An Interoperable Spatio-Temporal Model for Archaeological Data Based on ISO Standard 19100

Archaeological data are characterized by both spatial and temporal dimensions that are often related to each other and are of particular interest during the interpretation process. For this reason, several attempts have been performed in recent years to develop a geographical information system (GIS) tailored for archaeological data. However, despite the increasing use of information technologies in the archaeological domain, the actual situation is that any agency or research group independently develops its own local database and management application that is isolated from the others. Conversely, the sharing of information and the cooperation between different archaeological agencies or research groups can be particularly useful to support the interpretation process by using data discovered in similar situations with respect to spatio-temporal or thematic aspects. In the geographical domain, the INSPIRE initiative of the European Union tries to support the development of a spatial data infrastructure (SDI) through which several organizations, such as public bodies or private companies, with overlapping goals can share data, resources, tools, and competencies in an effective way. The aim of this article is to lay the basis for the development of an archaeological SDI starting from the experience acquired during the collaboration among several Italian organizations. In particular, the article proposes a spatio-temporal conceptual model for archaeological data based on the ISO Standards of the 19100 family and promotes the use of the GeoUML methodology to put into practice such interoperability. The GeoUML methodology and tools have been enhanced to suit the archaeological domain and to automatically produce several useful documents, configuration files, and code base starting from the conceptual specification. The applicability of the spatio-temporal conceptual model and the usefulness of the produced tools have been tested in three different Italian contexts: Rome, Verona, and Isola della Scala.

[1]  Alberto Belussi,et al.  A Framework for Managing Temporal Dimensions in Archaeological Data , 2014, 2014 21st International Symposium on Temporal Representation and Reasoning.

[2]  Herman Akdag,et al.  Through a Fuzzy Spatiotemporal Information System for Handling Excavation Data , 2012, AGILE Conf..

[3]  Alberto Belussi,et al.  A spatio-temporal framework for managing archeological data , 2017, Annals of Mathematics and Artificial Intelligence.

[4]  Kieron Niven,et al.  Preserving Our Digital Heritage: Information Systems for Data Management and Preservation , 2013, Visual Heritage in the Digital Age.

[5]  Eliseo Clementini,et al.  A Small Set of Formal Topological Relationships Suitable for End-User Interaction , 1993, SSD.

[6]  Philippe De Maeyer,et al.  Bridging Archaeology and GIS: Influencing Factors for a 4D Archaeological GIS , 2014, EuroMed.

[7]  P. D. Felice,et al.  A comparison of methods for representing topological relationships , 1995 .

[8]  Nico Van de Weghe,et al.  The temporal dimension in a 4D archaeological data model : applicability of the geoinformation standard , 2013 .

[9]  Philippe De Maeyer,et al.  Information flows as bases for archeology‐specific geodata infrastructures: An exploratory study in flanders , 2016, J. Assoc. Inf. Sci. Technol..

[10]  Alberto Belussi,et al.  Design of the Data Transformation Architecture for the INSPIRE Data Model Browser , 2014, GIScience 2014.

[11]  James F. Allen Maintaining knowledge about temporal intervals , 1983, CACM.

[12]  A. Belussi,et al.  Managing Time Dimension in the Archaeological Urban Information System of the Historical Heritage of Roma and Verona , 2014 .

[13]  Philippe De Maeyer,et al.  The Temporal Dimension in a 4D Archaeological Data Model: Applicability of the Geoinformation Standard , 2014 .

[14]  Brian Ballsun-Stanton,et al.  Building the bazaar: Enhancing archaeological field recording through an open source approach , 2015 .

[15]  Juan Barceló,et al.  Computational Intelligence in Archaeology , 2008 .

[16]  Mark Gillings,et al.  Spatial Technology and Archaeology: The Archaeological Applications of GIS , 2002 .

[17]  Cyril de Runz,et al.  Imperfect Spatiotemporal Information Analysis in a GIS: Application to Archæological Information Completion Hypothesis , 2010, Methods for Handling Imperfect Spatial Information.

[18]  Markos Katsianis,et al.  A 3D digital workflow for archaeological intra-site research using GIS , 2008 .

[19]  Mateo Frassine,et al.  RAPTOR: archeologia e tutela: verso la pubblica amministrazione digitale , 2012 .

[20]  P. Moscati,et al.  TOWARDS AN ARCHAEOLOGICAL INFORMATION SYSTEM : IMPROVING THE CORE DATA MODEL , 2015 .

[21]  Alberto Belussi,et al.  SITAVR PROJECT - AN ARCHAEOLOGICAL CHARTER FOR VERONA , 2015 .

[22]  MiglioriniSara,et al.  An Interoperable Spatio-Temporal Model for Archaeological Data Based on ISO Standard 19100 , 2017 .

[23]  Alberto Belussi,et al.  Towards the creation of an Archaeological Urban Information System: Data Modeling of the Historical Heritage of Verona , 2013 .

[24]  Robert Shaw,et al.  Developing a Spatial Data Infrastructure for Archaeological and Built Heritage , 2012, Int. J. Spatial Data Infrastructures Res..

[25]  Mark Gahegan,et al.  Cybertools and Archaeology , 2006, Science.

[26]  R. Billen,et al.  Towards an Archaeological Information System: improving the core data model , 2014 .

[27]  Giuseppe Pelagatti,et al.  From the conceptual design of spatial constraints to their implementation in real systems , 2009, GIS.

[28]  MAX J. EGENHOFER,et al.  Point Set Topological Relations , 1991, Int. J. Geogr. Inf. Sci..

[29]  M. Egenhofer,et al.  Point-Set Topological Spatial Relations , 2001 .

[30]  Eliseo Clementini,et al.  A Model for Representing Topological Relationships between Complex Geometric Features in Spatial Databases , 1996, Inf. Sci..

[31]  Giuseppe Pelagatti,et al.  An ISO TC 211 Conformant Approach to Model Spatial Integrity Constraints in the Conceptual Design of Geographical Databases , 2006, ER.