Human reasoning goes beyond knowledge about individual entities, extending to inferences based on relations between entities. Here we focus the use of in verbal analogical mapping, sketching a general approach assessing similarity patterns semantic words. This combines research artificial intelligence with work psychology and cognitive science, aim minimizing hand coding text inputs for tasks. ...

Abstract Whilst mapping with UAVs has become an established tool for geodata acquisition in many domains, certain time-critical applications, such as crisis and disaster response, demand fast processing pipelines rather than photogrammetric post-processing approaches. Based on our 3D-capable real-time pipeline, this contribution presents not only array of optimisations the original implementati...

With the ever growing need of semantically linking data across different domain, organizational and diplomacy boundaries using RDF and OWL, one of the major obstacles impeding the advancement of Semantic Web is the data availability. This paper presents a browser-based semantic mapping tool for converting linked data on the Web to be available for Semantic Web applications. It is aiming at help...

This paper formalizes several independent approaches on how to develop Semantic Web applications using object-oriented programming languages and Object-Triple Mapping. Using such mapping, Semantic Web applications have been developed up to three times faster compared to traditional Semantic Web software engineering. Results show that at the same time, developer satisfaction has been significant...

Semantic Interoperability is a major issue for National Spatial data Infrastructures (NSDIs) and mapping across heterogeneous databases is essential for such interoperability. Mapping of schemas based on ontology mapping provides opportunities for semantic translation of schemas elements and hence for database queries across heterogeneous sources. Such semantics based mappings are usually human...

The perception and identification of visual stimuli from the environment is a fundamental capacity autonomous mobile robots. Current deep learning techniques make it possible to identify segment objects interest in an image. This paper presents novel algorithm object’s space segmentation image taken by 3D camera. proposed approach solves boundary pixel problem that appears when direct mapping s...