ArticleFrontiers in genetics2012
The ontology-based answers (OBA) service: a connector for embedded usage of ontologies in applications.
Article in Frontiers in genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- A solution to the challenges of interdisciplinary aggregation and use of specimen-level trait data.iScience · 2022Article
- Towards semantic interoperability: finding and repairing hidden contradictions in biomedical ontologies.BMC medical informatics and decision making · 2020Article
- Expanded and updated data and a query pipeline for iBeetle-Base.Nucleic acids research · 2018Article
- TFClass: expanding the classification of human transcription factors to their mammalian orthologs.Nucleic acids research · 2018Article
- iBeetle-Base: a database for RNAi phenotypes in the red flour beetle Tribolium castaneum.Nucleic acids research · 2015Article
- TFClass: a classification of human transcription factors and their rodent orthologs.Nucleic acids research · 2015Article
- Gene Ontology Consortium: going forward.Nucleic acids research · 2015Article
- EndoNet: an information resource about the intercellular signaling network.BMC systems biology · 2014Article
- Editorial: biological ontologies and semantic biology.Frontiers in genetics · 2014Article
- TFClass: an expandable hierarchical classification of human transcription factors.Nucleic acids research · 2013Article
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The semantic web depends on the use of ontologies to let electronic systems interpret contextual information. Optimally, the handling and access of ontologies should be completely transparent to the user. As a means to this end, we have developed a service that attempts to bridge the gap between experts in a certain knowledge domain, ontologists, and application developers. The ontology-based answers (OBA) service introduced here can be embedded into custom applications to grant access to the classes of ontologies and their relations as most important structural features as well as to information encoded in the relations between ontology classes. Thus computational biologists can benefit from ontologies without detailed knowledge about the respective ontology. The content of ontologies is mapped to a graph of connected objects which is compatible to the object-oriented programming style in Java. Semantic functions implement knowledge about the complex semantics of an ontology beyond the class hierarchy and "partOf" relations. By using these OBA functions an application can, for example, provide a semantic search function, or (in the examples outlined) map an anatomical structure to the organs it belongs to. The semantic functions relieve the application developer from the necessity of acquiring in-depth knowledge about the semantics and curation guidelines of the used ontologies by implementing the required knowledge. The architecture of the OBA service encapsulates the logic to process ontologies in order to achieve a separation from the application logic. A public server with the current plugins is available and can be used with the provided connector in a custom application in scenarios analogous to the presented use cases. The server and the client are freely available if a project requires the use of custom plugins or non-public ontologies. The OBA service and further documentation is available at http://www.bioinf.med.uni-goettingen.de/projects/oba.
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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.