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Related papers: 'Just Enough' Ontology Engineering

200 papers

Internship assignment is a complicated process for universities since it is necessary to take into account a multiplicity of variables to establish a compromise between companies' requirements and student competencies acquired during the…

Artificial Intelligence · Computer Science 2017-01-19 Abir M 'Baya , Jannik Laval , Nejib Moalla , Yacine Ouzrout , Abdelaziz Bouras

We propose a novel framework to facilitate the on-demand design of data-centric systems by exploiting domain knowledge from an existing ontology. Its key ingredient is a process that we call focusing, which allows to obtain a schema for a…

Logic in Computer Science · Computer Science 2019-04-02 Tomasz Gogacz , Víctor Gutiérrez-Basulto , Yazmín A. Ibáñez-García , Filip Murlak , Magdalena Ortiz , Mantas Šimkus

As semantically-enabled applications require high-quality ontologies, developing and maintaining ontologies that are as correct and complete as possible is an important although difficult task in ontology engineering. A key step is ontology…

Artificial Intelligence · Computer Science 2023-06-01 Patrick Lambrix

There is growing acknowledgement within the software engineering community that a theory of software development is needed to integrate the myriad methodologies that are currently popular, some of which are based on opposing perspectives.…

Software Engineering · Computer Science 2021-03-22 Diana Kirk , Stephen G. MacDonell

Modern information systems are changing the idea of "data processing" to the idea of "concept processing", meaning that instead of processing words, such systems process semantic concepts which carry meaning and share contexts with other…

Computation and Language · Computer Science 2018-11-09 Roger Granada , Renata Vieira , Cassia Trojahn , Nathalie Aussenac-Gilles

Ontology engineering (OE) in large projects poses a number of challenges arising from the heterogeneous backgrounds of the various stakeholders, domain experts, and their complex interactions with ontology designers. This multi-party…

Knowledge-based economy forces companies in the nation to group together as a cluster in order to maintain their competitiveness in the world market. The cluster development relies on two key success factors which are knowledge sharing and…

Artificial Intelligence · Computer Science 2008-12-18 Pradorn Sureephong , Nopasit Chakpitak , Yacine Ouzrout , Abdelaziz Bouras

Ontology engineering is a hard and error-prone task, in which small changes may lead to errors, or even produce an inconsistent ontology. As ontologies grow in size, the need for automated methods for repairing inconsistencies while…

Artificial Intelligence · Computer Science 2017-11-10 Nicolas Troquard , Roberto Confalonieri , Pietro Galliani , Rafael Penaloza , Daniele Porello , Oliver Kutz

This paper is based on and advocates the trend in software engineering of extending the use of software patterns as means of structuring solutions to software development problems (be they motivated by best practice or by company interests…

Software Engineering · Computer Science 2007-05-23 Jean-Marc Rosengard , Marian Ursu

SEMAT/OMG Essence provides a powerful Language and a Kernel for describing software development processes. How can it be tweaked to apply it to systems engineering methods description? We must harmonize Essence and various systems…

Software Engineering · Computer Science 2015-02-04 Anatoly Levenchuk

This paper argues that certain ontology design problems are profitably addressed by treating ontologies as theories and by defining a set of operations that create new ontologies, including their constraints, out of other ontologies. The…

Artificial Intelligence · Computer Science 2018-09-12 Marco A. Casanova , Rômulo Magalhães

The study proposes a framework of ONTOlogy-based Group Decision Support System (ONTOGDSS) for decision process which exhibits the complex structure of decision-problem and decision-group. It is capable of reducing the complexity of problem…

Artificial Intelligence · Computer Science 2011-07-18 Junyi Chai , James N. K. Liu

In theory, ontology-based process modelling (OBPM) bares great potential to extend business process management. Many works have studied OBPM and are clear on the potential amenities, such as eliminating ambiguities or enabling advanced…

Artificial Intelligence · Computer Science 2021-07-14 Carl Corea , Michael Fellmann , Patrick Delfmann

Our technologies complexify our environments. Thus, new technologies need to deal with more and more complexity. Several efforts have been made to deal with this complexity using the concept of self-organization. However, in order to…

Adaptation and Self-Organizing Systems · Physics 2007-05-23 Carlos Gershenson

The introduction of automated vehicles without permanent human supervision demands a functional system description, including functional system boundaries and a comprehensive safety analysis. These inputs to the technical development can be…

Artificial Intelligence · Computer Science 2018-04-25 Gerrit Bagschik , Till Menzel , Markus Maurer

Ontology development methodologies emphasise knowledge gathering from domain experts and documentary resources, and knowledge representation using an ontology language such as OWL or FOL. However, working ontologists are often surprised by…

Artificial Intelligence · Computer Science 2023-01-11 Fabian Neuhaus , Janna Hastings

Despite rapid progress, most of the educational technologies today lack a strong instructional design knowledge basis leading to questionable quality of instruction. In addition, a major challenge is to customize these educational…

Computers and Society · Computer Science 2018-02-14 Sridhar Chimalakonda , Kesav V. Nori

The article presents an overview of current specialized ontology engineering tools, as well as texts' annotation tools based on ontologies. The main functions and features of these tools, their advantages and disadvantages are discussed. A…

Artificial Intelligence · Computer Science 2018-02-21 V. Yu. Velychko , K. S. Malakhov , V. V. Semenkov , A. E. Strizhak

Amid the recent uptake of Generative AI, sociotechnical scholars and critics have traced a multitude of resulting harms, with analyses largely focused on values and axiology (e.g., bias). While value-based analyses are crucial, we argue…

Human-Computer Interaction · Computer Science 2025-04-07 Nava Haghighi , Sunny Yu , James Landay , Daniela Rosner

Small wind projects encounter difficulties to be efficiently deployed, partly because wrong way data and information are managed. Ontologies can overcome the drawbacks of partially available, noisy, inconsistent, and heterogeneous data…

Artificial Intelligence · Computer Science 2015-10-13 Adrian Groza