AIMC Topic: Semantics

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A Natural Language Interface Concordant with a Knowledge Base.

Computational intelligence and neuroscience
The discordance between expressions interpretable by a natural language interface (NLI) system and those answerable by a knowledge base is a critical problem in the field of NLIs. In order to solve this discordance problem, this paper proposes a meth...

Classification of clinically useful sentences in clinical evidence resources.

Journal of biomedical informatics
UNLABELLED: Most patient care questions raised by clinicians can be answered by online clinical knowledge resources. However, important barriers still challenge the use of these resources at the point of care.

On fuzzy semantic similarity measure for DNA coding.

Computers in biology and medicine
A coding measure scheme numerically translates the DNA sequence to a time domain signal for protein coding regions identification. A number of coding measure schemes based on numerology, geometry, fixed mapping, statistical characteristics and chemic...

Spark, an application based on Serendipitous Knowledge Discovery.

Journal of biomedical informatics
Findings from information-seeking behavior research can inform application development. In this report we provide a system description of Spark, an application based on findings from Serendipitous Knowledge Discovery studies and data structures known...

Ontology Alignment Repair through Modularization and Confidence-Based Heuristics.

PloS one
Ontology Matching aims at identifying a set of semantic correspondences, called an alignment, between related ontologies. In recent years, there has been a growing interest in efficient and effective matching methods for large ontologies. However, al...

simDEF: definition-based semantic similarity measure of gene ontology terms for functional similarity analysis of genes.

Bioinformatics (Oxford, England)
MOTIVATION: Measures of protein functional similarity are essential tools for function prediction, evaluation of protein-protein interactions (PPIs) and other applications. Several existing methods perform comparisons between proteins based on the se...

Decoding intracranial EEG data with multiple kernel learning method.

Journal of neuroscience methods
BACKGROUND: Machine learning models have been successfully applied to neuroimaging data to make predictions about behavioral and cognitive states of interest. While these multivariate methods have greatly advanced the field of neuroimaging, their app...

Towards Extracting Supporting Information About Predicted Protein-Protein Interactions.

IEEE/ACM transactions on computational biology and bioinformatics
One of the goals of relation extraction is to identify protein-protein interactions (PPIs) in biomedical literature. Current systems are capturing binary relations and also the direction and type of an interaction. Besides assisting in the curation P...

Using Semantic Components to Represent Dynamics of an Interdisciplinary Healthcare Team in a Multi-Agent Decision Support System.

Journal of medical systems
In healthcare organizations, clinical workflows are executed by interdisciplinary healthcare teams (IHTs) that operate in ways that are difficult to manage. Responding to a need to support such teams, we designed and developed the MET4 multi-agent sy...

A connectionist model of the retreat from verb argument structure overgeneralization.

Journal of child language
A central question in language acquisition is how children build linguistic representations that allow them to generalize verbs from one construction to another (e.g., The boy gave a present to the girl → The boy gave the girl a present), whilst appr...