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Related papers: Transforming UNL graphs in OWL representations

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The fundamental issue in knowledge representation is to provide a precise definition of the knowledge that they possess in a manner that is independent of procedural considerations, context free and easy to manipulate, exchange and reason…

Artificial Intelligence · Computer Science 2014-05-07 Shamim Ripon , Aoyan Barua , Mohammad Salah Uddin

SHACL is a W3C-proposed language for expressing structural constraints on RDF graphs. In recent years, SHACL's popularity has risen quickly. This rise in popularity comes with questions related to its place in the semantic web, particularly…

Logic in Computer Science · Computer Science 2022-06-29 Bart Bogaerts , Maxime Jakubowski , Jan Van den Bussche

The semantic web has received many contributions of researchers as ontologies which, in this context, i.e. within RDF linked data, are formalized conceptualizations that might use different protocols, such as RDFS, OWL DL and OWL FULL. In…

Artificial Intelligence · Computer Science 2017-10-30 Renato Fabbri

This paper presents inference rules for Resource Description Framework (RDF), RDF Schema (RDFS) and Web Ontology Language (OWL). Our formalization is based on Notation 3 Logic, which extended RDF by logical symbols and created Semantic Web…

Databases · Computer Science 2016-01-13 Dominik Tomaszuk

A graphical language addresses the need to communicate medical information in a synthetic way. Medical concepts are expressed by icons conveying fast visual information about patients' current state or about the known effects of drugs. In…

Computation and Language · Computer Science 2014-11-18 Pascal Vaillant , Jean-Baptiste Lamy

On the Semantic Web, metadata and ontologies are used to enable computers to read data. The Web Ontology Language (OWL) has been proposed as a standard ontological language, and various inference systems for this language have been studied.…

Logic in Computer Science · Computer Science 2022-08-11 Daiki Takahashi , Ken Kaneiwa

SHACL and OWL are two prominent W3C standards for managing RDF data. These languages share many features, but they have one fundamental difference: OWL, designed for inferring facts from incomplete data, makes the open-world assumption,…

Logic in Computer Science · Computer Science 2026-01-21 Anouk Oudshoorn , Magdalena Ortiz , Mantas Simkus

Semantic knowledge graphs are foundational to implementing the FAIR Principles, yet RDF/OWL representations often lack the semantic flexibility and cognitive interoperability required in scientific domains. We present a novel framework for…

Databases · Computer Science 2025-06-09 Lars Vogt

Ontologies are used in various domains, with RDF and OWL being prominent standards for ontology development. RDF is favored for its simplicity and flexibility, while OWL enables detailed domain knowledge representation. However, as…

Artificial Intelligence · Computer Science 2023-08-10 Gunjan Singh , Sumit Bhatia , Raghava Mutharaju

Many formal languages have been proposed to express or represent Ontologies, including RDF, RDFS, DAML+OIL and OWL. Most of these languages are based on XML syntax, but with various terminologies and expressiveness. Therefore, choosing a…

Artificial Intelligence · Computer Science 2010-06-24 Mohammad Mustafa Taye

In this paper, we present a system to visualize RDF knowledge graphs. These graphs are obtained from a knowledge extraction system designed by GEOLSemantics. This extraction is performed using natural language processing and trigger…

Human-Computer Interaction · Computer Science 2015-10-02 Fadhela Kerdjoudj , Olivier Curé

In constraint languages for RDF graphs, such as ShEx and SHACL, constraints on nodes and their properties in RDF graphs are known as "shapes". Schemas in these languages list the various shapes that certain targeted nodes must satisfy for…

Databases · Computer Science 2021-12-23 Thomas Delva , Anastasia Dimou , Maxime Jakubowski , Jan Van den Bussche

We present an introduction and a review of the Shapes Constraint Language (SHACL), the W3C recommendation language for validating RDF data. A SHACL document describes a set of constraints on RDF nodes, and a graph is valid with respect to…

Artificial Intelligence · Computer Science 2021-12-03 Paolo Pareti , George Konstantinidis

Many systems can be described in terms of networks of discrete elements and their various relationships to one another. A semantic network, or multi-relational network, is a directed labeled graph consisting of a heterogeneous set of…

Artificial Intelligence · Computer Science 2008-11-03 Marko A. Rodriguez , Jennifer H. Watkins , Johan Bollen , Carlos Gershenson

Over the past two decades, the Web Ontology Language (OWL) has been instrumental in advancing the development of ontologies and knowledge graphs, providing a structured framework that enhances the semantic integration of data. However, the…

Logic in Computer Science · Computer Science 2024-12-13 Atalay Mert Ileri , Nalen Rangarajan , Jack Cannell , Hande McGinty

We investigate the problem of verbalizing Web Ontology Language (OWL) axioms of domain ontologies in this paper. The existing approaches address the problem of fidelity of verbalized OWL texts to OWL semantics by exploring different ways of…

Artificial Intelligence · Computer Science 2016-07-26 E. V. Vinu , P Sreenivasa Kumar

The emerging Web of Data utilizes the web infrastructure to represent and interrelate data. The foundational standards of the Web of Data include the Uniform Resource Identifier (URI) and the Resource Description Framework (RDF). URIs are…

Artificial Intelligence · Computer Science 2011-08-05 Marko A. Rodriguez

Ontologies are one of the core foundations of the Semantic Web. To participate in Semantic Web projects, domain experts need to be able to understand the ontologies involved. Visual notations can provide an overview of the ontology and help…

Artificial Intelligence · Computer Science 2016-07-07 Renārs Liepiņš , Uldis Bojārs , Normunds Grūzītis , Kārlis Čerāns , Edgars Celms

This paper presents our work on development of OWL-driven systems for formal representation and reasoning about terminological knowledge and facts in petrology. The long-term aim of our project is to provide solid foundations for a…

Artificial Intelligence · Computer Science 2011-06-09 Alex Shkotin , Vladimir Ryakhovsky , Dmitry Kudryavtsev

Large Language Models (LLMs) demonstrate an impressive capacity to recall a vast range of factual knowledge. However, understanding their underlying reasoning and internal mechanisms in exploiting this knowledge remains a key research area.…

Computation and Language · Computer Science 2024-08-07 Marco Bronzini , Carlo Nicolini , Bruno Lepri , Jacopo Staiano , Andrea Passerini
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