ArticleJournal of biomedical semantics2013
NCBO Technology: Powering semantically aware applications.
Article in Journal of biomedical semantics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- A maturity model for catalogues of semantic artefacts.Scientific data · 2024Article
- Machine actionable metadata models.Scientific data · 2022Article
- PhenoRerank: A re-ranking model for phenotypic concept recognition pre-trained on human phenotype ontology.Journal of biomedical informatics · 2022Article
- SIFR annotator: ontology-based semantic annotation of French biomedical text and clinical notes.BMC bioinformatics · 2018Article
- CEDAR OnDemand: a browser extension to generate ontology-based scientific metadata.BMC bioinformatics · 2018Article
- InfAcrOnt: calculating cross-ontology term similarities using information flow by a random walk.BMC genomics · 2018Article
- Ontology-based annotations and semantic relations in large-scale (epi)genomics data.Briefings in bioinformatics · 2017Article
- Molecular, phenotypic, and sample-associated data to describe pluripotent stem cell lines and derivatives.Scientific data · 2017Article
- Bio-TDS: bioscience query tool discovery system.Nucleic acids research · 2017Article
- Data integration in biological research: an overview.Journal of biological research (Thessalonike, Greece) · 2015Review
- The role of ontologies in biological and biomedical research: a functional perspective.Briefings in bioinformatics · 2015Article
- Terminology development towards harmonizing multiple clinical neuroimaging research repositories.Data integration in the life sciences : ... International Workshop, DILS ... : proceedings. DILS (Conference) · 2015Article
- Trivalent Influenza Vaccine Adverse Event Analysis Based On MedDRA System Organ Classes Using VAERS Data.Studies in health technology and informatics · 2015Article
- Cancer based pharmacogenomics network supported with scientific evidences: from the view of drug repurposing.BioData mining · 2015Article
- Automated semantic annotation of rare disease cases: a case study.Database : the journal of biological databases and curation · 2014Article
- SEE: structured representation of scientific evidence in the biomedical domain using Semantic Web techniques.Journal of biomedical semantics · 2014Article
- Evaluation of need for ontologies to manage domain content for the Reportable Conditions Knowledge Management System.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
- Selected papers from the 15th Annual Bio-Ontologies Special Interest Group Meeting.Journal of biomedical semantics · 2013Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
As new biomedical technologies are developed, the amount of publically available biomedical data continues to increase. To help manage these vast and disparate data sources, researchers have turned to the Semantic Web. Specifically, ontologies are used in data annotation, natural language processing, information retrieval, clinical decision support, and data integration tasks. The development of software applications to perform these tasks requires the integration of Web services to incorporate the wide variety of ontologies used in the health care and life sciences. The National Center for Biomedical Ontology, a National Center for Biomedical Computing created under the NIH Roadmap, developed BioPortal, which provides access to one of the largest repositories of biomedical ontologies. The NCBO Web services provide programmtic access to these ontologies and can be grouped into four categories; Ontology, Mapping, Annotation, and Data Access. The Ontology Web services provide access to ontologies, their metadata, ontology versions, downloads, navigation of the class hierarchy (parents, children, siblings) and details of each term. The Mapping Web services provide access to the millions of ontology mappings published in BioPortal. The NCBO Annotator Web service "tags" text automatically with terms from ontologies in BioPortal, and the NCBO Resource Index Web services provides access to an ontology-based index of public, online data resources. The NCBO Widgets package the Ontology Web services for use directly in Web sites. The functionality of the NCBO Web services and widgets are incorporated into semantically aware applications for ontology development and visualization, data annotation, and data integration. This overview will describe these classes of applications, discuss a few examples of each type, and which NCBO Web services are used by these applications.
Identifiers
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.