000 | 03866nam a22005655i 4500 | ||
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001 | 978-3-319-69188-6 | ||
003 | DE-He213 | ||
005 | 20210201191506.0 | ||
007 | cr nn 008mamaa | ||
008 | 171014s2018 gw | s |||| 0|eng d | ||
020 |
_a9783319691886 _9978-3-319-69188-6 |
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050 | 4 | _aQA76.758 | |
072 | 7 |
_aUMZ _2bicssc |
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072 | 7 |
_aCOM051230 _2bisacsh |
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_aUMZ _2thema |
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_a005.1 _223 |
100 | 1 |
_aMartin-Rodilla, Patricia. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aDigging into Software Knowledge Generation in Cultural Heritage _h[electronic resource] : _bModeling Assistance Strategies for Large Archaeological Data Sets / _cby Patricia Martin-Rodilla. |
250 | _a1st ed. 2018. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
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300 |
_aXXI, 320 p. 135 illus., 91 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aModeling and Optimization in Science and Technologies, _x2196-7326 ; _v11 |
|
500 | _aAcceso multiusuario | ||
520 | _aThis book focuses on innovative strategies to manage and build software systems for generating new knowledge from large archaeological data sets The book also reports on two case studies carried out in real-world scenarios within the Cultural Heritage setting. The book presents an original conceptual framework for developing software solutions to assist the knowledge generation process in connection with large archaeological data sets and related cultural heritage information- a context in which the inputs are mainly textual sources written in freestyle, i.e. without a predetermined, standard structure. Following an in-depth exploration of recent works on the knowledge generation process in the above-mentioned context and IT-based options for facilitating it, the book proposes specific new techniques capable of capturing the structure and semantics implicit in such textual sources, and argues for using this information in the knowledge generation process. The main result is the development of a conceptual framework that can accommodate textual sources and integrate the information included in them into a software engineering framework. The said framework is meant to assist cultural heritage professionals in general, and archaeologists in particular, in both knowledge extraction and the subsequent decision-making process. | ||
541 |
_fUABC ; _cTemporal ; _d01/01/2021-12/31/2023. |
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650 | 0 | _aSoftware engineering. | |
650 | 0 | _aArchaeology. | |
650 | 0 | _aComputational intelligence. | |
650 | 1 | 4 |
_aSoftware Engineering. _0https://scigraph.springernature.com/ontologies/product-market-codes/I14029 |
650 | 2 | 4 |
_aArchaeology. _0https://scigraph.springernature.com/ontologies/product-market-codes/X13000 |
650 | 2 | 4 |
_aComputational Intelligence. _0https://scigraph.springernature.com/ontologies/product-market-codes/T11014 |
650 | 2 | 4 |
_aHumanities and Social Sciences, multidisciplinary. _0https://scigraph.springernature.com/ontologies/product-market-codes/A14000 |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319691879 |
776 | 0 | 8 |
_iPrinted edition: _z9783319691893 |
776 | 0 | 8 |
_iPrinted edition: _z9783319887265 |
830 | 0 |
_aModeling and Optimization in Science and Technologies, _x2196-7326 ; _v11 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-69188-6 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cLIBRO_ELEC | ||
999 |
_c244088 _d244087 |