AIMC Topic: Information Storage and Retrieval

Clear Filters Showing 411 to 420 of 714 articles

Towards holographic "brain" memory based on randomization and Walsh-Hadamard transformation.

Neural networks : the official journal of the International Neural Network Society
The holographic conceptual approach to cognitive processes in the human brain suggests that, in some parts of the brain, each part of the memory (a neuron or a group of neurons) contains some information regarding the entire data. In Dolev and Frenke...

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...

Natural Language Search Interfaces: Health Data Needs Single-Field Variable Search.

Journal of medical Internet research
BACKGROUND: Data discovery, particularly the discovery of key variables and their inter-relationships, is key to secondary data analysis, and in-turn, the evolving field of data science. Interface designers have presumed that their users are domain e...

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.

Knowledge-Driven Event Extraction in Russian: Corpus-Based Linguistic Resources.

Computational intelligence and neuroscience
Automatic event extraction form text is an important step in knowledge acquisition and knowledge base population. Manual work in development of extraction system is indispensable either in corpus annotation or in vocabularies and pattern creation for...

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...

Mirrored STDP Implements Autoencoder Learning in a Network of Spiking Neurons.

PLoS computational biology
The autoencoder algorithm is a simple but powerful unsupervised method for training neural networks. Autoencoder networks can learn sparse distributed codes similar to those seen in cortical sensory areas such as visual area V1, but they can also be ...

IoT Big-Data Centred Knowledge Granule Analytic and Cluster Framework for BI Applications: A Case Base Analysis.

PloS one
The current rapid growth of Internet of Things (IoT) in various commercial and non-commercial sectors has led to the deposition of large-scale IoT data, of which the time-critical analytic and clustering of knowledge granules represent highly thought...

Knowledge Extraction from MEDLINE by Combining Clustering with Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium
The identification of relevant predicates between co-occurring concepts in scientific literature databases like MEDLINE is crucial for using these sources for knowledge extraction, in order to obtain meaningful biomedical predications as subject-pred...