Despite the importance of analytical tools to organizations, there are challenges that should be tackled in order to leverage the impact of those tools in the decision making process. These challenges include difficulties to extend those tools according to the business requirements and lack of flexibility to customize information presentation according to users' profile. We argue that these issues are due to the lack of integration of business' semantics into the foundations of analytical tools. In this paper, we describe how semantic Web technologies and business semantics were applied on the conception of an architecture for analytical tools. Our ultimate goals are to contribute to the resolution of the above issues and support decision m...
Semantic Web technology is being increasingly applied in a large spectrum of applications in which d...
The Semantic Web vision aims at building a "web of data", where applications may share their data on...
In order to face today's challenges in product development, like product complexity, variability and...
Despite the importance of analytical tools to organisations, they still lack the inference power nee...
AbstractThis paper discusses the potential advantages and pitfalls of using semantic web technologie...
This chapter describes the convergence of two of the most influential technologies in the last decad...
Under today’s highly complex and dynamic business environment, external data (most often issued from...
Abstract. The Semantic Web shares many goals with Decision Support Systems (DSS), e.g., being able t...
Nowadays Decision Support Systems deal with impressive amount of information. Current Decision Suppo...
This paper treats with examples the practical use of Semantic Web technologies for describing busine...
Semantic Web technologies are intertwined with decision-making processes. In this paper the general...
Semantics is seen as the key ingredient in the next phase of the Web infrastructure as well as the n...
This paper tries to identify some methodological consideration in building business ontologies for d...
This paper describes the convergence of some of the most influential technologies in the last few ye...
This book examines recent developments in semantic systems that can respond to situations and enviro...
Semantic Web technology is being increasingly applied in a large spectrum of applications in which d...
The Semantic Web vision aims at building a "web of data", where applications may share their data on...
In order to face today's challenges in product development, like product complexity, variability and...
Despite the importance of analytical tools to organisations, they still lack the inference power nee...
AbstractThis paper discusses the potential advantages and pitfalls of using semantic web technologie...
This chapter describes the convergence of two of the most influential technologies in the last decad...
Under today’s highly complex and dynamic business environment, external data (most often issued from...
Abstract. The Semantic Web shares many goals with Decision Support Systems (DSS), e.g., being able t...
Nowadays Decision Support Systems deal with impressive amount of information. Current Decision Suppo...
This paper treats with examples the practical use of Semantic Web technologies for describing busine...
Semantic Web technologies are intertwined with decision-making processes. In this paper the general...
Semantics is seen as the key ingredient in the next phase of the Web infrastructure as well as the n...
This paper tries to identify some methodological consideration in building business ontologies for d...
This paper describes the convergence of some of the most influential technologies in the last few ye...
This book examines recent developments in semantic systems that can respond to situations and enviro...
Semantic Web technology is being increasingly applied in a large spectrum of applications in which d...
The Semantic Web vision aims at building a "web of data", where applications may share their data on...
In order to face today's challenges in product development, like product complexity, variability and...