Digging into Software Knowledge Generation in Cultural Heritage

Modeling Assistance Strategies for Large Archaeological Data Sets

  • Patricia Martin-Rodilla

Part of the Modeling and Optimization in Science and Technologies book series (MOST, volume 11)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Understanding Software Engineering and Archaeology Co-research

    1. Front Matter
      Pages 1-1
    2. Patricia Martin-Rodilla
      Pages 3-8
    3. Patricia Martin-Rodilla
      Pages 9-12
  3. Software Knowledge Generation Foundations

    1. Front Matter
      Pages 13-13
    2. Patricia Martin-Rodilla
      Pages 15-31
    3. Patricia Martin-Rodilla
      Pages 33-67
    4. Patricia Martin-Rodilla
      Pages 69-106
  4. Software Assistance Strategies for Archaeological Data

    1. Front Matter
      Pages 107-107
    2. Patricia Martin-Rodilla
      Pages 109-111
    3. Patricia Martin-Rodilla
      Pages 113-122
    4. Patricia Martin-Rodilla
      Pages 123-125
    5. Patricia Martin-Rodilla
      Pages 127-169
  5. Archaeological Applications in Practice

    1. Front Matter
      Pages 183-183
    2. Patricia Martin-Rodilla
      Pages 185-214
    3. Patricia Martin-Rodilla
      Pages 215-289
  6. Final Considerations

    1. Front Matter
      Pages 291-291
    2. Patricia Martin-Rodilla
      Pages 293-299
    3. Patricia Martin-Rodilla
      Pages 301-306
  7. Back Matter
    Pages 307-320

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.


Digital Humanities Digital Archaeology Information Modeling Archaeological Knowledge Generation Archaeological Data Representation Discourse Analysis Textual Methodologies Cognitive Aspects in Archaeology Hierarchical Decision Support Models ISO/IEC 24744 Modeling Language for Discourse Analysis

Authors and affiliations

  • Patricia Martin-Rodilla
    • 1
  1. 1.Institute of Heritage Sciences (Incipit)Spanish National Research Council (CSIC)Santiago de CompostelaSpain

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-69187-9
  • Online ISBN 978-3-319-69188-6
  • Series Print ISSN 2196-7326
  • Series Online ISSN 2196-7334
  • Buy this book on publisher's site
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