ArticleJournal of biomedical informatics2012
A query integrator and manager for the query web.
Article in Journal of biomedical informatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Standard Lexicons, Coding Systems and Ontologies for Interoperability and Semantic Computation in Imaging.Journal of digital imaging · 2018Review
- From frames to OWL2: Converting the Foundational Model of Anatomy.Artificial intelligence in medicine · 2016Article
- The Ontology of Clinical Research (OCRe): an informatics foundation for the science of clinical research.Journal of biomedical informatics · 2014Article
- Neuroanatomical domain of the foundational model of anatomy ontology.Journal of biomedical semantics · 2014Article
- The ontology of craniofacial development and malformation for translational craniofacial research.American journal of medical genetics. Part C, Seminars in medical genetics · 2013Review
- A query integrator and manager for the query web.Journal of biomedical informatics · 2012Article
- Ontology-based federated data access to human studies information.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
- Ontology-based image navigation: exploring 3.0-T MR neurography of the brachial plexus using AIM and RadLex.Radiographics : a review publication of the Radiological Society of North America, IncArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
We introduce two concepts: the Query Web as a layer of interconnected queries over the document web and the semantic web, and a Query Web Integrator and Manager (QI) that enables the Query Web to evolve. QI permits users to write, save and reuse queries over any web accessible source, including other queries saved in other installations of QI. The saved queries may be in any language (e.g. SPARQL, XQuery); the only condition for interconnection is that the queries return their results in some form of XML. This condition allows queries to chain off each other, and to be written in whatever language is appropriate for the task. We illustrate the potential use of QI for several biomedical use cases, including ontology view generation using a combination of graph-based and logical approaches, value set generation for clinical data management, image annotation using terminology obtained from an ontology web service, ontology-driven brain imaging data integration, small-scale clinical data integration, and wider-scale clinical data integration. Such use cases illustrate the current range of applications of QI and lead us to speculate about the potential evolution from smaller groups of interconnected queries into a larger query network that layers over the document and semantic web. The resulting Query Web could greatly aid researchers and others who now have to manually navigate through multiple information sources in order to answer specific questions.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.