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Irma Sofia Espinosa Peraldi

M.Sc. Irma Sofia Espinosa Peraldi

Position:
  Research Assistant
Phone:
  +49 - 40 - 42878 - 4373
E-Mail:
  sofia.espinosa@tuhh.de
Room:
  223 (Harburger Schloßstr. 20)

People at Software Systems Institute

 

Projects







BOEMIE: Bootstrapping Ontology Evolution with Multimedia Information Extraction (2006-2009)

Abstract:
BOEMIE will pave the way towards automation of the process of knowledge acquisition from multimedia content, by introducing the notion of evolving multimedia ontologies which will be used for the extraction of information from multimedia content in networked sources, both public and proprietary. BOEMIE advocates a synergistic approach that combines multimedia extraction and ontology evolution in a bootstrapping process involving, on the one hand, the continuous extraction of semantic information from multimedia content in order to populate and enrich the ontologies and, on the other hand, the deployment of these ontologies to enhance the robustness of the extraction system. BOEMIE will develop a new methodology for extraction and evolution, using a rich multimedia semantic model, and realized as an open architecture. The architecture will be coupled with the appropriate set of tools, implementing the advanced methods that will be developed in BOEMIE. Furthermore, BOEMIE aims to initiate a new research activity on the automation of knowledge acquisition from multimedia content, through ontology evolution. The resulting technology has a wide range of applications in commerce, tourism, e-science, etc. During the project, the technology will be evaluated through the development of an automatic content collection and annotation service for public events in a number of major European cities. The extracted semantic information will enrich a digital map, which will provide a friendly interface to the end user.

Project Publications

A. Ferrara, D. Karageorgopoulos, A. Ntalakas, S. Peraldi, G. Petasis, S. Petridis, T. Rahmlow
Deliverable D5.6: System Integration - Prototype I, Distribution level: Restricted, March, 2008.

S. Petridis, N. Tsapatsoulis, D. Kosmopoulos, V. Gatos, G. Petasis, P. Fragou, V. Karkaletsis, W. Hesseler, K. Biatov, S. Espinosa, S. Melzer, A. Kaya, R. Möller, S. Perantonis.
Deliverable D2.6: Semantics extraction from fused multimedia content, February, 2008

S. Espinosa, A. Kaya, S. Melzer, R. Möller, T.Näth, M. Wessel.
Deliverable D4.5: Reasoning Engine Version 2. Technical report, Hamburg University Of Technology, 2007.
Bibtex entry   Paper (PDF)

A. Kaplunova A. Kaya S. Melzer R. Moeller M. Wessel S. Espinosa, V. Haarslev.
Deliverable D4.2: Reasoning Engine Version 1 and State of the Art in Reasoning Techniques, Technical report, Hamburg University Of Technology, January 2007.
Bibtex entry   Paper (PDF)

S. Dasiopoulou S. Espinosa A. Ferrara G. N. Hess V. Karkaletsis A. Kaya S. Melzer R. Moeller S. Montanelli G. Petasis S. Castano, K. Dalakleidi.
Deliverable D4.1: Methodology and Architecture for Multimedia Ontology Evolution, December 2006.
Bibtex entry   Paper (PDF)

D. Kosmopoulos Y. Pratikakis V. Gatos S. Perantonis G. Petasis P. Fragou V. Karkaletsis K. Biatov C. Seibert S. Espinosa S. Melzer A. Kaya R. Moeller S. Petridis, N. Tsapatsoulis.
Deliverable D2.1: Methodology for Semantics Extraction from Multimedia Content, December 2006.
Bibtex entry   Paper (PDF)

Technical Reports

2008

S. Espinosa Peraldi, A. Kaya, R. Möller.
Ontology and Rule Design Patterns for Multimedia Interpretation
Paper (PDF)

Publications

2008

S. Castano, S. Espinosa, A. Ferrara, V. Karkaletsis, A. Kaya, R. Möller, S. Montanelli, G. Petasis, and M. Wessel.
Multimedia Interpretation for Dynamic Ontology Evolution.
In Journal of Logic and Computation.
Oxford University Press, September 2008.
Bibtex entry  Abstract  Paper (PDF)

S. Espinosa Peraldi, A. Kaya, S. Melzer, R. Möller.
On Ontology Based Abduction for Text Interpretation
In A. Gelbukh, editor, Proc. of 9th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2008),
number 4919 in LNCS, pages 194–205. Springer, 2008.

February 2008, Haifa, Israel.
Bibtex entry   Abstract   Paper (PDF)

2007

S. Espinosa Peraldi, A. Kaya, S. Melzer, R. Möller, M. Wessel.
Towards a Media Interpretation Framework for the Semantic Web
In Proc. of IEEE/WIC/ACM International Conference on Web Intelligence (WI'07), number 1331876, pages 374-380. IEEE Computer Society, 2007.
October 2007, Silicon Valley, USA.
Bibtex entry   Abstract   Paper (PDF)

S. Espinosa, A. Kaya, S. Melzer, R. Möller, M. Wessel.
Multimedia Interpretation as Abduction.
In Proc. of the International Workshop on Description Logics (DL-2007), June 2007. Brixen, Italy.
Bibtex entry   Abstract   Paper (PDF)

Silvana Castano, Sofia Espinosa, Alfio Ferrara, Vangelis Karkaletsis, Atila Kaya, Sylvia Melzer, Ralf Möller, Stefano Montanelli, Georgios Petasis.
Ontology Dynamics with Multimedia Information: The BOEMIE Evolution Methodology.
In Proc. of the International Workshop on Ontology Dynamics (IWOD), June 2007. Innsbruck, Austria.
Bibtex entry   Abstract   Paper (PDF)

2006

Sofia Espinosa and Ralf Möller.
Cost-efficient web service composition for processes with distributed retrieval queries: Position paper.
In Proc. of the 2006 International Workshop on Description Logics (DL2006), June 2006. Lake District, UK.
Bibtex entry   Paper (PDF)

2005

Masther Thesis: Cost-Efficient Web Service Compositions

Abstract:
In the near future, description logic reasoning services will be offered as web services and intial versions of, for instance, OWL QL web services have already been developed. Due to the proliferation of web services that offer the same functionality, the problem of selecting a particular service binding in order to minimizing resource consumption in a particular web service composition has emerged. The question is: Which server to select for a specific service invocation? In this thesis optimization techniques for web service compositions involving multiple reasoning service invocations is discussed. In particular, WS compositions are investigated that define a large-scale inference process, where each WS partner of the composition provides reasoning services over (possibly heterogeneous) ontologies. The optimization problem in this context is expressed in terms of a configuration problem in which candidate web services become objects to be combined such that they satisfy certain criteria.
Bibtex entry   Paper (PDF)

2004

Project Work: Migration from face-to-face SAP courses to eLearning
Bibtex entry   Paper (PDF)


Last change: 14/04/2009,
Irma Sofia Espinosa Peraldi