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Ontology authoring is a complex process, where commonly the automated reasoner is invoked for verification of newly introduced changes, therewith amounting to a time-consuming test-last approach. Test-Driven Development (TDD) for ontology…

Artificial Intelligence · Computer Science 2018-12-17 C. Maria Keet , Kieren Davies , Agnieszka Lawrynowicz

Ontology development relates to software development in that they both involve the production of formal computational knowledge. It is possible, therefore, that some of the techniques used in software engineering could also be used for…

Artificial Intelligence · Computer Science 2015-05-18 Jennifer D. Warrender , Phillip Lord

We introduce ontology-mediated planning, in which planning problems are combined with an ontology. Our formalism differs from existing ones in that we focus on a strong separation of the formalisms for describing planning problems and…

Artificial Intelligence · Computer Science 2024-08-15 Tobias John , Patrick Koopmann

Test-driven development (TDD) is the practice of writing tests first and coding later, and the proponents of TDD expound its numerous benefits. For instance, given an issue on a source code repository, tests can clarify the desired behavior…

Software Engineering · Computer Science 2024-12-05 Toufique Ahmed , Martin Hirzel , Rangeet Pan , Avraham Shinnar , Saurabh Sinha

In this paper we propose facilitating ontology development by constant evaluation of steps in the process of ontology development. Existing methodologies for ontology development are complex and they require technical knowledge that…

Software Engineering · Computer Science 2018-07-12 Dejan Lavbič , Marjan Krisper

Formal ontologies are axiomatizations in a logic-based formalism. The development of formal ontologies, and their important role in the Semantic Web area, is generating considerable research on the use of automated reasoning techniques and…

Artificial Intelligence · Computer Science 2019-01-31 Javier Álvez , Montserrat Hermo , Paqui Lucio , German Rigau

Recent Large Language Models (LLMs) have demonstrated significant capabilities in generating code snippets directly from problem statements. This increasingly automated process mirrors traditional human-led software development, where code…

Software Engineering · Computer Science 2024-10-23 Noble Saji Mathews , Meiyappan Nagappan

The ontology engineering process is complex, time-consuming, and error-prone, even for experienced ontology engineers. In this work, we investigate the potential of Large Language Models (LLMs) to provide effective OWL ontology drafts…

Nowadays many software development frameworks implement Behavior-Driven Development (BDD) as a mean of automating the test of interactive systems under construction. Automated testing helps to simulate user's action on the User Interface…

Human-Computer Interaction · Computer Science 2019-05-27 Thiago Rocha , Jean-Luc Hak , Marco Winckler

Context: Test-driven development (TDD) is a widely employed software development practice that involves developing test cases based on requirements prior to writing the code. Although various methods for automated test case generation have…

Software Engineering · Computer Science 2025-04-02 Saranya Alagarsamy , Chakkrit Tantithamthavorn , Wannita Takerngsaksiri , Chetan Arora , Aldeida Aleti

The upcoming technology support for semantic web promises fresh directions for Software Engineering community. Also semantic web has its roots in knowledge engineering that provoke software engineers to look for application of ontology…

Software Engineering · Computer Science 2013-07-17 Farheen Siddiqui , M. Afshar Alam

Software testing is a prime factor in software industry. Besides knowing the importance of testing, only limited time is allocated for teaching it. It will be more efficient if testing is taught simultaneously with programming foundations.…

Artificial Intelligence · Computer Science 2013-02-22 A. Anandaraj , P. Kalaivani , V. Rameshkumar

While classical planning languages make the closed-domain and closed-world assumption, there have been various approaches to extend those with DL reasoning, which is then interpreted under the usual open-world semantics. Current approaches…

Artificial Intelligence · Computer Science 2023-08-17 Tobias John , Patrick Koopmann

Authoring of OWL-DL ontologies is intellectually challenging and to make this process simpler, many systems accept natural language text as input. A text-based ontology authoring approach can be successful only when it is combined with an…

Artificial Intelligence · Computer Science 2017-10-02 Kevin Alex Mathews , P Sreenivasa Kumar

OWL (Web Ontology Language) ontologies, which are able to represent both relational and type facts as standard knowledge graphs and complex domain knowledge in Description Logic (DL) axioms, are widely adopted in domains such as healthcare…

Artificial Intelligence · Computer Science 2025-02-05 Hui Yang , Jiaoyan Chen , Uli Sattler

Test-driven development (TDD) is a programming technique in which the tests are written prior to the source code. It is proposed that TDD is one of the most fundamental practices enabling the development of software in an agile and…

Software Engineering · Computer Science 2017-11-15 Maria Siniaalto , Pekka Abrahamsson

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

Building an ontology is not only a time-consuming process, but it is also confusing, especially for beginners and the inexperienced. Although ontology developers can take the help of domain experts in building an ontology, they are not…

Artificial Intelligence · Computer Science 2022-02-07 Pramit Bhattacharyya , Raghava Mutharaju

Concept Induction refers to the problem of creating complex Description Logic class descriptions (i.e., TBox axioms) from instance examples (i.e., ABox data). In this paper we look particularly at the case where both a set of positive and a…

Artificial Intelligence · Computer Science 2018-12-11 Md Kamruzzaman Sarker , Pascal Hitzler

Rule-based reasoning over natural language input arises in domains where decisions must be auditable and justifiable: clinical protocols specify eligibility criteria in prose, evidence rules define admissibility through textual conditions,…

Artificial Intelligence · Computer Science 2026-01-06 Albert Sadowski , Jarosław A. Chudziak
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