Limits...
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 User Interface.
© Copyright Policy
Related In: Results  -  Collection


getmorefigures.php?uid=PMC4525255&req=5

f3-2091622: ResearchIQ User Interface.

Mentions: The need for design grounded in HCI is critical for applications presenting large amounts of data [22]. As part of ResearchIQ development, we implemented a robust and intuitive user interface based on a preliminary needs assessment study [23] that was targeted to learn the information needs of prospective ResearchIQ users. It allows users to visualize and explore large number of search results efficiently as a hierarchical structure based on their semantic type. The analysis revealed that most of the user queries could be categorized into six categories and can be mapped to the high-level ontology nodes within the Biomedical Resource Ontology. We further classified the search results into seven resources types (Figure 3). We also adopted an event driven design for the user interface keeping the client (web-browser) lightweight that translated into lower waiting times for the users. Finally, we provide a hybrid search slider that is, to the best of our knowledge, unique to ResearchIQ among ontology based search systems. The slider allows users to filter results to only show syntactic, semantic or any mixture therein.


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 User Interface.
© Copyright Policy
Related In: Results  -  Collection

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

f3-2091622: ResearchIQ User Interface.
Mentions: The need for design grounded in HCI is critical for applications presenting large amounts of data [22]. As part of ResearchIQ development, we implemented a robust and intuitive user interface based on a preliminary needs assessment study [23] that was targeted to learn the information needs of prospective ResearchIQ users. It allows users to visualize and explore large number of search results efficiently as a hierarchical structure based on their semantic type. The analysis revealed that most of the user queries could be categorized into six categories and can be mapped to the high-level ontology nodes within the Biomedical Resource Ontology. We further classified the search results into seven resources types (Figure 3). We also adopted an event driven design for the user interface keeping the client (web-browser) lightweight that translated into lower waiting times for the users. Finally, we provide a hybrid search slider that is, to the best of our knowledge, unique to ResearchIQ among ontology based search systems. The slider allows users to filter results to only show syntactic, semantic or any mixture therein.

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.