted output are examples of potential new areas of investigation. The best way for the theoretician or the commercial developer to understand the importance of problems to be solved is to place them in the context of a total vision of a complete system. Understanding the differences between Digital Libraries and Information Retrieval Systems will add an additional dimension to the potential future development of systems. The collaborative aspects of digital libraries can be viewed as a new source of information that dynamically could interact with information retrieval techniques. 410 0$aKluwer international series on information retrieval ;$v8. 606 $aDatabase management 606 $aInformation retrieval 608 $aElectronic books. 615 0$aDatabase management. 615 0$aInformation retrieval. 676 $a005.74/068 700 $aKowalski$b Gerald$f1945-$0846053 701 $aMaybury$b Mark T$0535742 701 $aKowalski$b Gerald$f1945-$0846053 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910454795403321 996 $aInformation storage and retrieval systems$91889958 997 $aUNINA