Special issue on "Uncertainty Reasoning for the Web"
International Journal of Approximate Reasoning
Guest Editors:
- 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
Introduction
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.
This special issue would be a continuation of three postproceedings LNCS volumes:
- Uncertainty Reasoning for the Semantic Web I, with extended versions of selected papers from URSW 2005-2007
- Uncertainty Reasoning for the Semantic Web II, with extended versions of selected papers from URSW 2008-2010
- Uncertainty Reasoning for the Semantic Web III, with extended versions of selected papers from URSW 2011-2013
Topics of interest
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
- 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
Submission Procedure
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, selecting "Uncertainty Reasoning for the Web", when reaching the "Article Type" step in the submission process.
Important Dates
- Deadline for manuscript submission:
February 15March 15, 2017 - Notification to authors:
May 15June 1, 2017 - Second round versions: 2 months after the notification
- Final versions: November 15, 2017
Accepted Papers
- Fernando Bobillo, Kenneth J. Laskey, Trevor Martin, Matthias Nickles. Editorial. International Journal of Approximate Reasoning 93:327-329, 2018
- Joerg Schoenfisch and Heiner Stuckenschmidt. Analyzing Real-World SPARQL Queries and Ontology-Based Data Access in the Context of Probabilistic Data. International Journal of Approximate Reasoning 90:374-388, 2017
- Rommel N. Carvalho, Kathryn B. Laskey and Paulo C. G. Costa. PR-OWL - A Language for Defining Probabilistic Ontologies. International Journal of Approximate Reasoning 91:56-79, 2017
- Andrea G. B. Tettamanzi, Catherine Faron-Zucker and Fabien Gandon. Possibilistic Testing of OWL Axioms Against RDF Data. International Journal of Approximate Reasoning 91:114-130, 2017
- Stefan Borgwardt, Marco Cerami and Rafael Peñaloza. The Complexity of Fuzzy EL under the Łukasiewicz T-norm. International Journal of Approximate Reasoning 91:179-201, 2017
- Giuseppe Rizzo, Nicola Fanizzi, Claudia d'Amato and Floriana Esposito. Approximate Classification with Web Ontologies through Evidential Terminological Trees and Forests. International Journal of Approximate Reasoning 92:340-362, 2018
- Mauro Dragoni and Giulio Petrucci. A Fuzzy-based Strategy For Multi-Domain Sentiment Analysis. International Journal of Approximate Reasoning 93:59-73, 2018
- Amna Abidi, Sayda Elmi, Mohamed Anis Bach Tobji, Allel Hadjali and Boutheina Ben Yaghlane. Skyline queries over possibilistic RDF data. International Journal of Approximate Reasoning 93:277-289, 2018
- Bettina Fazzinga, Thomas Lukasiewicz, Maria Vanina Martínez, Gerardo I. Simari and Oana Tifrea-Marciuska. Ontological Query Answering under Many-Valued Group Preferences in Datalog+/-. International Journal of Approximate Reasoning 93:354-371, 2018