Authors:
- Presents innovative strategies to manage and build software systems for generating new knowledge from large archeological data sets
- Shows how to structure archeological information produced in research as a conceptual model
- Walks the reader carefully through each data-based ideological decision
- Guides the readers step by step to the implementation of an information technology (IT) system dealing with their own archeological information
- Offers a practical guide on IT applications to an archeologist working on site
- Includes supplementary material: sn.pub/extras
Part of the book series: Modeling and Optimization in Science and Technologies (MOST, volume 11)
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Table of contents (14 chapters)
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Front Matter
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Understanding Software Engineering and Archaeology Co-research
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Front Matter
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Software Knowledge Generation Foundations
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Front Matter
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Software Assistance Strategies for Archaeological Data
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Front Matter
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Archaeological Applications in Practice
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Front Matter
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Final Considerations
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Front Matter
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About this book
This 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.
Keywords
Authors and Affiliations
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Institute of Heritage Sciences (Incipit), Spanish National Research Council (CSIC), Santiago de Compostela, Spain
Patricia Martin-Rodilla
Bibliographic Information
Book Title: Digging into Software Knowledge Generation in Cultural Heritage
Book Subtitle: Modeling Assistance Strategies for Large Archaeological Data Sets
Authors: Patricia Martin-Rodilla
Series Title: Modeling and Optimization in Science and Technologies
DOI: https://doi.org/10.1007/978-3-319-69188-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-69187-9Published: 23 October 2017
Softcover ISBN: 978-3-319-88726-5Published: 25 August 2018
eBook ISBN: 978-3-319-69188-6Published: 14 October 2017
Series ISSN: 2196-7326
Series E-ISSN: 2196-7334
Edition Number: 1
Number of Pages: XXI, 320
Number of Illustrations: 44 b/w illustrations, 91 illustrations in colour
Topics: Software Engineering, Archaeology, Computational Intelligence, Humanities and Social Sciences, multidisciplinary