MUSING: MUlti-industry, Semantic-based next generation business INtelliGence

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MUSINGMUlti-industry, Semantic-based next
generation business INtelliGence
IST Project Number FP6 027097 Funded by the
European Commission, IST, Unit E2 Knowledge
Management and Content Creation
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Overview

• MUSING aims at developing a new generation of
  Business Intelligence (BI) tools and modules
  based on semantic-based knowledge and content
  systems. MUSING will integrate Semantic Web and
  Human Language technologies and combine
  declarative rule-based methods and statistical
  approaches for enhancing the technological
  foundations of knowledge acquisition and
  reasoning in BI applications. The breakthrough
  impact of MUSING on semantic-based BI, and its
  paradigm of multi-industry potentiality will be
  measured as the result of user-driven RTD
  developments in three vertical domains
• Finance, through development and validation of
  next generation (Basel II and beyond)
  semantic-based BI solutions, with particular
  reference to Credit Risk Management
• Internationalisation, (i.e., the process that
  allows an enterprise to evolve its business from
  a local to an international dimension, hereby
  expressly focusing on the information acquisition
  work concerning international partnerships,
  contracts, investments) through development and
  validation of next-generation semantic-based
  internationalisation platforms
• Operational Risk Management, through development
  and validation of semantic-driven knowledge
  systems for measurement and mitigation tools,
  with particular reference to operational risks
  faced by IT-intensive organisations.

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Consortium

• Metaware
• CI Consultancy Ltd.
• Verband der Vereine Creditreform
• Deutsches Forschungszentrum für Künstliche
  Intelligenz
• European Business Register
• KPA Ltd.
• MPSnet
• Numerica
• University of Innsbruck
• University of Limerick
• University of Pavia
• University of Pisa
• Tadiran Telecom Communication Services
• TBSI
• University of Sheffield

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Main ST objectives

• Development of an innovative, self-adapting BI
  system that integrates and specialises high-level
  semantic technologies for supporting next level
  of effectiveness in operations in different
  industries
• Combined use of declarative rule-based approaches
  and statistical methods in semantic technology
• Modelling and recognising evolving knowledge
  accounting for temporal logic
• Validation of RTD results in three high-impact
  vertical domains
• Support to development of innovative technologies
  that enable enterprises self-assessment.

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Prime tangible results

• A set of innovative knowledge management
  components to be utilised in multiple industries
• An integrated, self-adapting framework to develop
  specialised BI applications for vertical
  industries
• Validation and demonstration of
  readily-exploitable semantic-based BI solutions
  in three vertical domains
• Creation of BI awareness and knowledge in
  scientific, public and business sectors through a
  broad dissemination of project innovation
• Specifically trained researchers and end-users
  resulting from MUSING training campaigns.

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Expected impact

• Impact on a broad spectrum of users private
  enterprises (especially SMEs) of various
  industries public and private financial
  institutions, rating agencies, trading operators,
  investors public ad-ministrations and private
  information providers analysts and researchers,
  etc.
• Cross-fertilisation among the various scientific
  communities involved by MUSING
• Dissemination beyond research circles of
  semantic-based business intelligence solutions
• Strategic and tactic impact on access to credit
  by enterprises, by contributing to building a
  stronger relationship (in line with the
  principles of the upcoming international Basel
  II accord on Capital Adequacy), based on new
  knowledge extracted from otherwise unexploited
  information, between companies and financial
  institutions
• Tangible impact on the capability of delivering
  innovative services for companies to support them
  in the process of internationalization, basing
  the relationships on a trusted and manageable
  knowledge, owing to semantic-based technologies
• Tangible impact on the capability of delivering
  innovative services for companies to properly
  man-age the operational risk and to follow its
  evolution, by generating and injecting new
  knowledge and scientific findings into the risk
  management processes.

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Projects Overall Structure
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Outputs, target industries users
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Thank you.