AIMC Topic: Biological Ontologies

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Ontology-based automatic identification of public health-related Turkish tweets.

Computers in biology and medicine
Social media analysis, such as the analysis of tweets, is a promising research topic for tracking public health concerns including epidemics. In this paper, we present an ontology-based approach to automatically identify public health-related Turkish...

SAFE: SPARQL Federation over RDF Data Cubes with Access Control.

Journal of biomedical semantics
BACKGROUND: Several query federation engines have been proposed for accessing public Linked Open Data sources. However, in many domains, resources are sensitive and access to these resources is tightly controlled by stakeholders; consequently, privac...

Developing a knowledge base to support the annotation of ultrasound images of ectopic pregnancy.

Journal of biomedical semantics
BACKGROUND: Ectopic pregnancy is a frequent early complication of pregnancy associated with significant rates of morbidly and mortality. The positive diagnosis of this condition is established through transvaginal ultrasound scanning. The timing of d...

Toward a comprehensive drug ontology: extraction of drug-indication relations from diverse information sources.

Journal of biomedical semantics
BACKGROUND: Drug ontologies could help pharmaceutical researchers overcome information overload and speed the pace of drug discovery, thus benefiting the industry and patients alike. Drug-disease relations, specifically drug-indication relations, are...

Automatic query generation using word embeddings for retrieving passages describing experimental methods.

Database : the journal of biological databases and curation
Information regarding the physical interactions among proteins is crucial, since protein-protein interactions (PPIs) are central for many biological processes. The experimental techniques used to verify PPIs are vital for characterizing and assessing...

An ontological analysis of medical Bayesian indicators of performance.

Journal of biomedical semantics
BACKGROUND: Biomedical ontologies aim at providing the most exhaustive and rigorous representation of reality as described by biomedical sciences. A large part of medical reasoning deals with diagnosis and is essentially probabilistic. It would be an...

Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem.

Journal of biomedical informatics
Interoperability across data sets is a key challenge for quantitative histopathological imaging. There is a need for an ontology that can support effective merging of pathological image data with associated clinical and demographic data. To foster or...

Thematic issue of the Second combined Bio-ontologies and Phenotypes Workshop.

Journal of biomedical semantics
This special issue covers selected papers from the 18th Bio-Ontologies Special Interest Group meeting and Phenotype Day, which took place at the Intelligent Systems for Molecular Biology (ISMB) conference in Dublin in 2015. The papers presented in th...

Evolvix BEST Names for semantic reproducibility across code2brain interfaces.

Annals of the New York Academy of Sciences
Names in programming are vital for understanding the meaning of code and big data. We define code2brain (C2B) interfaces as maps in compilers and brains between meaning and naming syntax, which help to understand executable code. While working toward...

The Human Phenotype Ontology in 2017.

Nucleic acids research
Deep phenotyping has been defined as the precise and comprehensive analysis of phenotypic abnormalities in which the individual components of the phenotype are observed and described. The three components of the Human Phenotype Ontology (HPO; www.hum...