Matthias Nickles

Claudia d'Amato

Michael Pool

Thomas Lukasiewicz

Fernando Bobillo

Nicola Fanizzi

Kathryn B. Laskey

Kenneth J. Laskey

Paulo Cesar G. Costa

This book contains revised and significantly extended versions of selected papers from three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2008, 2009, and 2010 or presented at the first international Workshop on Uncertainty in Description Logics (UniDL), held at the Federated Logic Conference (FLoC) in 2010. The 17 papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on probabilistic and Dempster-Shafer models, fuzzy and possibilistic models, inductive reasoning and machine learning, and hybrid approaches.

International Workshops URSW 2008-2010 Held at ISWC and UniDL 2010 Held at Floc, Revised Selected Papers

Uncertainty Reasoning for the Semantic Web II

Pascal Hitzler

Annotation. This book constitutes the refereed proceedings of the 4th InternationalConference on Web Reasoning and Rule Systems, RR 2010, held inBrixen-Bressanone, Italy, in September 2010. The 9 revised full papers, 6 revised short papers, and 4 poster paperspresented together with 1 PhD paper, 2 system descriptions and 3 invitedpapers were carefully reviewed and selected from 41 submissions. Thepapers address all current topics in Web reasoning, Web-based knowledge, and rule systems such as representation techniques; rules andontologies; reasoning languages; efficiency and benchmarking, ; ontologylanguages; querying and optimization; reasoning with uncertainty, underinconsistency, and with constraints; rule languages and systems; ruleinterchange formats and markup languages; scalability; approximatereasoning; statistical methods and symbolic reasoning; as well assemantic Web services modeling and applications.

Fourth International Conference, RR 2010, Bressanone/Brixen, Italy, September 22-24, 2010. Proceedings

Web Reasoning and Rule Systems

Attila Sali

This book constitutes the proceedings of the 7th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2012, held in Kiel, Germany, in March 2012. The 12 regular and 8 short papers, presented together with two invited talks in full paper-length, were carefully reviewed and selected from 53 submissions. The contributions cover foundational aspects of information and knowledge systems. These include the application of ideas, theories or methods from specific disciplines to information and knowledge systems, such as discrete mathematics, logic and algebra, model theory, informaiton theory, complexity theory, algorithmics and computation, statistics, and optimization.

7th International Symposium, FoIKS 2012, Kiel, Germany, March 5-9, 2012, Proceedings

Foundations of Information and Knowledge Systems

Rommel N. Carvalho

Paulo C.G. Costa

This book contains revised and significantly extended versions of selected papers from three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2011, 2012, and 2013. The 16 papers presented were carefully reviewed and selected from numerous submissions. The papers included in this volume are organized in topical sections on probabilistic and Dempster-Shafer models, fuzzy and possibilistic models, inductive reasoning and machine learning, and hybrid approaches.

ISWC International Workshops, URSW 2011-2013, Revised Selected Papers

Uncertainty Reasoning for the Semantic Web III

Cristian Molinaro

Gerardo I. Simari

Maria Vanina Martinez

Livia Predoiu

This SpringerBrief reviews the knowledge engineering problem of engineering objectivity in top-k query answering; essentially, answers must be computed taking into account the user’s preferences and a collection of (subjective) reports provided by other users. Most assume each report can be seen as a set of scores for a list of features, its author’s preferences among the features, as well as other information is discussed in this brief. These pieces of information for every report are then combined, along with the querying user’s preferences and their trust in each report, to rank the query results. Everyday examples of this setup are the online reviews that can be found in sites like Amazon, Trip Advisor, and Yelp, among many others. Throughout this knowledge engineering effort the authors adopt the Datalog+/– family of ontology languages as the underlying knowledge representation and reasoning formalism, and investigate several alternative ways in which rankings can b e derived, along with algorithms for top-k (atomic) query answering under these rankings. This SpringerBrief also investigate assumptions under which our algorithms run in polynomial time in the data complexity. Since this SpringerBrief contains a gentle introduction to the main building blocks (OBDA, Datalog+/-, and reasoning with preferences), it should be of value to students, researchers, and practitioners who are interested in the general problem of incorporating user preferences into related formalisms and tools. Practitioners also interested in using Ontology-based Data Access to leverage information contained in reviews of products and services for a better customer experience will be interested in this brief and researchers working in the areas of Ontological Languages, Semantic Web, Data Provenance, and Reasoning with Preferences.

Ontology-Based Data Access Leveraging Subjective Reports

Thomas Lukasiewicz

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