Integrated and interactive 4D system for archaeological stratigraphy

The digitization of some of the processes carried out in an archaeological excavation is changing the way of working at the site. Today, new technologies coexist with traditional methodologies. The study of stratigraphy can combine drawings of profiles and plans, the Harris Matrix diagram, as well as digitized files that perform a complete record of the stratigraphic sequence. However, this information is usually unaggregated from the rest of the information system that makes up the archaeological record. In this paper, we present an integrated software tool and the associated methodology to record, store, visualize and analyze the 3D stratigraphy of a site. The implementation uses spatial databases to store information of a heterogeneous nature and game engines for the visualization and interaction with this information. During the excavation process, the strata are scanned using the Tof technology, which is available in many smartphones. The resulting 3D model of the stratum, once uploaded to the software system, allows us to visualize the sequence of strata incorporating the findings into their original arrangement. Some additional tools, such as the scrollbar, help to perform a temporal analysis of the site. The result is a 4D interactive stratigraphy tool, which together with the Harris Matrix, complements the archaeological record and facilitates the work to archaeologists. This methodology also allows to speed up the on-site work and the subsequent analysis, while improving the user experience with the 3D archaeological site replica.CRUE-CSICSpringer NatureSpanish GovernmentEuropean Commission TIN2017-84968-

A Web GIS-based Integration of 3D Digital Models with Linked Open Data for Cultural Heritage Exploration

This PhD project explores how geospatial semantic web concepts, 3D web-based visualisation, digital interactive map, and cloud computing concepts could be integrated to enhance digital cultural heritage exploration; to offer long-term archiving and dissemination of 3D digital cultural heritage models; to better interlink heterogeneous and sparse cultural heritage data. The research findings were disseminated via four peer-reviewed journal articles and a conference article presented at GISTAM 2020 conference (which received the ‘Best Student Paper Award’)

Enhancing CIDOC-CRM Models for GeoSPARQL Processing with MapReduce

Spatial and temporal dimensions are two important characteristics of archaeological data and cultural heritage in general. The ability to perform some sort of reasoning on them is crucial during the analysis and interpretation process performed by domain experts. Many models have been defined in literature in order to properly describe such data and support the following interpretation process; among them, CIDOC CRM is a formal ontology specifically developed to represent cultural heritage information and many extensions have been proposed in recent years in order to enrich such model. In particular, CRMgeo tries to bring the gap between the cultural heritage domain and the geo-spatial domain, by providing a link towards GeoSPARQL and by defining the necessary constructs for the representation of spatial data types and relations. Unfortunately, the current support to the process of spatial functions through SPARQL query engine is still limited and many performance problems remain. The aim of this paper is twofold: (i) to evaluate the applicability of CRMgeo in representing spatial characteristics and relations of archaeological objects, and (2) to propose a MapReduce procedure able to efficiently derive spatial relations between objects, in order to automatically enhance an RDF model with them and avoid the performance issues derived from the use of GeoSPARQL query engine

THE ARCHAEOLOGY OF THE POSTINDUSTRIAL: SPATIAL DATA INFRASTRUCTURES FOR STUDYING THE PAST IN THE PRESENT

Postindustrial urban landscapes are large-scale, complex manifestations of the past in the present in the form of industrial ruins and archaeological sites, decaying infrastructure, and adaptive reuse; ongoing processes of postindustrial redevelopment often conspire to conceal the toxic consequences of long-term industrial activity. Understanding these phenomena is an essential step in building a sustainable future; despite this, the study of the postindustrial is still new, and requires interdisciplinary connections that remain either unexplored or underexplored. Archaeologists have begun to turn their attention to the modern industrial era and beyond. This focus carries the potential to deliver new understandings of the industrial and postindustrial city, yet archaeological attention to the postindustrial remains in its infancy. Developments in the ongoing digital revolution in archaeology and within the social sciences and humanities have the potential to contribute to the archaeological study of the postindustrial city. The development of historical GIS and historical spatial data infrastructures (HSDIs) using historical big data have enabled scholars to study the past over large spatial and temporal scales and support qualitative research, while retaining a high level of detail. This dissertation demonstrates how spatial technologies using big data approaches, especially the HSDI, enhance the archaeological study of postindustrial urban landscapes and ultimately contribute to meeting the “grand challenge” of integrating digital approaches into archaeology by coupling reflexive recording of archaeological knowledge production with globally accessible spatial digital data infrastructures. HSDIs show great potential for providing archaeologists working in postindustrial places with a means to curate and manipulate historical data on an industrial or urban scale, and to iteratively contextualize this longitudinal dataset with material culture and other forms of archaeological knowledge. I argue for the use of HSDIs as the basis for transdisciplinary research in postindustrial contexts, as a platform for linking research in the academy to urban decision

Formally defining the time-space-archaeological culture relation: problems and prospects

Locating archaeological cultures in time and space is a major challenge of archaeolog- ical research. Despite more than a century of scientific research in archaeology, a satisfactory solution has yet to be proposed. Past attempts to look into the problem focused on sharpening the definition of types of material culture artefacts, a more accurate chronological dating of such objects, various probabilistic methods or GIS solution for defining the time-space borders of archaeological cultures. However, the proposed approaches did not fully consider how the nature of archaeological cultures and their consequent dating and geographic positioning play a crucial role in assigning spatio-temporal borders. We propose to shift the operating logical paradigm in archaeology, from a crisp, Aristotelian-based logic, to fuzzy logic, in our opinion more suitable for reasoning in archaeology. We also introduce the rough sets theory to deal with chronological and geographic positioning of archaeological cultures. Both concepts have, in our opinion, substantial advantages over the traditional algebra and logic rules (implicitly) applied so far

Value, Authority and the Open Society. Some Implications for Digital and Online Archaeology

This paper argues that two major related trends -- the now substantial circulation of digital archaeological datasets and the increasing number of ways in which people engage with archaeology via online media -- should encourage us to reassess what value we and others wish to place on the past, how we share archaeological information and what kinds of archaeological communities we wish to promote. One useful approach to these questions is via social anthropological theory that addresses valuation, authority and the structuring of inter-personal relationships. Understanding the degree to which these features of social life are, or are not, transformed by new digital communication technologies also helps us to re-conceptualise archaeological communication with new priorities and opportunities in mind. This paper explores these ideas further via two case studies involving the sharing of spatial or spatio-temporal knowledge: (a) open data and open source software for spatial analysis, and (b) neogeography and geocaching

Documenting Spatial and Tempral Information for Heritage Preservation: A Case Study of Sri Lanka

Cultural Heritage Properties (CHPs) around the world have been altered or destroyed due to various unforeseen factors, both natural and human-made. Consequently, as a preparedness approach around such disasters, documenting the CHPs are crucial to any efforts to repair, rebuild or relocate them. With advancements in digital technologies, integrating them into our documentation to improve heritage preservation has become a common approach. Here the main concern is on Spatial and Temporal (ST) information and the paper proposes that with recent developments in the field of Geospatial technologies, heritage preservation can be enhanced and improved by documenting ST information parallel to the other information resources. The study area of this research is the CHPs in Sri Lanka. The paper investigates the present condition of the ST information in the heritage arena and the challenges associated with the same. Finally, the paper suggests a metadata standard to acquire primary level ST information as the initial ST documentation strategy. This can be extended further as a complete standard of good practice for CHP documentation in Sri Lanka.The 12th annual meeting of the Document Academy (DOCAM), 2015Days: 20-22 July, 2015Place: Sydney, AustraliaTheme: Documents Unbounde

Trying to break new ground in aerial archaeology

Aerial reconnaissance continues to be a vital tool for landscape-oriented archaeological research. Although a variety of remote sensing platforms operate within the earth’s atmosphere, the majority of aerial archaeological information is still derived from oblique photographs collected during observer-directed reconnaissance flights, a prospection approach which has dominated archaeological aerial survey for the past century. The resulting highly biased imagery is generally catalogued in sub-optimal (spatial) databases, if at all, after which a small selection of images is orthorectified and interpreted. For decades, this has been the standard approach. Although many innovations, including digital cameras, inertial units, photogrammetry and computer vision algorithms, geographic(al) information systems and computing power have emerged, their potential has not yet been fully exploited in order to re-invent and highly optimise this crucial branch of landscape archaeology. The authors argue that a fundamental change is needed to transform the way aerial archaeologists approach data acquisition and image processing. By addressing the very core concepts of geographically biased aerial archaeological photographs and proposing new imaging technologies, data handling methods and processing procedures, this paper gives a personal opinion on how the methodological components of aerial archaeology, and specifically aerial archaeological photography, should evolve during the next decade if developing a more reliable record of our past is to be our central aim. In this paper, a possible practical solution is illustrated by outlining a turnkey aerial prospection system for total coverage survey together with a semi-automated back-end pipeline that takes care of photograph correction and image enhancement as well as the management and interpretative mapping of the resulting data products. In this way, the proposed system addresses one of many bias issues in archaeological research: the bias we impart to the visual record as a result of selective coverage. While the total coverage approach outlined here may not altogether eliminate survey bias, it can vastly increase the amount of useful information captured during a single reconnaissance flight while mitigating the discriminating effects of observer-based, on-the-fly target selection. Furthermore, the information contained in this paper should make it clear that with current technology it is feasible to do so. This can radically alter the basis for aerial prospection and move landscape archaeology forward, beyond the inherently biased patterns that are currently created by airborne archaeological prospection