A method of document comparison based on a hierarchical dictionary of topics (concepts) is described. The hierarchical links in the dictionary are supplied with the weights that are used for detecting the main topics of a document and for determining the similarity between two documents. The method allows for the comparison of documents that do not share any words literally but do share concept...

This paper introduces a hierarchical process for propagating image annotations throughout a partially labelled database. Long-term learning, where users’ query and browsing patterns are retained over multiple sessions, is used to guide the propagation of keywords onto image regions based on low-level feature distances. We demonstrate how singular value decomposition (SVD), normally used with la...

In this paper, we present a multiple views approach for exploring relationships between ontology classes and their instances. We employ thumbnails, 2D and 2.5D hyperbolic trees, which capture the hierarchical feature of parts of the ontology, while preserving the different categories of relationships between classes. In 2.5D visualization, the ontology is displayed as a tree on a plane, represe...

In this paper we demonstrate an automatic approach for emergent semantics modeling of ontologies. We follow the collaborative ontology construction method without the direct interaction of domain users, engineers or developers. A very important characteristic of an ontology is its hierarchical structure of concepts. Semantic web is heavily dependent on the XML paradigm, which inherently follows...

EcoLexicon (http://ecolexicon.ugr.es) is a terminological knowledge base on the environment that currently holds 3,351 concepts and a total of 17,475 terms in English, Spanish, German, Russian, French, and Modern Greek. Concepts are linked by means of hierarchical and non-hierarchical relations in dynamic networks and in definitions. The environmental domain is interdisciplinary and its concept...

Objectives. To identify missing hierarchical relations in SNOMED CT from logical definitions based on the lexical features of concept names. Methods. We first create logical definitions from the lexical features of concept names, which we represent in OWL EL. We infer hierarchical (subClassOf) relations among these concepts using the ELK reasoner. Finally, we compare the hierarchy obtained from...

This paper introduces basic concepts describing a hierarchical algebraic structure called multisorted tree algebra. This structure is constructed by placing multisorted algebra at the bottom of a hierarchy and placing at other intermediate nodes the aggregation of algebras placed at their immediate subordinate nodes. These constructions are different from the one of subalgebras, homomorphic ima...

OBJECTIVES Polysemy is a frequent issue in biomedical terminologies. In the Unified Medical Language System (UMLS), polysemous terms are either represented as several independent concepts, or clustered into a single, multiply-categorized concept. The objective of this study is to analyze polysemous concepts in the UMLS through their categorization and hierarchical relations for auditing purpose...

The UMLS Metathesaurus, the largest thesaurus in the biomedical domain, provides a representation of biomedical knowledge consisting of concepts classified by semantic type and both hierarchical and non-hierarchical relationships among the concepts. This knowledge has proved useful for many applications including decision support systems, management of patient records, information retrieval (IR...

This paper introduces a novel method to analyze the content of communication in social networks. Content clustering methods are used to extract a taxonomy of concepts from each analyzed communication archive. Those taxonomies are hierarchical categorizations of the concepts discussed in the analyzed communication archives. Concepts are based on terms extracted from the communication’s content. ...