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15. Semantic Web and IS


Track Chairs:


Martin Hepp, University of Innsbruck, Austria ( This e-mail address is being protected from spam bots, you need JavaScript enabled to view it
Gottfried Vossen, University of Münster, Germany ( This e-mail address is being protected from spam bots, you need JavaScript enabled to view it )


Track Description:


Ontologies, understood as consensual models of a domain of discourse with some degree of formal semantics, are a research topic of growing interest in several research communities, and their potential contribution to core problems of information systems as a discipline is widely acknowledged. In the past few years, the Semantic Web communities have brought to maturity a comprehensive set of foundational technology components, both at the conceptual level and in the form of prototypes and software. These include, among other assets, ontology engineering methodologies, standardised ontology languages, ontology engineering tools, and other infrastructure like APIs, repositories, and scalable reasoners, plus a plethora of work for making the Deep Web and computational functionality in the form of Web Services accessible at a semantic level. However, Semantic Web technology is only recently being picked up by information systems researchers and practitioners, despite the fact that many problems of data and process management in enterprises and value chains can be traced back to representational mismatches. On the other hand, we can observe that the Semantic Web research communities in computer science have not yet addresses the economic dimensions and the conceptual complexity of real-world integration challenges.


In this conference track, we aim at providing a venue for research that transfers the foundational research from the Semantic Web movement into the information systems domain, and extends the state of the art in ontology research by explicitly considering the economic dimension. The track is supported by the AIS Special Interest Group on Semantic Web and Information Systems (AIS SIGSEMIS).


Suggested topics:


Relevant topics include but are not limited to the following:


  1. Cost and benefit models for ontologies in information systems;
  2. Ontology-based content integration tasks in business and public sector applications, e.g. catalog data integration, spend analysis, or corporate search;
  3. Semantic business process management;
  4. Ontologies in modeling and systems analysis;
  5. Semantics-supported business intelligence;
  6. Ontology support for
    1. Corporate knowledge management,
    2. Customer relationship management (CRM),
    3. Decision support systems,
    4. E-procurement,
    5. Enterprise application integration,
    6. Human resources management,
    7. Legal applications,
    8. Specification and monitoring of service-level agreements,
    9. Supply chain management.


Associate Editors:


- Witold Abramowicz, Poznan University of Economics, Poznan, Poland
- Miltiadis Lytras, Athens University of Economics & Business, Athens, Greece
- Ambjörn Naeve, Royal Institute of Technology (KTH), Stockholm, Sweden
- Sang-goo Lee, School of Computer Science & Engineering, Center for e-Business Technology, Seoul National University, Seoul, Korea 

- Stefan Decker, Digital Enterprise Research Institute (DERI), National university of Ireland Galway, Ireland