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Flexible querying of DB allows to extend DBMS in order to support imprecision and flexibility in queries. Flexible queries use vague and imprecise terms which have been defined as fuzzy sets. However, there is no consensus on memberships…

Databases · Computer Science 2020-05-11 Narjes Hachani Gharbi

Capability ontologies are increasingly used to model functionalities of systems or machines. The creation of such ontological models with all properties and constraints of capabilities is very complex and can only be done by ontology…

Artificial Intelligence · Computer Science 2024-10-21 Luis Miguel Vieira da Silva , Aljosha Köcher , Felix Gehlhoff , Alexander Fay

In our experience, some ontology users find it much easier to convey logical statements using rules rather than OWL (or description logic) axioms. Based on recent theoretical developments on transformations between rules and description…

Artificial Intelligence · Computer Science 2018-08-31 Md. Kamruzzaman Sarker , David Carral , Adila A. Krisnadhi , Pascal Hitzler

The Multilingual Semantic Web has been in focus for over a decade. Multilingualism in Linked Data and RDF has shown substantial adoption, but this is unclear for ontologies since the last review 15 years ago. One of the design goals for OWL…

Artificial Intelligence · Computer Science 2022-10-07 Frances Gillis-Webber , C. Maria Keet

In semantic technologies, the shared common understanding of the structure of information among artifacts (people or software agents) can be realized by building an ontology. To do this, it is imperative for an ontology builder to answer…

Artificial Intelligence · Computer Science 2015-09-21 Thabet Slimani

Federated learning (FL) is a powerful Machine Learning (ML) paradigm that enables distributed clients to collaboratively learn a shared global model while keeping the data on the original device, thereby preserving privacy. A central…

Machine Learning · Computer Science 2024-04-25 Yi Hu , Hanchi Ren , Chen Hu , Jingjing Deng , Xianghua Xie

In this paper, we introduce OWLAPY, a comprehensive Python framework for OWL ontology engineering. OWLAPY streamlines the creation, modification, and serialization of OWL 2 ontologies. It uniquely integrates native Python-based reasoners…

Software Engineering · Computer Science 2025-11-12 Alkid Baci , Luke Friedrichs , Caglar Demir , Axel-Cyrille Ngonga Ngomo

Ontologies facilitate the integration of heterogeneous data sources by resolving semantic heterogeneity between them. This research aims to study the possibility of generating a domain conceptual model from a given ontology with the vision…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Haya El-Ghalayini , Mohammed Odeh , Richard McClatchey , Tony Solomonides

Generating vector representations (embeddings) of OWL ontologies is a growing task due to its applications in predicting missing facts and knowledge-enhanced learning in fields such as bioinformatics. The underlying semantics of OWL…

Logic in Computer Science · Computer Science 2024-11-07 Fernando Zhapa-Camacho , Robert Hoehndorf

Service-oriented computing (SOC) is an interdisciplinary paradigm that revolutionizes the very fabric of distributed software development applications that adopt service-oriented architectures (SOA) can evolve during their lifespan and…

Information Retrieval · Computer Science 2013-06-07 Benaboud Rohallah , Maamri Ramdane , Sahnoun Zaidi

Semantic annotation is fundamental to deal with large-scale lexical information, mapping the information to an enumerable set of categories over which rules and algorithms can be applied, and foundational ontology classes can be used as a…

Computation and Language · Computer Science 2018-06-21 Vivian S. Silva , André Freitas , Siegfried Handschuh

Ontologies provide features like a common vocabulary, reusability, machine-readable content, and also allows for semantic search, facilitate agent interaction and ordering & structuring of knowledge for the Semantic Web (Web 3.0)…

Information Retrieval · Computer Science 2017-09-08 Monika Rani , Amit Kumar Dhar , O. P. Vyas

A fuzzy theoretic analytical approach was recently introduced that leads to efficient and robust models while addressing automatically the typical issues associated to parametric deep models. However, a formal conceptualization of the fuzzy…

Machine Learning · Computer Science 2022-06-13 Mohit Kumar , Bernhard A. Moser , Lukas Fischer , Bernhard Freudenthaler

End users of recent biomedical information systems are often unaware of the storage structure and access mechanisms of the underlying data sources and can require simplified mechanisms for writing domain specific complex queries. This…

Databases · Computer Science 2008-12-16 Kamran Munir , Mohammed Odeh , Richard McClatchey

An intelligent robot agent based on domain ontology, machine learning mechanism, and Fuzzy Markup Language (FML) for students and robot co-learning is presented in this paper. The machine-human co-learning model is established to help…

Web Ontology Language (OWL) reasoners are used to infer new logical relations from ontologies. While inferring new facts, these reasoners can be further optimized, e.g., by properly ordering disjuncts in disjunction expressions of…

Artificial Intelligence · Computer Science 2019-04-23 Razieh Mehri , Volker Haarslev , Hamidreza Chinaei

To exploit the Web Ontology Language OWL as an answer set programming (ASP) language, we introduce the notion of bounded model semantics, as an intuitive and computationally advantageous alternative to its classical semantics. We show that…

Programming Languages · Computer Science 2015-11-04 Sarah Alice Gaggl , Sebastian Rudolph , Lukas Schweizer

We introduce the task of out-of-order membership to a formal language L, where the letters of a word w are revealed one by one in an adversarial order. The length |w| is known in advance, but the content of w is streamed as pairs (i, w[i]),…

Formal Languages and Automata Theory · Computer Science 2026-05-11 Antoine Amarilli , Sebastien Labbe , Charles Paperman

Despite the large number of patients in Electronic Health Records (EHRs), the subset of usable data for modeling outcomes of specific phenotypes are often imbalanced and of modest size. This can be attributed to the uneven coverage of…

Machine Learning · Computer Science 2021-03-25 Mohamed Ghalwash , Zijun Yao , Prithwish Chakraborty , James Codella , Daby Sow

The concept of a fuzzy number is generalized to the case of a finite carrier set of partially ordered elements, more precisely, a lattice, when a membership function also takes values in a partially ordered set (a lattice). Zadeh's…

Artificial Intelligence · Computer Science 2022-08-15 Dmitry Maximov
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