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IEEE Transactions on Pattern Analysis and Machine Intelligence - Special memorial issue for Professor King-Sun Fu
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Signal-to-symbol transformation: HASP/SIAP case study
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Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Conceptual Spaces for Computer Vision Representations
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Integrated Signal Processing and Signal Understanding
Integrated Signal Processing and Signal Understanding
Symbol Grounding for Semantic Image Interpretation: From Image Data to Semantics
ICCVW '05 Proceedings of the Tenth IEEE International Conference on Computer Vision Workshops
Ontology based complex object recognition
Image and Vision Computing
Algorithm evolution for signal understanding
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Supporting rule system interoperability on the semantic web with SWRL
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
An approach for grounding ontologies in raw data using foundational ontology
Information Systems
Expert Systems with Applications: An International Journal
| Hi-index | 12.06 |
This paper presents the S-Chart framework, an approach for semantic image interpretation of line charts; and the InteliStrata system, an application for semantic interpretation of gamma ray profiles. The S-Chart framework is structured as a set of knowledge models and algorithms that can be instantiated to accomplish chart interpretation in all sorts of domains. The knowledge models are represented in three semantic levels and apply the concept of symbol grounding in order to map the representation primitives between the levels. The interpretation algorithms carry out the interaction between the high-level symbolic reasoning, and the low-level signal processing. In order to demonstrate the applicability of the S-Chart framework, we developed the InteliStrata system, an application in Geology for the semantic interpretation of gamma ray profiles. Using the developed application, we have interpreted the charts of two gamma ray profiles captured in petroleum exploration wells, indicating the position of stratigraphic sequences and maximum flooding surfaces. The results were compared with the interpretation produced by an experienced geologist using the same data input. The system carried out interpretation that were compatible with the geologist interpretation over the data. Our framework has the advantage of allowing the integration of existing domain ontologies with domain independent visual knowledge models and also the ability of grounding domain concepts in low-level data.