000 | 03907nam a22006255i 4500 | ||
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001 | 978-3-540-45092-4 | ||
003 | DE-He213 | ||
005 | 20240423132437.0 | ||
007 | cr nn 008mamaa | ||
008 | 121227s2003 gw | s |||| 0|eng d | ||
020 |
_a9783540450924 _9978-3-540-45092-4 |
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024 | 7 |
_a10.1007/b11781 _2doi |
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050 | 4 | _aQA75.5-76.95 | |
072 | 7 |
_aUNH _2bicssc |
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072 | 7 |
_aUND _2bicssc |
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_aCOM030000 _2bisacsh |
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072 | 7 |
_aUNH _2thema |
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072 | 7 |
_aUND _2thema |
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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. |
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300 |
_aXIV, 170 p. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v2700 |
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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 |
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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 |