Towards natural language question generation for the validation of ontologies and mappings

Abacha, Asma Ben; Reis, Júlio Cesar dos; Mrabet, Yassine; Pruski, Cédric; Silveira, Marcos Da

doi:10.1186/s13326-016-0089-6

Cited by 8 publications

(6 citation statements)

References 43 publications

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“…Although the validation approach proposed by [18] is a very important approach that allows the validation of concepts, relationships and axiom components of ontology, in fact it has been evaluated experimentally on three ontologies of different methods of construction but this approach presents some lacuna:…”

Section: ) Discussionmentioning

confidence: 99%

“…a) An approach for validating the content of an ontology by a system based questions/answers [18]: Authors have proposed a semi-automatic approach called SAVANT based on the generation of questions to validate their ontologies. The first step is to automatically generate a list of Boolean questions from the ontology being validated.…”

Section: ) Main Approaches Of Ontolygy Validationmentioning

confidence: 99%

See 1 more Smart Citation

“Onto-Computer-Project”, a Computer Project Domain Ontology : Construction and Validation

Mejri¹,

Hanafi²,

Ghezala³

2020

IJACSA

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Ontologies, nowadays, play a primordial role in the representation, the re-use and the sharing of knowledge of a well given domain in a consensual and explicit way more precisely in the computing field. It is in this context that we have proposed a domain ontology baptised onto-computer-project which presents the key to our research goal. This essential goal is to arrive at a final step to elaborate a knowledge based system for computer projects reusing. The aimed system is essentially based on the construction of a memory projects. This memory projects could be defined as a collection of historical and achieved projects around the sphere of computer. This sphere is so wide including many subfields beginning at the database, software engineering fields and arriving at the fields of artificial intelligence, computer vision and so on. This research work requires at first to construct a well-defined ontology in the way to structure and to unify vocabulary often shared by multi actors in the domain of computer projects. To concretize this goal, our paper will describe a construction approach for the proposed domain ontology which is mainly based on an existing methodology named "methontology". The proposed ontology construction approach, which is composed of seven steps, is the result of a comparative study between some ontology construction approaches belonging to different categories of methodology. In fact, we can distinguish four main categories of ontology development approaches: ontology construction approaches from zero, text-based construction approaches, building approaches based on the reuse of already existing ontologies, and crowd souring-based approaches. In our research work, we are interested by the approach of building ontology from zero. Indeed, the construction of the proposed ontology follows an autonomous approach which is not based on any other existing ontology or the updating of an already constructed ontology. In addition, in this paper we are interested by the problem of validating the content of domain ontology and in this context we have proposed an incremental approach for validating the proposed ontology which is composed of six steps. In this context we have studied some ontology validation approaches: those which are questionnaire based, others based on question answering. The problem here that all approaches studied are single actor approaches where a single validation actor can validate the entire ontology and this by applying the semantic and the structural validation definitively with no return. The main originality of our validation approach consists essentially of three criteria: the incremental validation, the multi-intervention, and the respecting of the "V" cycle. In fact, the passage from one validation step to another results in an update of the initial ontology and this by the intervention of three experts (project management expert, a project computer expert and a specialist in ontology engineering). Our proposal approach requires a feedback between all the validation phase...

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Section: ) Discussionmentioning

confidence: 99%

Section: ) Main Approaches Of Ontolygy Validationmentioning

confidence: 99%

“Onto-Computer-Project”, a Computer Project Domain Ontology : Construction and Validation

Mejri¹,

Hanafi²,

Ghezala³

2020

IJACSA

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“…An approach for the validation of ontologies which abstracts the complexity of formal languages by using a set of questions and answers to which the expert is subjected has been proposed in (Abacha et al [2016]). Its main purpose is to validate the conceptualization of the domain.…”

Section: Related Work On Automatic Generation Of Questionsmentioning

confidence: 99%

Automatic generation of questions from DBpedia

Rocha

Faron-Zucker

Giboin

et al. 2020

IJCEELL

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The production of Educational quizzes is a time-consuming task that can be automated by taking advantage of existing knowledge bases available on the Web of Linked Open Data (LOD) such as DBpedia. For these quizzes to be useful to learners, their questions must be generated in compliance with the knowledge and skills necessary to master for each subject and school year according to the official educational standards. We present an approach that exploits structured knowledge bases that contain the knowledge and skills, from which it selects a set of DBpedia resources relevant to a specific school subject and year. This set of resources is enriched with additional related resources, through the NEFCE heuristic. Finally, question generation strategies are applied to the graph generated with this set of resulting resources. Likewise, we provide an evaluation of two knowledge bases and of the proposed NEFCE heuristics.

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“…There is the potential to explore other, more complex, types of question generation procedures from the ontology. Approaches have also utilized online questions for ontology-driven generation, but this is less generalizable (Abacha et al, 2016).…”

Section: Related Workmentioning

confidence: 99%

Multiple Choice Question Generation Utilizing An Ontology

Stasaski¹,

Hearst²

2017

Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications

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Ontologies provide a structured representation of concepts and the relationships which connect them. This work investigates how a pre-existing educational Biology ontology can be used to generate useful practice questions for students by using the connectivity structure in a novel way. It also introduces a novel way to generate multiple-choice distractors from the ontology, and compares this to a baseline of using embedding representations of nodes.An assessment by an experienced science teacher shows a significant advantage over a baseline when using the ontology for distractor generation. A subsequent study with three science teachers on the results of a modified question generation algorithm finds significant improvements. An in-depth analysis of the teachers' comments yields useful insights for any researcher working on automated question generation for educational applications.

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Towards natural language question generation for the validation of ontologies and mappings

Cited by 8 publications

References 43 publications

“Onto-Computer-Project”, a Computer Project Domain Ontology : Construction and Validation

“Onto-Computer-Project”, a Computer Project Domain Ontology : Construction and Validation

Automatic generation of questions from DBpedia

Multiple Choice Question Generation Utilizing An Ontology

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