This article introduces a neural network based cognitive architecture termed Concept Hierarchy Memory Model (CHMM) for conceptual knowledge representation and commonsense reasoning. CHMM is composed of two subnetworks: a Concept Formation Network (CFN), that acquires concepts based on their sensory representations; and a Concept Hierarchy Network (CHN), that encodes hierarchical relationships b...

Ontologies are important components of many health-information systems. The Chemical Entities of Biological Interest (ChEBI) ontology has become a standard reference for chemicals appearing in biological contexts. As such, assuring the quality of its content is imperative. In fact, ChEBI has a dedicated Web page at which errors and inconsistencies in its concepts can be reported. A study of the...

Common statistical practice has shown that the full power of Bayesian methods is not realized until hierarchical priors are used, as these allow for greater “robustness” and the ability to “share statistical strength.” Yet it is an ongoing challenge to provide a learning-theoretically sound formalism of such notions that: offers practical guidance concerning when and how best to utilize hierarc...

This paper presents a hierarchical heterogeneous knowledge-base model. The model is designed to support manipulation with human knowledge about real or abstract concepts from the real world that are uncertain, ambiguous, vague and fuzzy. It has two levels: a lower associative and a higher semantic. It enables processing of novel concepts in the inheritance and the recognition inference processe...

In this paper, we present the results of a method using undirected paths to determine the degree of semantic similarity between two concepts in a dense taxonomy with multiple inheritance. The overall objective of this work was to explore methods that take advantage of dense multi-hierarchical taxonomies that are more graph-like than tree-like by incorporating the proximity of concepts with resp...

Visual knowledge maps utilizing concepts have great potential to support interactive information retrieval. Unlike keyword-based visual information retrieval, concept-based knowledge maps can make the visualization easier to comprehend and manipulate. In this paper, we introduce our novel visual search interface based on Dewey Decimal Classification concept annotations. The web browser based in...

7 This paper describes hierarchical modeling of fuzzy logic concepts that has been used within the recently developed model of intelligent systems, called OBOA. The model is based on a multilevel, hierarchical, 9 general object-oriented approach. Current methods and software design and development tools for intelligent systems are usually di5cult to extend, and it is not easy to reuse their com...

One important goal of image synthesis research is to accelerate the process of obtaining realistic images using the radiosity method. Two important concepts recently introduced are the general framework of projection methods and the hierarchical radiosity method. Wavelet theory, which explores the space of hierarchical basis functions, offers an elegant framework that unites these two concepts ...

Current directory-based hierarchical file systems have many limitations as the amount of unstructured data possessed by individual user is increasing continuously. One of the most significant problems is that users usually have difficulties searching, navigating, and organizing their files since useful semantic information describing a file is not used in the current directory-based system. To ...

The Building-Block Hypothesis suggests that GAs perform well when they are able to identify above-averagefitness low-order schemata and recombine them to produce higher-order schemata of higher-fitness. We suppose that the recombinative process continues recursively: combining schemata of successively higher orders as search progresses. Historically, attempts to illustrate this intuitively stra...