An Ontological Approach to Analyze the Data Required by a System Quality Scheme

According to IEEE, software quality is the degree to which software possesses a desired combination of attributes. Quality attributes have been of interest to the software community since 1970 and in the past few years this interest has increase. However, still is not clear how product quality should apply in the development process. The need to know what quality characteristics influence a specific entity and which is the information required to cover its measurement is the objective of this work. This paper presents an ontology to document a quality scheme with a specification based on ISO/IEC 25010. This contribution includes rules and queries that help to determine the data required to carry out the measurement process.Sociedad Argentina de Informática e Investigación Operativa (SADIO

An Ontological Approach to Analyze the Data Required by a System Quality Scheme

According to IEEE, software quality is the degree to which software possesses a desired combination of attributes. Quality attributes have been of interest to the software community since 1970 and in the past few years this interest has increase. However, still is not clear how product quality should apply in the development process. The need to know what quality characteristics influence a specific entity and which is the information required to cover its measurement is the objective of this work. This paper presents an ontology to document a quality scheme with a specification based on ISO/IEC 25010. This contribution includes rules and queries that help to determine the data required to carry out the measurement process.Sociedad Argentina de Informática e Investigación Operativa (SADIO

An Ontological Approach to Analyze the Data Required by a System Quality Scheme

According to IEEE, software quality is the degree to which software possesses a desired combination of attributes. Quality attributes have been of interest to the software community since 1970 and in the past few years this interest has increase. However, still is not clear how product quality should apply in the development process. The need to know what quality characteristics influence a specific entity and which is the information required to cover its measurement is the objective of this work. This paper presents an ontology to document a quality scheme with a specification based on ISO/IEC 25010. This contribution includes rules and queries that help to determine the data required to carry out the measurement process.Sociedad Argentina de Informática e Investigación Operativa (SADIO

Toward an Ontology of Commercial Exchange

In this paper we propose an Ontology of Commercial Exchange (OCE) based on Basic Formal Ontology. OCE is designed for re-use in the Industrial Ontologies Foundry (IOF) and in other ontologies addressing different aspects of human social behavior involving purchasing, selling, marketing, and so forth. We first evaluate some of the design patterns used in the Financial Industry Business Ontology (FIBO) and Product Types Ontology (PTO). We then propose terms and definitions that we believe will improve the representation of contractual obligations, sales processes, and their associated documents. A commercial exchange, for instance, involves mutual agreement to reciprocate actions, such as transferring money, performing a service, or transferring goods

AOSD Ontology 1.0 - Public Ontology of Aspect-Orientation

This report presents a Common Foundation for Aspect-Oriented Software Development. A Common Foundation is required to enable effective communication and to enable integration of activities within the Network of Excellence. This Common Foundation is realized by developing an ontology, i.e. the shared meaning of terms and concepts in the domain of AOSD. In the first part of this report, we describe the definitions of an initial set of common AOSD terms. There is general agreement on these definitions. In the second part, we describe the Common Foundation task in detail

Conceptual graph-based knowledge representation for supporting reasoning in African traditional medicine

Although African patients use both conventional or modern and traditional healthcare simultaneously, it has been proven that 80% of people rely on African traditional medicine (ATM). ATM includes medical activities stemming from practices, customs and traditions which were integral to the distinctive African cultures. It is based mainly on the oral transfer of knowledge, with the risk of losing critical knowledge. Moreover, practices differ according to the regions and the availability of medicinal plants. Therefore, it is necessary to compile tacit, disseminated and complex knowledge from various Tradi-Practitioners (TP) in order to determine interesting patterns for treating a given disease. Knowledge engineering methods for traditional medicine are useful to model suitably complex information needs, formalize knowledge of domain experts and highlight the effective practices for their integration to conventional medicine. The work described in this paper presents an approach which addresses two issues. First it aims at proposing a formal representation model of ATM knowledge and practices to facilitate their sharing and reusing. Then, it aims at providing a visual reasoning mechanism for selecting best available procedures and medicinal plants to treat diseases. The approach is based on the use of the Delphi method for capturing knowledge from various experts which necessitate reaching a consensus. Conceptual graph formalism is used to model ATM knowledge with visual reasoning capabilities and processes. The nested conceptual graphs are used to visually express the semantic meaning of Computational Tree Logic (CTL) constructs that are useful for formal specification of temporal properties of ATM domain knowledge. Our approach presents the advantage of mitigating knowledge loss with conceptual development assistance to improve the quality of ATM care (medical diagnosis and therapeutics), but also patient safety (drug monitoring)

Data DNA: The Next Generation of Statistical Metadata

Describes the components of a complete statistical metadata system and suggests ways to create and structure metadata for better access and understanding of data sets by diverse users