The aim of the experiment is to put the domainand implementationindependent theory of granularity to the test with the subject domain of human infectious diseases. After determining the data sources, defining the model, and data manipulation operators, the granular perspectives and their levels were defined and contents added. Subsequently, granular information retrieval is tested for cholera a...

OBJECTIVES Rare disease research requires a broad range of disease-related information for the discovery of causes of genetic disorders that are maladies caused by abnormalities in genes or chromosomes. A rarity in cases makes it difficult for researchers to elucidate definite inception. This knowledge base will be a major resource not only for clinicians, but also for the general public, who a...

BACKGROUND This is a 2-year study to assess the early impacts of a new grocery store intervention in a former food desert. OBJECTIVE The purpose of the study is to understand the early health effects of the introduction of a large-scale food and nutrition-focused community-based population health intervention, the Good Food Junction (GFJ) Cooperative Store, in a geographically bounded group o...

Distributed Data Mining is the process of extracting hidden knowledge from distributed data sources. A number of DDM architectures are proposed during the last few years. Recently, Optimized Incremental Knowledge Integration Distributed Data Mining model is proposed. It is a mobile-agent based model that overcomes the drawbacks of the traditional models. In this paper, the classification mining...

Data management in Peer Data Management Systems (PDMS) is a challenging problem considering the excessive number of peers, their autonomous nature, and the heterogeneity of their schemas. To help matters, semantic knowledge in the form of ontologies has proven to be a helpful support for the techniques used for managing data in such systems. Ontologies can be used, for instance, to represent th...

This paper examines Action Research into School Exclusion (Project ARISE), a twoyear research partnership between K-12 students and university researchers. Based on the principles of participatory action research (PAR), the project intentionally brought together university researchers, K-12 students, and pre-service teachers to bridge research and practice for the purpose of improving learning ...

On the surface, HCI mostly discusses the interaction styles of individual applications. In a heterogeneous information interchanging landscape across the systems, knowledge representation of linked data crossing the subject domains often creates deeper level challenges for users to navigate and discover effectively. With rapid expansion in data size, diversity and speed from different knowledge...

Semantic mediation based on ontologies has been proposed as a method to achieve integration in multi-disciplinary and multi-scale integrated assessment tools. In the development of an integrated assessment tool, SEAMLESS-IF, agricultural models, data sources, scenarios and indicators had to be integrated in one conceptual schema, providing the shared definition of concepts and their relationshi...

Article history: Received 20 April 2009 Received in revised form 3 August 2009 Accepted 18 September 2009 The explosive growth of the Internet has led to a dramatic increase in data sources for (competitive) technology intelligence. Appropriate implementation and use of IT tools to gather and analyze these data is of key importance for the creation of actionable technology intelligence. A strat...