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001 978-3-319-69188-6
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020 _a9783319691886
_9978-3-319-69188-6
024 7 _a10.1007/978-3-319-69188-6
_2doi
050 4 _aQA76.758
072 7 _aUMZ
_2bicssc
072 7 _aCOM051230
_2bisacsh
072 7 _aUMZ
_2thema
082 0 4 _a005.1
_223
100 1 _aMartin-Rodilla, Patricia.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_955235
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.
300 _aXXI, 320 p. 135 illus., 91 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aModeling and Optimization in Science and Technologies,
_x2196-7334 ;
_v11
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.
650 0 _aSoftware engineering.
_94138
650 0 _aArchaeology.
_955236
650 0 _aComputational intelligence.
_97716
650 0 _aSocial sciences.
_931911
650 0 _aHumanities.
_931912
650 1 4 _aSoftware Engineering.
_94138
650 2 4 _aArchaeology.
_955236
650 2 4 _aComputational Intelligence.
_97716
650 2 4 _aHumanities and Social Sciences.
_931913
710 2 _aSpringerLink (Online service)
_955237
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,
_x2196-7334 ;
_v11
_955238
856 4 0 _uhttps://doi.org/10.1007/978-3-319-69188-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79515
_d79515