[DL] IJAR Special issue on Uncertainty Reasoning for the Web

Fernando Bobillo fbobillo at unizar.es
Wed Nov 16 15:59:48 CET 2016

Apologies for cross posting

                         CALL FOR PAPERS
        International Journal on Approximate Reasoning (IJAR)
        Special Issue on "Uncertainty Reasoning for the Web"

Paper submission deadline: February 15, 2017

Effective methods for reasoning under uncertainty are vital for realizing many aspects of the World Wide Web, Semantic Web, and uses of Linked Data (WWW-SW-LD), but the ability of current-generation technology to handle uncertainty remains extremely limited. Thus, there is a continuing demand for uncertainty reasoning technologies among WWW-SW-LD researchers and developers. The objective of this special issue is to collect and report on recent high quality research that targets problems related to uncertainty in the context of the World Wide Web, the Semantic Web or Linked Data. High quality contributions addressing related theoretical and/or practical aspects are expected.

This special issue is a following-up of the 2014-2016 editions of the International Workshop on Uncertainty Reasoning for the Semantic Web (URSW), co-located on an annual basis with the International Semantic Web Conference (ISWC). Although participants of this workshop are particularly invited to submit extended and revised versions of accepted workshop papers, this Call for Papers is open to everyone interested in the topic of this special issue.


We are looking for submissions addressing topics relevant to the general subject of uncertainty in the context of the World Wide Web (WWW), the Semantic Web (SW) or Linked Data (LD), including fuzzy theory, probability theory, and other approaches.

Topics of interest include, but are not limited to:

- Syntax and semantics for extensions to WWW-SW-LD languages and frameworks to enable representation of uncertainty
- Logical formalisms to support uncertainty in WWW-SW-LD languages
- Best practices for representing uncertain, incomplete, ambiguous, or controversial information related to WWW-SW-LD
- Probability theory for entity resolution in WWW-SW-LD content
- Non-symbolic and symbolic approaches to uncertainty representation, handling and resolution related to WWW-SW-LD
- Architectures for applying plausible reasoning to the problem of ontology and schema mapping
- Using fuzzy approaches to deal with imprecise concepts within ontologies and schemas
- The concept of a fuzzy/probabilistic ontology and its relevance to WWW-SW-LD
- Best practices for representing uncertain, incomplete, ambiguous, or controversial information related to WWW-SW-LD
- The role of uncertainty as it relates to web services and cloud computing
- Interface protocols with support for uncertainty as a means to improve interoperability among cloud and web services
- Uncertainty reasoning techniques applied to trust issues related to WWW-SW-LD
- Existing implementations of uncertainty reasoning tools in the context of WWW-SW-LD
- Issues and techniques for integrating tools for representing and reasoning with uncertainty
- The future of uncertainty representation, handling and reasoning related to WWW-SW-LD


- Fernando Bobillo (University of Zaragoza, Spain)
- Kenneth J. Laskey (MITRE Corporation, USA)
- Trevor Martin (University of Bristol, UK)
- Matthias Nickles (National University of Ireland, Galway, Ireland)


All submitted manuscripts will be evaluated based on their originality, presentation, relevance and contribution to the field, as well as their suitability to the special issue and their overall quality. Manuscripts must describe original research which neither has been published nor is currently under review in other journals or conferences. Guest editors will make an initial determination of the suitability and scope of all submissions.

Papers are to be uploaded at the IJAR submission web site (http://ees.elsevier.com/ija/), selecting "Special Issue: Uncertainty Reasoning Web", when reaching the "Article Type" step in the submission process.

Paper submission deadline: February 15, 2017

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