Semantic Business Process Analysis
This event took place on Wednesday 20 May 2009 at 11:30
Dr. Carlos Pedrinaci Knowledge Media Institute
Business Process Management (BPM) aims to support the whole life-cycle necessary to deploy and maintain business processes within organisations. An important step of the BPM life-cycle is the analysis of the processes deployed in companies. However, the degree of automation currently achieved cannot support the level of adaptation required by businesses. In this talk I will present the experience gained in the course of the EU project SUPER in applying semantic technologies to enhancing existing techniques in Business Process Analysis. In particular I will describe the main ontologies that we have defined to this end and I will introduce some of the different analysis techniques and applications that we have developed.
This event took place on Wednesday 20 May 2009 at 11:30
Business Process Management (BPM) aims to support the whole life-cycle necessary to deploy and maintain business processes within organisations. An important step of the BPM life-cycle is the analysis of the processes deployed in companies. However, the degree of automation currently achieved cannot support the level of adaptation required by businesses. In this talk I will present the experience gained in the course of the EU project SUPER in applying semantic technologies to enhancing existing techniques in Business Process Analysis. In particular I will describe the main ontologies that we have defined to this end and I will introduce some of the different analysis techniques and applications that we have developed.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Semantic Web and Knowledge Services is...
Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.
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