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This paper is devoted to the problems of ontology-based mathematical knowledge management and representation. The main attention is paid to the development of a formal model for the representation of mathematical statements in the Open…

Artificial Intelligence · Computer Science 2023-03-27 Alexander Kirillovich , Olga Nevzorova , Evgeny Lipachev

While contemporary semantic search systems offer to improve classical keyword-based search, they are not always adequate for complex domain specific information needs. The domain of prescription drug abuse, for example, requires knowledge…

Information Retrieval · Computer Science 2014-11-17 Delroy Cameron , Amit Sheth , Nishita Jaykumar , Krishnaprasad Thirunarayan , Gaurish Anand , Gary A. Smith

Ontologies often require knowledge representation on multiple levels of abstraction, but description logics (DLs) are not well-equipped for supporting this. We propose an extension of DLs in which abstraction levels are first-class citizens…

Artificial Intelligence · Computer Science 2023-10-23 Carsten Lutz , Lukas Schulze

Recently, there has been a growing interest in Multimodal Large Language Models (MLLMs) due to their remarkable potential in various tasks integrating different modalities, such as image and text, as well as applications such as image…

Computer Vision and Pattern Recognition · Computer Science 2024-09-30 Jihen Amara , Birgitta König-Ries , Sheeba Samuel

The terms 'semantics' and 'ontology' are increasingly appearing together with 'explanation', not only in the scientific literature, but also in organizational communication. However, all of these terms are also being significantly…

Artificial Intelligence · Computer Science 2023-04-24 Giancarlo Guizzardi , Nicola Guarino

Ontology development is a non-trivial task requiring expertise in the chosen ontological language. We propose a method for making the content of ontologies more transparent by presenting, through the use of natural language generation,…

Artificial Intelligence · Computer Science 2013-12-11 Shao Fen Liang , Donia Scott , Robert Stevens , Alan Rector

Mentions of new concepts appear regularly in texts and require automated approaches to harvest and place them into Knowledge Bases (KB), e.g., ontologies and taxonomies. Existing datasets suffer from three issues, (i) mostly assuming that a…

Computation and Language · Computer Science 2023-09-04 Hang Dong , Jiaoyan Chen , Yuan He , Ian Horrocks

Providing explanations along with predictions is crucial in some text processing tasks. Therefore, we propose a new self-interpretable model that performs output prediction and simultaneously provides an explanation in terms of the presence…

Machine Learning · Computer Science 2019-09-30 Diane Bouchacourt , Ludovic Denoyer

In ontology development, there is a gap between domain ontologies which mostly use the web ontology language, OWL, and foundational ontologies written in first-order logic, FOL. To bridge this gap, we present Gavel, a tool that supports the…

Artificial Intelligence · Computer Science 2022-10-10 Simon Flügel , Martin Glauer , Fabian Neuhaus , Janna Hastings

The quality of ontologies and their alignments is crucial for developing high-quality semantics-based applications. Traditional debugging techniques repair ontology networks by removing unwanted axioms and mappings, but may thereby remove…

Artificial Intelligence · Computer Science 2024-07-29 Ying Li , Patrick Lambrix

Most definitions of ontology, viewed as a "specification of a conceptualization", agree on the fact that if an ontology can take different forms, it necessarily includes a vocabulary of terms and some specification of their meaning in…

Artificial Intelligence · Computer Science 2008-01-09 Christophe Roche

OWL ontologies, whose formal semantics are rooted in Description Logic (DL), have been widely used for knowledge representation. Similar to Knowledge Graphs (KGs), ontologies are often incomplete, and maintaining and constructing them has…

Artificial Intelligence · Computer Science 2024-03-26 Mathias Jackermeier , Jiaoyan Chen , Ian Horrocks

In this paper, an approach for concept extraction from documents using pre-trained large language models (LLMs) is presented. Compared with conventional methods that extract keyphrases summarizing the important information discussed in a…

Computation and Language · Computer Science 2025-04-23 Ebrahim Norouzi , Sven Hertling , Harald Sack

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 explores the possibility of enriching the content of existing ontologies. The overall goal is to overcome the lack of topical links among concepts in WordNet. Each concept is to be associated to a topic signature, i.e., a set of…

Computation and Language · Computer Science 2007-05-23 Eneko Agirre , Olatz Ansa , Eduard Hovy , David Martinez

In this paper we propose an analysis and an upgrade of WordNet's top-level synset taxonomy. We briefly review WordNet and identify its main semantic limitations. Some principles from a forthcoming OntoClean methodology are applied to the…

Computation and Language · Computer Science 2007-05-23 Aldo Gangemi , Nicola Guarino , Alessandro Oltramari

OWL (Web Ontology Language) ontologies which are able to formally represent complex knowledge and support semantic reasoning have been widely adopted across various domains such as healthcare and bioinformatics. Recently, ontology…

Artificial Intelligence · Computer Science 2025-07-22 Hui Yang , Jiaoyan Chen , Yuan He , Yongsheng Gao , Ian Horrocks

We study complete approximations of an ontology formulated in a non-Horn description logic (DL) such as $\mathcal{ALC}$ in a Horn DL such as~$\mathcal{EL}$. We provide concrete approximation schemes that are necessarily infinite and observe…

Artificial Intelligence · Computer Science 2020-06-17 Anneke Haga , Carsten Lutz , Johannes Marti , Frank Wolter

In this article, we investigate our early attempts at building an ontology describing rehabilitation therapies following brain injury. These therapies are wide-ranging, involving interventions of many different kinds. As a result, these…

Information Retrieval · Computer Science 2017-09-28 Mohammad K. Halawani , Rob Forsyth , Phillip Lord

In the knowledge engineering community "ontology" is usually defined in the tradition of Gruber as an "explicit specification of a conceptualization". Several variations of this definition exist. In the paper we argue that (with one notable…

Artificial Intelligence · Computer Science 2018-10-23 Fabian Neuhaus