The large growth in data sources relevant to public health has not been matched by a growth in human resource for producing intelligence to support decisions or generate new insights. There is a need to bring scarce public health expertise into closer alignment with data and data processing methods to support timely public health analysis. The difficulties of developing and sharing this experti...

Advances in the Semantic Web technologies present unprecedented opportunities for exploiting multiple related data sources to discover useful knowledge in many application domains. We have precisely formulated the problem of learning classifiers from a collection of several related ontology extended data sources, which make explicit (the typically implicit) ontologies associated with the data s...

The difficulty of timely retrieval of useful information from heterogeneous data sources is a major cause of low productivity in the construction industry. The goal of this research is to provide a new methodology to handle the data-heterogeneity problems encountered in a construction project. This research proposes a tree-structured product model, which binds design knowledge, cost data and sc...

Daily work with information spread across multiple data sources is still a time consuming task when it comes to managing, searching and securely distributing to dedicated recipients. The paper describes the generation of a homogeneous knowledge representation extracted from heterogeneous personal data sources. Used for unified navigation through personal knowledge it assists the user in retriev...

A number of semantic annotation efforts have produced a variety of annotated corpora, capturing various aspects of semantic knowledge in different formalisms. Due to to the cost of these annotation efforts and the relatively small amount of semantically annotated corpora, we argue it is advantageous to be able to leverage as much annotated data as possible. This work presents a preliminary expl...

BACKGROUND Consensus methodologies are often used to create evidence-based measures of healthcare quality because they incorporate both available evidence and expert opinion to fill gaps in the knowledge base. However, there are limited studies of the key domains that are considered during panel discussion when developing quality indicators. METHODS We performed a qualitative content analysis...