Artificial Intelligence federates numerous scientific fields in the aim of developing machines
able to assist human operators performing complex treatments---most of which demand high …

Ontologies are widely adopted in the biomedical domain to characterize various resources
(eg diseases, drugs, scientific publications) with non-ambiguous meanings. By exploiting the …

System and method for the indexing and retrieval of seman tically annotated information
units from a collection of semantically annotated indexed information units in response to a …

Semantic similarity assessment between concepts is an important task in many language
related applications. In the past, several approaches to assess similarity by evaluating the …

Semantic measures are widely used today to estimate the strength of the semantic
relationship between elements of various types: units of language (eg, words, sentences …

Ontology-driven Geographic Object-Based Image Analysis (O-GEOBIA) contributes to the
identification of meaningful objects. In fusing data from multiple sensors, the number of …

This paper describes the recognition of image patterns based on novel representation
learning techniques by considering higher-level (meta-) representations of numerical data in …

This paper introduces a new family of intrinsic and corpus-based Information Content (IC)
models for ontology-based similarity measures based on the IC theory, a detailed state of …

Semantic similarity and relatedness computation has attracted an increasing amount of
attention among researchers. The majority of previous studies, including edge-based and …

The determination of semantic similarity between word pairs is an important task in text
understanding that supports the processing, classification and structuring of textual …