The Computational Research on the Ancient near East (CRANE) Project: An Archaeological Data Integration, Simulation and Data Mining

Stephen Batiuk, Tim Harrison, Lynn Welton, Darren Joblonkay, Lemonia Ragia

2017

Abstract

Archaeology has emerged as one of the most dynamic and innovative disciplines in the humanities and social sciences, employing a truly interdisciplinary, collaborative approach and a continually expanding array of analytical research tools. Computer aided analysis of archaeological data is remarkably challenging given the heterogeneous nature of the material. Archaeologists generally aim to discover patterns, spatial relationships and other associations between different traits of the archaeological record. However, given the idiosyncratic and highly personal nature in which archaeological data is collected and analyzed, identifying these patterns and relationships offers many challenges. The Computational Research on the Ancient Near East (CRANE) initiative seeks to build an international multidisciplinary research collaboration, comprised of archaeologists, computer scientists, and paleo-environmental specialists, with the capacity to leverage a burgeoning corpus of data from a number of archaeological sites and fundamentally transform our knowledge of the civilizations of the ancient Middle East. The CRANE initiative is developing a sustainable, scalable, user-driven vehicle for large-scale data management and cross-project data integration, to harness the full evidentiary range produced by this uniquely rich cultural legacy. At the same time we are developing tools for data mining techniques, and to analyze simulate ancient societies using agent-based models of behavior.

Paper Citation

in Harvard Style

Batiuk S., Harrison T., Welton L., Joblonkay D. and Ragia L. (2017). The Computational Research on the Ancient near East (CRANE) Project: An Archaeological Data Integration, Simulation and Data Mining . In Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-252-3, pages 153-160. DOI: 10.5220/0006213401530160

in Bibtex Style

@conference{gistam17,
author={Stephen Batiuk and Tim Harrison and Lynn Welton and Darren Joblonkay and Lemonia Ragia},
title={The Computational Research on the Ancient near East (CRANE) Project: An Archaeological Data Integration, Simulation and Data Mining},
booktitle={Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2017},
pages={153-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006213401530160},
isbn={978-989-758-252-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - The Computational Research on the Ancient near East (CRANE) Project: An Archaeological Data Integration, Simulation and Data Mining
SN - 978-989-758-252-3
AU - Batiuk S.
AU - Harrison T.
AU - Welton L.
AU - Joblonkay D.
AU - Ragia L.
PY - 2017
SP - 153
EP - 160
DO - 10.5220/0006213401530160