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020 _a9783540450924
_9978-3-540-45092-4
024 7 _a10.1007/b11781
_2doi
050 4 _aQA75.5-76.95
072 7 _aUNH
_2bicssc
072 7 _aUND
_2bicssc
072 7 _aCOM030000
_2bisacsh
072 7 _aUNH
_2thema
072 7 _aUND
_2thema
082 0 4 _a025.04
_223
245 1 0 _aInformation Extraction in the Web Era
_h[electronic resource] :
_bNatural Language Communication for Knowledge Acquisition and Intelligent Information Agents /
_cedited by Maria Teresa Pazienza.
250 _a1st ed. 2003.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2003.
300 _aXIV, 170 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v2700
505 0 _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.
520 _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.
650 0 _aInformation storage and retrieval systems.
650 0 _aDatabase management.
650 0 _aApplication software.
650 0 _aArtificial intelligence.
650 0 _aBusiness information services.
650 1 4 _aInformation Storage and Retrieval.
650 2 4 _aDatabase Management.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aArtificial Intelligence.
650 2 4 _aIT in Business.
700 1 _aPazienza, Maria Teresa.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540405795
776 0 8 _iPrinted edition:
_z9783662180259
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v2700
856 4 0 _uhttps://doi.org/10.1007/b11781
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
912 _aZDB-2-BAE
942 _cSPRINGER
999 _c187806
_d187806