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Abstract

Semantic Web knowledge representation standards, and in particular RDF and OWL, often come endowed with a formal semantics which is considered to be of fundamental importance for the field. Reasoning, i.e., the drawing of logical inferences from knowledge expressed in such standards, is traditionally based on logical deductive methods and algorithms which can be proven to be sound and complete and terminating, i.e. correct in a very strong sense. For various reasons, though, in particular the scalability issues arising from the ever increasing amounts of Semantic Web data available and the inability of deductive algorithms to deal with noise in the data, it has been argued that alternative means of reasoning should be investigated which bear high promise for high scalability and better robustness. From this perspective, deductive algorithms can be considered the gold standard regarding correctness against which alternative methods need to be tested. In this paper, we show that it is possible to train a Deep Learning system on RDF knowledge graphs, such that it is able to perform reasoning over new RDF knowledge graphs, with high precision and recall compared to the deductive gold standard.

Date

16.11.2018 14:22:01

Type

a

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Abstract

This text introduces the standardized knowledge representation languages for modeling ontologies operating at the core of the semantic web. It covers RDF schema, Web Ontology Language (OWL), rules, query languages, the OWL 2 revision, and the forthcoming Rule Interchange Format (RIF). A 2010 CHOICE Outstanding Academic Title ! The nine chapters of the book guide the reader through the major foundational languages for the semantic Web and highlight the formal semantics. ! the book has very interesting supporting material and exercises, is oriented to W3C standards, and provides the necessary foundations for the semantic Web. It will be easy to follow by the computer scientist who already has a basic background on semantic Web issues; it will also be helpful for both self-study and teaching purposes. I recommend this book primarily as a complementary textbook for a graduate or undergraduate course in a computer science or a Web science academic program. --Computing Reviews, February 2010 This book is unique in several respects. It contains an in-depth treatment of all the major foundational languages for the Semantic Web and provides a full treatment of the underlying formal semantics, which is central to the Semantic Web effort. It is also the very first textbook that addresses the forthcoming W3C recommended standards OWL 2 and RIF. Furthermore, the covered topics and underlying concepts are easily accessible for the reader due to a clear separation of syntax and semantics ! I am confident this book will be well received and play an important role in training a larger number of students who will seek to become proficient in this growing discipline.