Title :
Visual Interpretation of Events in Petroleum Geology
Author :
Carbonera, Joel Luis ; Abel, Mara ; Scherer, Claiton M. ; Bernardes, Ariane K.
Author_Institution :
Inst. of Inf., Univ. Fed. do Rio Grande do Sul - UFRGS, Porto Alegre, Brazil
Abstract :
In visual domains, the tasks are accomplished through intensive use of visual knowledge. In this paper, we are interested in the visual interpretation task, which is prevalent in many visual domains. We investigate the role played by foundational ontologies in reasoning processes that deals with visual information, as those that are performed in visual interpretation tasks. We propose an approach for visual interpretation that combines ontologically well founded domain ontologies, a reasoning model, and a cognitively well founded meta-model for representation of inferential knowledge. Our approach was effectively applied in the task of visual interpretation of depositional processes, within the Sedimentary Stratigraphy domain.
Keywords :
geophysics computing; inference mechanisms; ontologies (artificial intelligence); petrology; stratigraphy; cognitively well founded meta-model; depositional process; domain ontologies; foundational ontologies; inferential knowledge representation; petroleum geology; reasoning process; sedimentary stratigraphy domain; visual domains; visual events interpretation; visual information; visual interpretation task; Abstracts; Cognition; Geology; Knowledge based systems; Ontologies; Pattern matching; Visualization; Knowledge Engineering; Knowledge Representation; Ontology; Visual Knowledge;
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2013 IEEE 25th International Conference on
Conference_Location :
Herndon, VA
Print_ISBN :
978-1-4799-2971-9
DOI :
10.1109/ICTAI.2013.37