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035   $a(DE-He213)978-3-319-69188-6
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100   $a20171014d2018      u|         0
101 0 $aeng
135   $aurnn|008mamaa
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182   $cc$2rdamedia
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200 10$aDigging into Software Knowledge Generation in Cultural Heritage $eModeling Assistance Strategies for Large Archaeological Data Sets /$fby Patricia Martin-Rodilla
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (XXI, 320 p. 135 illus., 91 illus. in color.) 
225 1 $aModeling and Optimization in Science and Technologies,$x2196-7326 ;$v11
311   $a3-319-69187-2 
320   $aIncludes bibliographical references at the end of each chapters.
330   $aThis book focuses on innovative strategies to manage and build software systems for generating new knowledge from large archaeological data sets The book also reports on two case studies carried out in real-world scenarios within the Cultural Heritage setting. The book presents an original conceptual framework for developing software solutions to assist the knowledge generation process in connection with large archaeological data sets and related cultural heritage information? a context in which the inputs are mainly textual sources written in freestyle, i.e. without a predetermined, standard structure. Following an in-depth exploration of recent works on the knowledge generation process in the above-mentioned context and IT-based options for facilitating it, the book proposes specific new techniques capable of capturing the structure and semantics implicit in such textual sources, and argues for using this information in the knowledge generation process. The main result is the development of a conceptual framework that can accommodate textual sources and integrate the information included in them into a software engineering framework. The said framework is meant to assist cultural heritage professionals in general, and archaeologists in particular, in both knowledge extraction and the subsequent decision-making process.
410  0$aModeling and Optimization in Science and Technologies,$x2196-7326 ;$v11
606   $aSoftware engineering
606   $aArchaeology
606   $aComputational intelligence
606   $aSoftware Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I14029
606   $aArchaeology$3https://scigraph.springernature.com/ontologies/product-market-codes/X13000
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aHumanities and Social Sciences, multidisciplinary$3https://scigraph.springernature.com/ontologies/product-market-codes/A14000
615  0$aSoftware engineering.
615  0$aArchaeology.
615  0$aComputational intelligence.
615 14$aSoftware Engineering.
615 24$aArchaeology.
615 24$aComputational Intelligence.
615 24$aHumanities and Social Sciences, multidisciplinary.
676   $a930.10285
700   $aMartin-Rodilla$b Patricia$4aut$4http://id.loc.gov/vocabulary/relators/aut$01060651
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299870603321
996   $aDigging into Software Knowledge Generation in Cultural Heritage$92514764
997   $aUNINA