000 08196nam a2200889 i 4500
001 6812840
003 IEEE
005 20200413152900.0
006 m eo d
007 cr cn |||m|||a
008 110113s2011 caua foab 000 0 eng d
020 _a9781608455089 (electronic bk.)
020 _z9781608455072 (pbk.)
024 7 _a10.2200/S00320ED1V01Y201012ICR017
_2doi
035 _a(CaBNVSL)gtp00545635
035 _a(OCoLC)707877346
040 _aCaBNVSL
_cCaBNVSL
_dCaBNVSL
050 4 _aTK5105.884
_b.G747 2011
082 0 4 _a025.04
_222
100 1 _aGrefenstette, Gregory,
_d1956-
245 1 0 _aSearch-based applications
_h[electronic resource] :
_bat the confluence of search and database technologies /
_cGregory Grefenstette and Laura Wilber.
260 _aSan Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :
_bMorgan & Claypool,
_cc2011.
300 _a1 electronic text (xxvi, 115 p.) :
_bill., digital file.
490 1 _aSynthesis lectures on information concepts, retrieval, and services,
_x1947-9468 ;
_v# 17
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat Reader.
500 _aPart of: Synthesis digital library of engineering and computer science.
500 _aSeries from website.
504 _aIncludes bibliographical references (p. 109-114).
505 0 _a1. Search based applications -- Introduction -- What is a search based application -- High impact, low risk solution for businesses -- Fertile ground for interdisciplinary research -- A valuable tool for database administrators -- New opportunities for search specialists -- New flexibility for software developers -- Lecture roadmap --
505 0 _a2. Evolving business information access needs -- Changing times -- The need for high performance and scalability -- The need for unified access to global information -- The need for simple yet secure access --
505 0 _a3. Origins and histories -- Search engines -- Databases -- What has changed recently -- Search engines enter the enterprise -- Databases go online -- Structural and conceptual changes --
505 0 _a4. Data models & storage -- Search engines -- Conceptual data model -- Data storage -- Storage framework -- Databases -- Conceptual data model -- Data storage -- Storage framework -- What has changed recently -- Search engines -- Databases --
505 0 _a5. Data collection/population -- Search engines -- Collection -- Updating -- Databases -- Creation/collection -- Updating -- What has changed -- Search engines -- Databases --
505 0 _a6. Data processing -- Search engines -- Natural language processing -- Relevancy criteria -- Databases -- What has changed -- Search engines -- Databases --
505 0 _a7. Data retrieval -- Search engines -- Querying -- Output -- Databases -- Querying -- Output -- What's changed -- Search engines -- Databases --
505 0 _a8. Data security,usability, performance, cost -- Search engines -- Databases -- What has changed -- Search engines --
505 0 _a9. Summary evolutions and convergences -- SBA-enabling search engine evolutions -- Data model -- Data storage -- Data collection -- Data processing -- Data retrieval & output -- Data security, usability, performance, cost -- Convergence --
505 0 _a10. SBA platforms -- What is an SBA platform -- Information access platforms -- SBA platforms: market leaders -- SBA platforms: other vendors -- SBA vendors: COTS applications --
505 0 _a11. SBA uses & preconditions -- When are SBAs used -- How are SBAs used --
505 0 _a12. Anatomy of a search based application -- SBAs for structured data -- Data collection -- Data processing -- Data updates -- Data retrieval & analysis -- SBAs for unstructured content -- Data collection -- Data processing -- Data updates -- Data retrieval & analysis -- SBAs for hybrid content --
505 0 _a13. Case study: GEFCO -- Background -- A track & trace solution -- Existing drawbacks -- Opting for a search based application -- First prototypes -- Deployment -- Future --
505 0 _a14. Case study: Urbanizer -- Background -- The urbanizer solution -- How urbanizer works -- What's next --
505 0 _a15. Case study: National Postal Agency -- Customer service SBA -- Background -- Deployment -- Operational Business Intelligence (OBI) SBA -- Background -- Deployment -- Sales information SBA for telemarketing -- Background -- Deployment --
505 0 _a16. Future directions -- The influence of the deep web -- Surfacing structured data -- Opening access to multimedia content -- The influence of the semantic web -- The influence of the mobile web -- Mission-based IR -- Innovation in visualization -- And continuing database/search convergence --
505 0 _aBibliography -- Authors' biographies.
506 1 _aAbstract freely available; full-text restricted to subscribers or individual document purchasers.
510 0 _aCompendex
510 0 _aINSPEC
510 0 _aGoogle scholar
510 0 _aGoogle book search
520 3 _aWe are poised at a major turning point in the history of information management via computers. Recent evolutions in computing, communications, and commerce are fundamentally reshaping the ways in which we humans interact with information, and generating enormous volumes of electronic data along the way. As a result of these forces, what will data management technologies, and their supporting software and system architectures, look like in ten years? It is difficult to say, but we can see the future taking shape now in a new generation of information access platforms that combine strategies and structures of two familiar - and previously quite distinct - technologies, search engines and databases, and in a new model for software applications, the Search-Based Application (SBA), which offers a pragmatic way to solve both well-known and emerging information management challenges as of now. Search engines are the world's most familiar and widely deployed information access tool, used by hundreds of millions of people every day to locate information on the Web, but few are aware they can now also be used to provide precise, multidimensional information access and analysis that is hard to distinguish from current database applications, yet endowed with the usability and massive scalability of Web search. In this book, we hope to introduce Search Based Applications to a wider audience, using real case studies to show how this flexible technology can be used to intelligently aggregate large volumes of unstructured data (like Web pages) and structured data (like database content), and to make that data available in a highly contextual, quasi real-time manner to a wide base of users for a varied range of purposes.We also hope to shed light on the general convergences underway in search and database disciplines, convergences that make SBAs possible, and which serve as harbingers of information management paradigms and technologies to come.
530 _aAlso available in print.
588 _aTitle from PDF t.p. (viewed on January 13, 2011).
650 0 _aSearch engines.
650 0 _aInternet searching.
650 0 _aDatabase searching.
650 0 _aNatural language processing (Computer science)
653 _aSearch-based applications
653 _aSearch engines
653 _aSemantic technologies
653 _aNatural language processing
653 _aHuman-computer information retrieval
653 _aData retrieval
653 _aOnline analytical processing
653 _aOLAP
653 _aData integration
653 _aAlternative data access platforms
653 _aUnified information access
653 _aNoSQL
653 _aMash-up technologies
700 1 _aWilber, Laura.
776 0 8 _iPrint version:
_z9781608455072
830 0 _aSynthesis digital library of engineering and computer science.
830 0 _aSynthesis lectures on information concepts, retrieval, and services,
_x1947-9468 ;
_v# 17.
856 4 2 _3Abstract with links to resource
_uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=6812840
999 _c561807
_d561807