Estimating and Managing the Costs and Benefits of Knowledge Structures
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  Elena Simperl   Elena Simperl
Senior Research Associate
Karlsruhe Institute of Technology


Wednesday, June 23, 2010
11:30 AM - 12:30 PM

Level:  Business / Non-Technical

Knowledge-based applications offer solutions for a variety of problems related to searching, finding, and acquiring new knowledge. To encourage the wide industrial uptake of knowledge-based technologies, instruments to assess potential economic benefits of these technologies and to predict the total costs of their development and deployment are a must. The aim of this presentation is to introduce methods that produce quantitative estimates of the costs and benefits of knowledge-based applications. In order to ensure validity of these models, we rely on a predicative framework that outlines a detailed track on how such models should be derived. Following this framework, we identify functionalities and consider relevant factors with respect to costs and benefits. Based on these factors, we propose an initial set of cost/benefit methods. Most notably, these methods are applicable to a wide range of knowledge structures, such as ontologies, taxonomies and folksonomies, but also to the software applications using them. They leverage experience in engineering knowledge-based applications and a survey of over 150 projects in academia and industry.

In this presentation, we'll address the following topics:

  • Explain how to estimate and manage the efforts related to developing and maintaining ontologies, taxonomies and folksonomies
  • Introduce methods to quantify the benefits of knowledge-driven technologies in a number of key information management scenarios
  • Describe a case study at a globally acting telecommunications operator, in which different types of knowledge structures have been used to create intelligent information management solutions that maximize the productivity of knowledge workers

Elena Simperl is currently working as a senior researcher at the Karlsruhe Institute of Technology. She also holds a part-time position at the Semantic Technology Institute (STI) Innsbruck at the University of Innsbruck, Austria, where she served as vice director of the institute from 2007 to the end of 2009. Elena holds a Ph.D. in Computer Science from the Free University of Berlin and a Diploma in Computer Science from the Technical University of Munich. She has held positions as a research assistant at the Technical University of Munich (2002-2003) and the Free University of Berlin (2003-2007). Her primary domain of research is Knowledge Engineering. In particular she is interested in application- and business-oriented aspects of ontology building and management, and in methods and paradigms facilitating and encouraging knowledge sharing and reuse. She had the opportunity to approach these topics in over 15 European and national projects. Most notably, Elena was scientific coordinator in TripCom and Service Web 3.0 and project manager in Knowledge Web; currently she is acting as coordinator of the INSEMTIVES project. Elena published around 70 scientific papers, organized various workshops addressing the aforementioned research topics, and initiated several activities targeted at the supervision and guidance of doctoral students and young researchers such as the PhD Network Berlin Brandenburg, and the Knowledge Web PhD Symposium series organized at the European Semantic Web Conference ESWC since 2006. Further educational activities include the lecture of Master and Bachelor courses at the Free University of Berlin and University of Innsbruck, the founding and organization of the Asian Semantic Web School, the IEEE Summer School on Semantic Computing, and the Semantic Web Services Winter Retreat, as well as the management of the education service within Semantic Technologies Institute International (STI) International, an association bringing together major players in the fields of semantic technologies.

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