Digging into Software Knowledge Generation in Cultural Heritage Mode
This book focuses on innovative strategies to manage and build software systems for generating new knowledge from large archaeological data setsThe book also reports on two case studies carried out in real-world scenarios within the Cultural Heritage sett
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Patricia Martin-Rodilla
Digging into Software Knowledge Generation in Cultural Heritage Modeling Assistance Strategies for Large Archaeological Data Sets
Modeling and Optimization in Science and Technologies Volume 11
Series editors Srikanta Patnaik, SOA University, Bhubaneswar, India e-mail: [email protected] Ishwar K. Sethi, Oakland University, Rochester, USA e-mail: [email protected] Xiaolong Li, Indiana State University, Terre Haute, USA e-mail: [email protected] Editorial Board Li Cheng, The Hong Kong Polytechnic University, Hong Kong Jeng-Haur Horng, National Formosa University, Yulin, Taiwan Pedro U. Lima, Institute for Systems and Robotics, Lisbon, Portugal Mun-Kew Leong, Institute of Systems Science, National University of Singapore Muhammad Nur, Diponegoro University, Semarang, Indonesia Luca Oneto, University of Genoa, Italy Kay Chen Tan, National University of Singapore, Singapore Sarma Yadavalli, University of Pretoria, South Africa Yeon-Mo Yang, Kumoh National Institute of Technology, Gumi, South Korea Liangchi Zhang, The University of New South Wales, Australia Baojiang Zhong, Soochow University, Suzhou, China Ahmed Zobaa, Brunel University, Uxbridge, Middlesex, UK
The book series Modeling and Optimization in Science and Technologies (MOST) publishes basic principles as well as novel theories and methods in the fast-evolving field of modeling and optimization. Topics of interest include, but are not limited to: methods for analysis, design and control of complex systems, networks and machines; methods for analysis, visualization and management of large data sets; use of supercomputers for modeling complex systems; digital signal processing; molecular modeling; and tools and software solutions for different scientific and technological purposes. Special emphasis is given to publications discussing novel theories and practical solutions that, by overcoming the limitations of traditional methods, may successfully address modern scientific challenges, thus promoting scientific and technological progress. The series publishes monographs, contributed volumes and conference proceedings, as well as advanced textbooks. The main targets of the series are graduate students, researchers and professionals working at the forefront of their fields.
More information about this series at http://www.springer.com/series/10577
Patricia Martin-Rodilla
Digging into Software Knowledge Generation in Cultural Heritage Modeling Assistance Strategies for Large Archaeological Data Sets
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Patricia Martin-Rodilla Institute of Heritage Sciences (Incipit) Spanish National Research Council (CSIC) Santiago de Compostela Spain
ISSN 2196-7326 ISSN 2196-7334 (electronic) Modeling and Optimization in Science and Technologies ISBN 978-3-319-69187-9 ISBN 978-3-319-69188-6 (eBook) https://doi.org/10.1007/978-3-319-69188-6 Library of Congress Control Number: 2017954875 © Springer International Publishing AG 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or par
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