Artifact Sampling in Experimental Conceptual Modeling Research

Lukyananko, Roman; Parsons, Jeffrey; Samuel, Binny M.

doi:10.1007/978-3-030-01391-2_25

Cited by 1 publication

(1 citation statement)

References 14 publications

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“…Related Work. In the last few years, the focus of empirical studies dedicated to conceptual modelling has ranged from works on tools based on CM [10], to process mining [1] and to artifact sampling [5]. A broad study has compared traditional conceptual modeling with ontology-driven conceptual modeling [9].…”

Section: Introductionmentioning

confidence: 99%

Exploiting Conceptual Modeling for Searching Genomic Metadata: A Quantitative and Qualitative Empirical Study

Bernasconi

Canakoglu

Ceri

2019

Lecture Notes in Computer Science

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Providing a common data model for the metadata of several heterogenous genomic data sources is hard, as they do not share any standard or agreed practice for metadata description. Two years ago we managed to discover a subset of common metadata present in most sources and to organize it as a smart genomic conceptual model (GCM); the model has been instrumental to our efforts in the development of a major software pipeline for data integration. More recently, we developed a user-friendly search interface, based on a simplified version of GCM. In this paper, we report our evaluation of the effectiveness of this new user interface. Specifically, we present the results of a compendious empirical study to answer the research question: How well is such a simple interface understood by a standard user? The target of this study is a mixed population, composed by biologists, bioinformaticians and computer scientists. The result of our empirical study shows that the users were successful in producing search queries starting from their natural language description, as they did it with good accuracy and small error rate. The study also shows that most users were generally satisfied; it provides indications on how to improve our search system and how to continue our effort in integration of genomic sources. We are consequently adapting the user interface, that will be soon opened to public use.

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