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Ontology embeddings map classes, relations, and individuals in ontologies into $\mathbb{R}^n$, and within $\mathbb{R}^n$ similarity between entities can be computed or new axioms inferred. For ontologies in the Description Logic…

Artificial Intelligence · Computer Science 2024-06-27 Olga Mashkova , Fernando Zhapa-Camacho , Robert Hoehndorf

We provide an ultimately fine-grained analysis of the data complexity and rewritability of ontology-mediated queries (OMQs) based on an EL ontology and a conjunctive query (CQ). Our main results are that every such OMQ is in AC0,…

Computational Complexity · Computer Science 2019-05-02 Carsten Lutz , Leif Sabellek

Ontology matching is the process of automatically determining the semantic equivalences between the concepts of two ontologies. Most ontology matching algorithms are based on two types of strategies: terminology-based strategies, which…

Artificial Intelligence · Computer Science 2015-07-14 Shangpu Jiang , Daniel Lowd , Dejing Dou

Definite descriptions are phrases of the form 'the $x$ such that $\varphi$', used to refer to single entities in a context. They are often more meaningful to users than individual names alone, in particular when modelling or querying data…

Logic in Computer Science · Computer Science 2021-06-30 Alessandro Artale , Andrea Mazzullo , Ana Ozaki , Frank Wolter

The EL family of Description Logics (DLs) has been the subject of interest in recent years. On the one hand, these DLs are tractable, but fairly inexpressive. On the other hand, these DLs can be used for designing different classes of…

Logic in Computer Science · Computer Science 2015-03-31 M. Fareed Arif , Joao Marques-Silva

Ontologies are essential for structuring domain knowledge, improving accessibility, sharing, and reuse. However, traditional ontology construction relies on manual annotation and conventional natural language processing (NLP) techniques,…

Artificial Intelligence · Computer Science 2026-02-03 Xuan Liu , Ziyu Li , Mu He , Ziyang Ma , Xiaoxu Wu , Gizem Yilmaz , Yiyuan Xia , Bingbing Li , He Tan , Jerry Ying Hsi Fuh , Wen Feng Lu , Anders E. W. Jarfors , Per Jansson

Traditional information retrieval systems represent documents and queries by keyword sets. However, the content of a document or a query is mainly defined by both keywords and named entities occurring in it. Named entities have ontological…

Information Retrieval · Computer Science 2018-07-17 Vuong M. Ngo , Tru H. Cao

We study how large language models (LLMs) reason about memorized knowledge through simple binary relations such as equality ($=$), inequality ($<$), and inclusion ($\subset$). Unlike in-context reasoning, the axioms (e.g., $a < b, b < c$)…

Machine Learning · Computer Science 2025-09-18 Jonathan Shaki , Emanuele La Malfa , Michael Wooldridge , Sarit Kraus

We study the problem of fitting a description logic (DL) ontology to a given set of positive and negative examples that take the form of an ABox and a Boolean query. While previous work has investigated this problem for the expressive DLs…

Logic in Computer Science · Computer Science 2026-05-01 Marvin Grosser , Carsten Lutz

This paper analyzes the correctness of the subsumption algorithm used in CLASSIC, a description logic-based knowledge representation system that is being used in practical applications. In order to deal efficiently with individuals in…

Artificial Intelligence · Computer Science 2009-09-25 A. Borgida , P. F. Patel-Schneider

Building effective human-robot interaction requires robots to derive conclusions from their experiences that are both logically sound and communicated in ways aligned with human expectations. This paper presents a hybrid framework that…

Robotics · Computer Science 2026-02-17 Alberto Olivares-Alarcos , Muhammad Ahsan , Satrio Sanjaya , Hsien-I Lin , Guillem Alenyà

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

As todays world grows with the technology on the other hand it seems to be small with the World Wide Web. With the use of Internet more and more information can be search from the web. When Users fires a query they want relevancy in…

Information Retrieval · Computer Science 2013-11-26 Debajyoti Mukhopadhyay , Sajeeda Shikalgar

In this paper, we introduce a novel interpreting framework that learns an interpretable model based on an ontology-based sampling technique to explain agnostic prediction models. Different from existing approaches, our algorithm considers…

Machine Learning · Computer Science 2020-04-02 Phung Lai , NhatHai Phan , Han Hu , Anuja Badeti , David Newman , Dejing Dou

In this paper we show that subsumption problems in lightweight description logics (such as $\mathcal{EL}$ and $\mathcal{EL}^+$) can be expressed as uniform word problems in classes of semilattices with monotone operators. We use…

Logic in Computer Science · Computer Science 2013-11-14 Viorica Sofronie-Stokkermans

Consequence-based reasoning can be used to construct proofs that explain entailments of description logic (DL) ontologies. In the literature, one can find multiple consequence-based calculi for reasoning in the $\mathcal{EL}$ family of DLs,…

Logic in Computer Science · Computer Science 2025-07-30 Christian Alrabbaa , Stefan Borgwardt , Philipp Herrmann , Markus Krötzsch

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

Reasoning about exceptions in ontologies is nowadays one of the challenges the description logics community is facing. The paper describes a preferential approach for dealing with exceptions in Description Logics, based on the rational…

Artificial Intelligence · Computer Science 2018-07-10 Laura Giordano , Valentina Gliozzi

Entity linking (EL), the task of disambiguating mentions in text by linking them to entities in a knowledge graph, is crucial for text understanding, question answering or conversational systems. Entity linking on short text (e.g., single…

Computation and Language · Computer Science 2021-06-21 Hang Jiang , Sairam Gurajada , Qiuhao Lu , Sumit Neelam , Lucian Popa , Prithviraj Sen , Yunyao Li , Alexander Gray

Semantics based knowledge representations such as ontologies are found to be very useful in automatically generating meaningful factual questions. Determining the difficulty level of these system generated questions is helpful to…

Artificial Intelligence · Computer Science 2017-09-05 Vinu E. , P Sreenivasa Kumar