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008 171014s2018 gw | s |||| 0|eng d
020 _a9783319691886
024 7 _a10.1007/978-3-319-69188-6
_2doi
040 _aES-MaUEC
_bspa
050 4 _aCC80.4
_bM378 2018 EB
100 1 _aMartin-Rodilla, Patricia
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_0http://id.loc.gov/authorities/names/no2018106414
_1http://viaf.org/viaf/10153470810045080505/
245 1 0 _aDigging into Software Knowledge Generation in Cultural Heritage
_bModeling Assistance Strategies for Large Archaeological Data Sets
_cby Patricia Martin-Rodilla.
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XXI, 320 páginas 135 ilustraciones, 91 ilustraciones a color)
347 _atext file
_bPDF
490 0 _aModeling and Optimization in Science and Technologies
_x2196-7326
_v11
520 3 _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 7 _aArqueología
_xProceso de datos
_9666617
_2embne
776 0 8 _iEdición impresa:
_z9783319691879
776 0 8 _iEdición impresa:
_z9783319691893
776 0 8 _iEdición impresa:
_z9783319887265
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-69188-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490 0 _aEngineering (Springer-11647)
988 _aEBSPRINGER_2018
998 _b02/2019
_dz
_ek
_feng
_ggw
_h0
999 _c102871
_d102871
_x1