Warp 10 is a novel approach to B2B-integration combining concepts from semantic data modeling, Natural Language Processing and Schema Matching to define a consolidated data model termed canonical model. The canonical model is built up semi-automatically and grows in size and complexity upon matching with schemas provided by a business community. The business context of a matching task allows fo...

During the past decade, data warehousing has been widely adopted in the business community. It provides multi-dimensional analyses on cumulated historical business data for helping contemporary administrative decision-makings. Nevertheless, it is believed there is only about 20% information can be extracted from data warehouses concerning numeric data only, the other 80% information is hidden i...

objective: international diabetes organization estimates that there are 285 million people worldwide who suffer from diabetes, and this figure is expected to increase to 450 million in next 20 years. according to statistics issued by the world health organization, diabetes is considered among ten leading causes of death in world and its prevalence in the population is growing.this paper deals w...

During the past decade, data warehousing has been widely adopted in the business community. It provides multidimensional analyses on cumulated historical business data for helping contemporary administrative decision-making. Nevertheless, it is believed that only about 20% information can be extracted from data warehouses concerning numeric data only, the other 80% information is hidden in non-...

Traditional approaches to business process modeling and workflow are based on activity flows (with data often an afterthought) or documents (with processing often an afterthought). In contrast, an emerging approach uses (business) artifacts, that combine data and process in an holistic manner as the basic building block. These correspond to key business entities which evolve as they pass throug...

Traditional approaches to business process modeling and workflow are based on activity flows (with data often an afterthought) or documents (with processing often an afterthought). In contrast, an emerging approach uses (business) artifacts, that combine data and process in an holistic manner as the basic building block. These correspond to key business entities which evolve as they pass throug...

The quality of decision-making process is affected by the quality of information used in the process. Trends in data processing for decision support show that business users need analytical applications which incorporate a variety of data analysis techniques incorporating task-specific knowledge, i.e. that are business task-oriented. Such business analytics applications must be vertically conne...

Multi Criteria Business Intelligence approach (MCBI) aims to enhancement Business Intelligence Applications (BIA) by applying Multi-Criteria Decision Making (MCDM). MCBI approach contributes to improve Business Intelligence Decision Support System (BIDSS) for BIA. Also MCBI approach presents a standard method to evaluate and select business decisions. The recommended business decision is the su...