Semantic Integration in Biomedicine

Using Semantic Web Services to Integrate Data and Processes from Different Web Portals

Integration and exchange of information across the Internet is a universally recognized need, in a wide variety of domains. New promising application fields such as Semantic Web Services can improve the integration process in the Web, dealing with the major difficulty of the semantic heterogeneity in the resources, by means of domain ontologies. In this research, we propose an integration syste...

Adaptive Information Analysis in Higher Education Institutes

Information integration plays an important role in academic environments since it provides a comprehensive view of education data and enables mangers to analyze and evaluate the effectiveness of education processes. However, the problem in the traditional information integration is the lack of personalization due to weak information resource or unavailability of analysis functionality. In this ...

Editorial: International Workshop on Biomedical Data Mining, Modeling, and Semantic Integration: A Promising Approach to Solving Unmet Medical Needs (BDM2I 2015), Co-located with the 2015 International Semantic Web Conference

Semantic Graph Mining for e-Science

In this paper, we present a methodology, called Semantic Graph Mining, for computer-aided extraction of actionable rules from consolidated semantic graphs of statements. First, generate semantic annotations of a set of heterogeneous knowledge/information resources in terms of domain ontology. Second, merge a semantic graph by means of semantic integration of the annotated resources. Third, disc...

Adaptive Information Analysis in Higher Education Institutes

Information integration plays an important role in academic environments since it provides a comprehensive view of education data and enables mangers to analyze and evaluate the effectiveness of education processes. However, the problem in the traditional information integration is the lack of personalization due to weak information resource or unavailability of analysis functionality. In this ...

An Improved Semantic Schema Matching Approach

Schema matching is a critical step in many applications, such as data warehouse loading, Online Analytical Process (OLAP), Data mining, semantic web [2] and schema integration. This task is defined for finding the semantic correspondences between elements of two schemas. Recently, schema matching has found considerable interest in both research and practice. In this paper, we present a new impr...