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ResearchIQ: Design of a Semantically Anchored Integrative Query Tool.

Lele O, Raje S, Yen PY, Payne P - AMIA Jt Summits Transl Sci Proc (2015)

Bottom Line: An important factor influencing the pace of research activity is the ability of researchers to discover and leverage heterogeneous resources.Emergent semantic web technologies provide novel approaches to discover, annotate and consequently link such resources.In this manuscript, we describe the design of Research Integrative Query (ResearchIQ) tool, a semantically anchored resource discovery platform that facilitates semantic discovery of local and publically available data through a single web portal designed for researchers in the biomedical informatics domain within The Ohio State University.

View Article: PubMed Central - PubMed

Affiliation: Department of Biomedical Informatics, The Ohio State University, Columbus, OH.

ABSTRACT
An important factor influencing the pace of research activity is the ability of researchers to discover and leverage heterogeneous resources. Usually, researcher profiles, laboratory equipment, data samples, clinical trials, and other research resources are stored in heterogeneous datasets in large organizations. Emergent semantic web technologies provide novel approaches to discover, annotate and consequently link such resources. In this manuscript, we describe the design of Research Integrative Query (ResearchIQ) tool, a semantically anchored resource discovery platform that facilitates semantic discovery of local and publically available data through a single web portal designed for researchers in the biomedical informatics domain within The Ohio State University.

No MeSH data available.


ResearchIQ System Components
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f1-2091622: ResearchIQ System Components

Mentions: ResearchIQ leverages ontology-based semantic annotations to link heterogeneous research resources. The semantic annotation process is fully automated, eliminating the need for human intervention to maintain resources, including updates to resources, within the ResearchIQ system. Consequently, ResearchIQ can be scaled easily to represent any large number of heterogeneous research resources. The semantic annotations are augmented with syntactic representations. The unique combination (semantic and syntactic) enhances result relevance significantly. ResearchIQ has a robust architecture that includes a Hadoop [9] based backend infrastructure. The architecture also provides APIs for other systems to interface with ResearchIQ. In fact, ResearchIQ is currently being used to enhance resource discovery within a research project management tool (CoRR – Computerized Research Record [10]) at The Ohio State University. Figure 1 shows the various components of the ResearchIQ system.


ResearchIQ: Design of a Semantically Anchored Integrative Query Tool.

Lele O, Raje S, Yen PY, Payne P - AMIA Jt Summits Transl Sci Proc (2015)

ResearchIQ System Components
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4525255&req=5

f1-2091622: ResearchIQ System Components
Mentions: ResearchIQ leverages ontology-based semantic annotations to link heterogeneous research resources. The semantic annotation process is fully automated, eliminating the need for human intervention to maintain resources, including updates to resources, within the ResearchIQ system. Consequently, ResearchIQ can be scaled easily to represent any large number of heterogeneous research resources. The semantic annotations are augmented with syntactic representations. The unique combination (semantic and syntactic) enhances result relevance significantly. ResearchIQ has a robust architecture that includes a Hadoop [9] based backend infrastructure. The architecture also provides APIs for other systems to interface with ResearchIQ. In fact, ResearchIQ is currently being used to enhance resource discovery within a research project management tool (CoRR – Computerized Research Record [10]) at The Ohio State University. Figure 1 shows the various components of the ResearchIQ system.

Bottom Line: An important factor influencing the pace of research activity is the ability of researchers to discover and leverage heterogeneous resources.Emergent semantic web technologies provide novel approaches to discover, annotate and consequently link such resources.In this manuscript, we describe the design of Research Integrative Query (ResearchIQ) tool, a semantically anchored resource discovery platform that facilitates semantic discovery of local and publically available data through a single web portal designed for researchers in the biomedical informatics domain within The Ohio State University.

View Article: PubMed Central - PubMed

Affiliation: Department of Biomedical Informatics, The Ohio State University, Columbus, OH.

ABSTRACT
An important factor influencing the pace of research activity is the ability of researchers to discover and leverage heterogeneous resources. Usually, researcher profiles, laboratory equipment, data samples, clinical trials, and other research resources are stored in heterogeneous datasets in large organizations. Emergent semantic web technologies provide novel approaches to discover, annotate and consequently link such resources. In this manuscript, we describe the design of Research Integrative Query (ResearchIQ) tool, a semantically anchored resource discovery platform that facilitates semantic discovery of local and publically available data through a single web portal designed for researchers in the biomedical informatics domain within The Ohio State University.

No MeSH data available.