Analysis of information quality for a usable information system in agriculture domain: a study in the Sri Lankan context

Towards a Usable Ontology: The Identification of Quality Characteristics for an Ontology-Driven Decision Support System

“…Based on the proposed approach, the quality requirements of the system should be elicited from the user needs for the system to achieve quality in use. Thus, the previous empirical studies [33], [69] were adopted, where the researchers have elaborated the essential user needs that are being expected from a DSS developed for commercial farmers who cultivate vegetables in Sri Lanka. Based on that, a set of essential quality requirements were specified with the assistance of domain experts and through several interviews with farmers who use Govi Nena mobile application (https://govinena.lk/).…”

“…For instance, the identified requirements were gradually refined into questions (i.e., Q1, Q2, Q3, Q4, Q5 and Q6). Thereafter, the identified questions were mapped with the corresponding quality characteristics and the appropriate measures for each characteristic were drawn accordingly based on a literature review [15], [33], [43] (Table IV).…”

“…This implies that the information received from the ontology should be true (Q3) and believable by users in a specific context of use (Q4) [70]. Thus, the questions Q3 and Q4 indicate the requirement of maintaining the information characteristics accuracy [11] and credibility respectively [11], [33], [62]. The requirement c highlights the need of presenting the information based on different localities (i.e., information localization) enabling users to easily understand.…”

“…Consequently, the essential quality characteristics which could be derived from the user needs of the given context such as domain completeness, external consistency, and conciseness have not been taken into account in developing the ontology. Thereby, at the end of the development, the ontology was unable to successfully answer the user queries [33].…”

Effect of market information quality, sharing and utilisation on the innovation behaviour of smallholder pig producers

“…Quality information has been defined as that with objectivity in presentation and substance, utility and integrity or security (Jonsson & Myrelid, 2016;USPTO, 2014). Information quality is a multi-dimension construct with four domains including intrinsic, accessibility, contextual, and representational (Floridi, 2013;Wilson et al, 2021). These domains are broken down into thirteen attributes which are; i) accuracy, objectivity, and believability for the intrinsic dimension, ii) access and security for accessibility dimension, iii) relevance, value-added, timeliness, completeness and amount of data for the contextual dimension, iv) interpretability, ease of understanding, concise representation and consistent representation for the representational dimension (Floridi, 2013;Kumar & Jakhar, 2010;Ofuoku et al, 2008).…”