Semantic segmentation is a key technique involved in automatic interpretation of high-resolution remote sensing (HRS) imagery and has drawn much attention the community. Deep convolutional neural networks (DCNNs) have been successfully applied to HRS semantic task due their hierarchical representation ability. However, heavy dependency on large number training data with dense annotation sensiti...

Many Semantic Wiki Engines have been developed in response to a semi-structured domain of application. Nevertheless these engines take very few advantages of the structured model on their viewing and editing interfaces. In this paper we present HyperDEWiki implementation where we combine Semantic Wiki and model-based Semantic Web Application allowing specialized interfaces and navigation. The t...

In this paper we describe an automated method for generating images annotations, taking into account their visual features. The semantic rules map the combinations of visual characteristics (colour, texture, shape, position, etc.) with semantic concepts, capture the meaning and understanding of a domain by an expert, namely, which visual primitives are definitive for the semantic concepts of an...

The UMLS is intended to help health professionals and researchers use biomedical information from different sources [2]. The UMLS Metathesaurus is a huge repository of concepts that can be represented as semantic spaces. The UMLS Semantic Network is a limited network of semantic types that “represents knowledge about the biomedical domain, and may be considered a basic ontology for that domain”...

This research investigates using semantic information to learn syntax rules automatically. After describing a semantic parsing mechanism for parsing utterances based on meaning, we illustrate a grammar induction technique which uses semantic parsing’s results to create syntactic rules. We also present and discuss several experiments which use the learned grammar in syntactic parsing experiments...

In Semantic web, domain model is an abstract image of a small part of the world. It serves to capture the common understanding of the domain to create a basis for clear communication. This paper performs a study clarifying the different domain modeling types to help the individual interested by this topic to gain new insights and gudlines. In this paper, after a general introduction about the b...

The main goal of any object-oriented analysis (OOA) method is to clarify a problem by modeling the problem and its domain. Therefore, the most important artifact that results from OOA is the domain model, which is usually realized as a class diagram that describes the core concepts in the domain and their relationships. Ideally, a mature engineering process is repeatable: analysts given the sam...

We present a type assignment system that provides a finitary interpretation of lambda terms in a game semantics model. Traditionally, type assignment systems describe the semantic interpretation of terms in domain theoretic models. Quite surprisingly, the type assignment system presented in this paper is very similar to the traditional ones, the main difference being the omission of the subtypi...

Existing metadata about cultural items such as movies, books and music is a valuable resource that have been created for specific purposes and managed for decades by institutions worldwide. In order to realize and increase the potential value of this metadata and make it available for new services and purposes, there is a need for proper semantic reuse and integration of this metadata. Thus, th...

For a speech understanding graphic editor, a compiler-interpreter-system is introduced to process a semantic structure, a special form for representing the semantic content of a spoken utterance. After a semantic structure has been converted to database queries by the compiler, the interpreter processes all these queries and updates the corresponding database, i.e. in our case the graphics data...