With an increase in the number of Linked Open Data datasets, insufficient interlinking quality can lead to a decrease in overall data quality. Therefore, it is necessary to keep the interlinking quality as high as possible. One of the main ways to link datasets is to use owl:sameAs links, i.e. to indicate that two things are the same. But with its strict semantics, there is a lot of misuse of owl:sameAs in the wild. Indeed, identity is often relative and depends on the context of use. We therefore propose an approach that enables considering the characteristics of involved datasets to interlink datasets thanks to owl:sameAs statements. The experimental results performed on real-world datasets show that the proposed approach is promising.

The accuracy and relevance of Business Intelligence & Analytics (BI&A) rely on the ability to bring high data quality to the data warehouse from both internal and external sources using the ETL process. The latter is complex and time-consuming as it manages data with heterogeneous content and diverse quality problems. Ensuring data quality requires tracking quality defects along the ETL process. In this paper, we present the main ETL quality characteristics. We provide an overview of the existing ETL process data quality approaches. We also present a comparative study of some commercial ETL tools to show how much these tools consider data quality dimensions. To illustrate our study, we carry out experiments using an ETL dedicated solution (Talend Data Integration) and a data quality dedicated solution (Talend Data Quality). Based on our study, we identify and discuss quality challenges to be addressed in our future research.

Digital music scores are a way to present music notation and lack of semantic information useful for musicology purposes in order to manipulate music concepts. We propose a general approach to extend score encodings with semantic annotations. It relies on an ontology of music notation designed to integrate semantic music elements either extracted or produced by a knowledge process. We illustrate the whole mechanism by extracting RDF facts based on the identification of dissonances in Renaissance counterpoint.

The emergence of new information technologies has contributed to the appearance of a new form of knowledge sharing, particularly with the use of the Internet. This gave a rise to the notion of Web Accessibility. The problem is that Accessibility is often reduced to a set of summative estimation. In that case, the evaluation of the conformance is done at the end of the process. Based on a literature review and a case study, this paper presents a method for web sites developments which takes into account accessibility expectations of end-users.

Conceptual models are of prime importance to ensure a high level of quality in designing information systems. It has been witnessed that the majority of information systems (IS) change requests result due to deficient functionalities in the information systems. Therefore, a good analysis and design method should guarantee that conceptual models are correct and complete and easy to understand, as they are the communicating mediator between the users and the development team. Similarly, if models are complex then their extension or the incorporation of missing requirements gets very difficult for the designers. Our approach evaluates the conceptual models on multiple levels of granularity in addition to providing the corrective actions or transformations for improvement. We propose quality patterns to help the non-expert users in evaluating their models with respect to their quality goal. This paper also illustrates our approach by describing an evaluation and improvement process using a case study.

Frequently the behaviour of an information system is functionally correct, but it does not meet some quality criteria, such as completeness, consistency, and usability. One way to enhance the capability of an information system is to consider its conceptual model quality as well as its functional behaviour. Conceptual model quality can be defined as a set of perceivable characteristics expressed with quantifiable parameters. The aim of this empirical investigation is to evaluate the quality of different potential conceptual models of the same universe of discourse by different Information Systems (IS) stakeholders. This paper describes: a) a set of quality factors (clarity, simplicity, expressiveness, minimality) applied to different versions of entity-relationship (ER) conceptual schemas, b) an approach enabling a comprehensive comparison of the conceptual schemas, c) an experimentation leading to the evaluation of the same schemas by IS stakeholders such as designers, end-users, and students, based on a sample of about 120 observations using different statistical methods. First results indicate that there exists a strong independence between the IS stakeholders and the quality factors used. A second result reveals a significant difference between groups of respondents in their ways to perceive conceptual schemaspsila quality. Based on our experiment, we are able to identify quality factors relevant to different groups of stakeholders, depending on several dimensions, such as their professional experience, and/or their specialization degree.