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
Multimedia and Information Systems is...
We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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