Involving Domain Experts in Authoring OWL Ontologies

Denaux, Ronald; Dimitrova, Vania; Cohn, Anthony G.; Dolbear, Catherine; Hart, Glen

doi:10.1007/978-3-540-88564-1_1

Cited by 44 publications

(32 citation statements)

References 16 publications

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“…However, prior training by users is required before using the system. Another system (Dimitrova et al, 2008) uses the notion of controlled natural language (Rabbit) for guiding experts for ontology development. Similar to Chaudhri et al (2004) and Clark et al (2001), this system also requires training by users.…”

Section: Related Workmentioning

confidence: 99%

An ontology development approach using concept maps driven by automatic term extraction

Iqbal

Murad

Sharef

2017

IJICT

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A number of ontology engineering methodologies have been proposed to date. Distinct methodologies rely on different techniques and activities for developing ontologies. The concept mapping technique has been recently used for developing ontologies related to different domains. However, the existing approaches using concept mapping do not make use of any automatic term extraction process to ease the overall ontology development process and their evaluation procedures are not robust to specifically meet the need for ontology designs emerging from concept maps. This paper proposes a new approach which uses the concept mapping technique coupled with a term extraction engine. The engine automatically extracts the candidate terms from the competency questions which reduces ontology development time and efforts. Furthermore, considering the importance of evaluation, a robust evaluation procedure is proposed which validates the ontologies at both the formal level and the graphical level.

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Section: Related Workmentioning

confidence: 99%

An ontology development approach using concept maps driven by automatic term extraction

Iqbal

Murad

Sharef

2017

IJICT

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“…Recently a number of NLIs for authoring ontologies have emerged which are tasked with allowing domain experts to participate in the ontology engineering cycle, e.g. [1]. Soantag [14] has proposed an approach for a dialogue-based interaction mapping process where medical domain experts will validate mappings via verbal communication.…”

Section: Related Workmentioning

confidence: 99%

“…The development of user-friendly ontology authoring approaches have been predicted to "lead to a step change in the deployment of the Semantic Web" [1]. However any technology that produces a proliferation of ontologies will lead to an avalanche of semantic interoperability problems unless we simultaneously empower users to resolve semantic mapping tasks themselves.…”

Section: Introductionmentioning

confidence: 99%

User Evaluation Study of a Tagging Approach to Semantic Mapping

Conroy

Brennan

O’Sullivan

et al. 2009

Lecture Notes in Computer Science

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Abstract.A key aspect of semantic interoperability is the semantic mapping process itself. Traditionally, semantic mapping processes conducted by knowledge engineers have been proposed to bridge this gap. However, knowledge engineers alone are unlikely to cope with the ever increasing amount of mapping work required, especially as mappings themselves begin to be specialised for different contexts. One solution is to develop new mapping processes that enable users to participate in the mapping process themselves. In this paper we present an evaluation study of our user-driven tagging approach to the semantic mapping process. In our approach, users actively participate in generating mappings by categorising automatically generated candidate matches presented in natural language over a long time period. In the evaluation study three groups of users generated mappings between their personal ontologies and a sports ontology describing sports news content from RSS feeds. The mapping process was embedded within the users' work environment as a Firefox browser extension. The study is discussed, focusing on whether the mapping process is unintrusive, engaging and simplified for the user. The evaluation results were promising and indicate that people with various levels of expertise could become active in the semantic mapping process.

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“…Three approaches have been proposed so far to solve this problem: error messages [5,10], conceptual authoring [41,12], and predictive editors [48,43,3,27]. Each of them has its own advantages and drawbacks.…”

Section: Introductionmentioning

confidence: 99%

A Principled Approach to Grammars for Controlled Natural Languages and Predictive Editors

Kuhn

2013

J of Log Lang and Inf

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Controlled natural languages (CNL) with a direct mapping to formal logic have been proposed to improve the usability of knowledge representation systems, query interfaces, and formal specifications. Predictive editors are a popular approach to solve the problem that CNLs are easy to read but hard to write. Such predictive editors need to be able to "look ahead" in order to show all possible continuations of a given unfinished sentence. Such lookahead features, however, are difficult to implement in a satisfying way with existing grammar frameworks, especially if the CNL supports complex nonlocal structures such as anaphoric references. Here, methods and algorithms are presented for a new grammar notation called Codeco, which is specifically designed for controlled natural languages and predictive editors. A parsing approach for Codeco based on an extended chart parsing algorithm is presented. A large subset of Attempto Controlled English (ACE) has been represented in Codeco. Evaluation of this grammar and the parser implementation shows that the approach is practical, adequate and efficient.

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Involving Domain Experts in Authoring OWL Ontologies

Cited by 44 publications

References 16 publications

An ontology development approach using concept maps driven by automatic term extraction

An ontology development approach using concept maps driven by automatic term extraction

User Evaluation Study of a Tagging Approach to Semantic Mapping

A Principled Approach to Grammars for Controlled Natural Languages and Predictive Editors

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