A Snapshot of Ontology Evaluation Criteria and Strategies

Abstract

Ontologies are key to information retrieval, semantic integration of datasets, and semantic similarity analyses. Evaluating ontologies (especially defining what constitutes a "good" or "better" ontology) is therefore of central importance for the Semantic Web community. Various criteria have been introduced in the literature to evaluate ontologies, and this article classifies them according to their relevance to the design or the implementation phase of ontology development. In addition, the article compiles strategies for ontology evaluation based on ontologies published until 2017 in two outlets: the Semantic Web Journal, and the Journal of Web Semantics. Gaps and opportunities for future research on ontology evaluation are exposed towards the end of the paper. CCS CONCEPTS • Computing methodologies → Ontology engineering; • Information systems → World Wide Web;

Holistic Reasoning on Quality of Life Dimensions Based on Mobile apps with Ontology

“…As future work, we intend to conclude the ontology model and formulate its relations in more detail. Then, we intend to evaluate the final ontology model by following two strategies that are focused on different set of criteria and are commonly used to evaluate such representations, as better detailed in [Degbelo 2017].…”

Spatial and temporal resolution of geographic information: an observation-based theory

“…The steps followed in this work involve a design stage and an implementation stage. In line with [41], the design stage includes the identification of a motivating scenario, the identification of terms useful to describe the resolution of datasets, and the formal specification of these terms. The design stage results in a logical theory.…”

“…This section presents the practical usefulness of some of the ideas presented in this work. As discussed in [41], practical usefulness is an evaluation criterion of the implementation stage of ontology development, and is demonstrated through one or more applications which use the ontology. The ontology design patterns introduced earlier in Sections Formal specification: resolution of a sensor observation and Alignment to DOLCE: resolution of an observation collection are particularly relevant in this context.…”

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“…In [28], author presents two approaches for ontologies evaluation. The first approach is based on criteria.…”