LEADER 04697nam 22007695 450 001 9910767539203321 005 20200630025217.0 010 $a3-540-45092-0 024 7 $a10.1007/b11781 035 $a(CKB)1000000000212051 035 $a(SSID)ssj0000392776 035 $a(PQKBManifestationID)11259166 035 $a(PQKBTitleCode)TC0000392776 035 $a(PQKBWorkID)10361386 035 $a(PQKB)10455401 035 $a(DE-He213)978-3-540-45092-4 035 $a(MiAaPQ)EBC3087693 035 $a(PPN)15520971X 035 $a(EXLCZ)991000000000212051 100 $a20121227d2003 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aInformation Extraction in the Web Era $eNatural Language Communication for Knowledge Acquisition and Intelligent Information Agents /$fedited by Maria Teresa Pazienza 205 $a1st ed. 2003. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2003. 215 $a1 online resource (XIV, 170 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v2700 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-40579-8 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aInformation Extraction in the Web Era -- Acquisition of Domain Knowledge -- Terminology Mining -- Measuring Term Representativeness -- Finite-State Approaches to Web Information Extraction -- Agents Based Ontological Mediation in IE Systems -- On the Role of Information Retrieval and Information Extraction in Question Answering Systems -- Natural Language Communication with Virtual Actors. 330 $aThe number of research topics covered in recent approaches to Information - traction (IE) is continually growing as new facts are being considered. In fact, while the user?s interest in extracting information from texts deals mainly with the success of the entire process of locating, in document collections, facts of interest, the process itself is dependent on several constraints (e.g. the domain, the collection dimension and location, and the document type) and currently it tackles composite scenarios, including free texts, semi- and structured texts such as Web pages, e-mails, etc. The handling of all these factors is tightly related to the continued evolution of the underlying technologies. In the last few years, in real-world applications we have seen the need for scalable, adaptable IE systems (see M.T.Pazienza, ?InformationExtraction: Towards Scalable Adaptable Systems?, LNAI 1714) to limit the need for human intervention in the customization process and portability of the IE application to new domains. Scalability and adaptability requirements are still valid impacting features and get more relevance into a Web scenario, where in intelligent information agents are expected to automatically gather information from heterogeneous sources. 410 0$aLecture Notes in Artificial Intelligence ;$v2700 606 $aInformation storage and retrieval 606 $aDatabase management 606 $aApplication software 606 $aArtificial intelligence 606 $aInformation technology 606 $aBusiness?Data processing 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aIT in Business$3https://scigraph.springernature.com/ontologies/product-market-codes/522000 615 0$aInformation storage and retrieval. 615 0$aDatabase management. 615 0$aApplication software. 615 0$aArtificial intelligence. 615 0$aInformation technology. 615 0$aBusiness?Data processing. 615 14$aInformation Storage and Retrieval. 615 24$aDatabase Management. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aArtificial Intelligence. 615 24$aIT in Business. 676 $a006.35 702 $aPazienza$b Maria Teresa$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910767539203321 996 $aInformation Extraction in the Web Era$92018025 997 $aUNINA