AIMC Topic: Semantics
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Extracting drug-drug interactions from literature using a rich feature-based linear kernel approach.
Journal of biomedical informatics
Mar 19, 2015
Identifying unknown drug interactions is of great benefit in the early detection of adverse drug reactions. Despite existence of several resources for drug-drug interaction (DDI) information, the wealth of such information is buried in a body of unst...
Sentiment analysis using common-sense and context information.
Computational intelligence and neuroscience
Mar 17, 2015
Sentiment analysis research has been increasing tremendously in recent times due to the wide range of business and social applications. Sentiment analysis from unstructured natural language text has recently received considerable attention from the r...
USI: a fast and accurate approach for conceptual document annotation.
BMC bioinformatics
Mar 14, 2015
BACKGROUND: Semantic approaches such as concept-based information retrieval rely on a corpus in which resources are indexed by concepts belonging to a domain ontology. In order to keep such applications up-to-date, new entities need to be frequently ...
Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features.
Journal of the American Medical Informatics Association : JAMIA
Mar 9, 2015
OBJECTIVE: Social media is becoming increasingly popular as a platform for sharing personal health-related information. This information can be utilized for public health monitoring tasks, particularly for pharmacovigilance, via the use of natural la...
Identifying named entities from PubMed for enriching semantic categories.
BMC bioinformatics
Feb 21, 2015
BACKGROUND: Controlled vocabularies such as the Unified Medical Language System (UMLS) and Medical Subject Headings (MeSH) are widely used for biomedical natural language processing (NLP) tasks. However, the standard terminology in such collections s...
OTO: Ontology Term Organizer.
BMC bioinformatics
Feb 15, 2015
BACKGROUND: The need to create controlled vocabularies such as ontologies for knowledge organization and access has been widely recognized in various domains. Despite the indispensable need of thorough domain knowledge in ontology construction, most ...
Measuring semantic similarities by combining gene ontology annotations and gene co-function networks.
BMC bioinformatics
Feb 14, 2015
BACKGROUND: Gene Ontology (GO) has been used widely to study functional relationships between genes. The current semantic similarity measures rely only on GO annotations and GO structure. This limits the power of GO-based similarity because of the li...
Transformation of standardized clinical models based on OWL technologies: from CEM to OpenEHR archetypes.
Journal of the American Medical Informatics Association : JAMIA
Feb 10, 2015
INTRODUCTION: The semantic interoperability of electronic healthcare records (EHRs) systems is a major challenge in the medical informatics area. International initiatives pursue the use of semantically interoperable clinical models, and ontologies h...
Aber-OWL: a framework for ontology-based data access in biology.
BMC bioinformatics
Jan 28, 2015
BACKGROUND: Many ontologies have been developed in biology and these ontologies increasingly contain large volumes of formalized knowledge commonly expressed in the Web Ontology Language (OWL). Computational access to the knowledge contained within t...
Extracting Various Classes of Data From Biological Text Using the Concept of Existence Dependency.
IEEE journal of biomedical and health informatics
Jan 19, 2015
One of the key goals of biological natural language processing (NLP) is the automatic information extraction from biomedical publications. Most current constituency and dependency parsers overlook the semantic relationships between the constituents c...
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