PetroAdvisor: A Volunteer-based Information System for Collecting and Rating Petroglyph Data

In this paper we exploit a volunteer-based information paradigm for archaeological aims. In particular, we present PetroAdvisor, a system supporting several fundamental activities to digitally preserve petroglyph sites. The system also uses a rewarding strategy in order to stimulate people participation to the project, so that those entering useful information gain free archaeological data, tips on excursions and tours, opinions and rating from previous tourists, and so forth. User provided information typically consists of petroglyph pictures, descriptions, and several useful metadata, such as geo-referenced information, petroglyph contours, and so forth, empowering the work of the archaeologists, and enabling them to tackle technology shortfalls.

[1]  Ruihong Huang.  A Schedule-based Pathfinding Algorithm for Transit Networks Using Pattern First Search , 2007, GeoInformatica.

[2]  M. Goodchild.  Citizens as sensors: the world of volunteered geography , 2007 .

[3]  Luca Paolino,et al.  Petroglyph Recognition Using Self-Organizing Maps and Fuzzy Visual Language Parsing , 2012, 2012 IEEE 24th International Conference on Tools with Artificial Intelligence.

[4]  Viviana Mascardi,et al.  A Holonic Multi-Agent System for Sketch, Image and Text Interpretation in the Rock Art Domain , 2014 .

[5]  Fabio Remondino,et al.  The MayaArch3D Project: A 3D GIS Web System for Querying Ancient Architecture and Landscapes , 2012, DH.

[6]  Viviana Mascardi,et al.  Investigative analysis across documents and drawings: visual analytics for archaeologists , 2012, AVI.

[7]  Paul S.C. Taçon,et al.  The Archaeology of Rock-Art , 1999 .

[8]  D. Whitley.  Handbook of rock art research , 2001 .

[9]  R. Kitchin,et al.  Crowdsourced Cartography: Mapping Experience and Knowledge , 2013 .

[10]  Nicole Beale,et al.  The potential of open models for public archaeology , 2012 .

[11]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993, Knowl. Acquis..

[12]  Kimberly C. Kowal,et al.  Online Georeferencing for Libraries: The British Library Implementation of Georeferencer for Spatial Metadata Enhancement and Public Engagement , 2012 .

[13]  Christian Breiteneder,et al.  Automated petroglyph image segmentation with interactive classifier fusion , 2012, ICVGIP '12.

[14]  Henry de Lumley,et al.  The rock carvings of the Chalcolithic and ancient Bronze age from the Mont Bego area. The cosmogonic myths of the early metallurgic settlers in the southern Alps , 2015 .

[15]  F. d’Errico,et al.  Emergence of Modern Human Behavior: Middle Stone Age Engravings from South Africa , 2002, Science.

[16]  Hermann Ney,et al.  Deformation Models for Image Recognition , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[17]  Francesco Ricci,et al.  Personalized Mobile City Transport Advisory System , 2009, ENTER.

[18]  Eamonn J. Keogh,et al.  An efficient and effective similarity measure to enable data mining of petroglyphs , 2010, Data Mining and Knowledge Discovery.

[19]  A. Roadmapof.  A Roadmap of Agent Research and Development , 1995 .

[20]  Alon Y. Halevy,et al.  Crowdsourcing systems on the World-Wide Web , 2011, Commun. ACM.