Proceedings ArticleDOI
Investigative analysis across documents and drawings: visual analytics for archaeologists
Vincenzo Deufemia,Luca Paolino,Genoveffa Tortora,Antonella Traverso,Viviana Mascardi,Massimo Ancona,Maurizio Martelli,Nicoletta Bianchi,H. De Lumley +8 more
- pp 539-546
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TLDR
Indiana Finder is presented, an interactive visualization system that supports archaeologists in the examination of large repositories of documents and drawings that provides visual analytic support for investigative analysis such as the interpretation of new archaeological findings, the detection of interpretation anomalies, and the discovery of new insights.Abstract:
With the invention and rapid improvement of data-capturing devices, such as satellite imagery and digital cameras, the information that archaeologists must manage in their everyday's activities has rapidly grown in complexity and amount. In this work we present Indiana Finder, an interactive visualization system that supports archaeologists in the examination of large repositories of documents and drawings. In particular, the system provides visual analytic support for investigative analysis such as the interpretation of new archaeological findings, the detection of interpretation anomalies, and the discovery of new insights. We illustrate the potential of Indiana Finder in the context of the digital protection and conservation of rock art natural and cultural heritage sites. In this domain, Indiana Finder provides an integrated environment that archaeologists can exploit to investigate, discover, and learn from textual documents, pictures, and drawings related to rock carvings. This goal is accomplished through novel visualization methods including visual similarity ring charts that may help archaeologists in the hard task of dating a symbol in a rock engraving based on its shape and on the surrounding symbols.read more
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Journal ArticleDOI
Visualization of Cultural Heritage Collection Data: State of the Art and Future Challenges
Florian Windhager,Paolo Federico,Günther Schreder,Katrin Glinka,Marian Dörk,Silvia Miksch,Eva Mayr +6 more
TL;DR: This survey reviews information visualization approaches to digital cultural heritage collections and reflects on the state of the art in techniques and design choices, and contextualizes the survey with humanist perspectives on the field and point out opportunities for future research.
Elenco delle pubblicazioni
Elenco Delle,Pubblicazioni Di,Giuliano Soria,esplorazioni del Nuovo,Francisco de Vitoria,Julián del Casal,Alfonso Cortés,Ricardo Güiraldes,Horacio Quiroga,Jorge Luis Borges,Adolfo Bioy,Manuel Peyrou,Gustavo Adolfo Bécquer,Ignacio Sánchez,Adolfo Bioy Casares +14 more
TL;DR: Soria as mentioned in this paper dedicato alla letteratura spagnola con approfondimenti sul teatro spagnolo del ‘Siglo de Oro’, (Calderon de la
Journal ArticleDOI
Geographic Visualization in Archaeology
Neha Gupta,Rodolphe Devillers +1 more
TL;DR: This paper reviews the use of GIS in archaeology from a geographic visualization (geovisual) perspective and examines how these methods can broaden the scope of archaeological research in an era of more user-friendly cyber-infrastructures.
Journal Article
A holonic multi-agent system for sketch, image and text interpretation in the rock art domain
Mascardi,Daniela Briola,Angela Locoro,Daniele Grignani,Deufemia,Luca Paolino,Nicoletta Bianchi,H. De Lumley,Damiano Malafronte,A Ricciarelli +9 more
TL;DR: The architecture of a holonic multi-agent system for rock art interpretation and the results achieved within the “Indiana MAS” project are presented and the way Indiana MAS holons cooperate in order to provide correct interpretations of ambiguous shapes is discussed by means of an example based on hypotheses recently advanced by archaeologists.
Proceedings ArticleDOI
Petroglyph Recognition Using Self-Organizing Maps and Fuzzy Visual Language Parsing
TL;DR: A new algorithm for recognizing petroglyphs within scenes composed of several engraved figures, which combines an unsupervised recognizer, Self-Organizing Maps (SOM), with a fuzzy visual language parser.
References
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