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Semantic mapping support in AutomationML
Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), 2014In production system engineering, the machine-understandable definition of relations between engineering information views is important to enable automating dependency checking between these views. Unfortunately, in automation engineering there is no standardized representation of relations and dependencies, which makes it difficult to automate ...
Stefan Biffl +4 more
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Biological Cybernetics, 1989
Self-organized formation of topographic maps for abstract data, such as words, is demonstrated in this work. The semantic relationships in the data are reflected by their relative distances in the map. Two different simulations, both based on a neural network model that implements the algorithm of the selforganizing feature maps, are given.
Ritter, Helge, Kohonen, Teuvo
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Self-organized formation of topographic maps for abstract data, such as words, is demonstrated in this work. The semantic relationships in the data are reflected by their relative distances in the map. Two different simulations, both based on a neural network model that implements the algorithm of the selforganizing feature maps, are given.
Ritter, Helge, Kohonen, Teuvo
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Semantic Mapping with Omnidirectional Vision
2018 IEEE International Conference on Robotics and Automation (ICRA), 2018This paper presents a purely visual semantic mapping framework using omnidirectional images. The approach rests upon the robust segmentation of the robot's local free space, replacing conventional range sensors for the generation of occupancy grid maps.
Posada, Luis Felipe +3 more
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Semantic Mapping in Video Retrieval
ACM SIGIR Forum, 2018In the modern world, networked sensor technology makes it possible to capture the world around us in real-time. In the security domain cameras are an important source of information. Cameras in public places, bodycams, drones and recordings with smart phones are used for real time monitoring of the environment to prevent crime (monitoring case); and/or
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Ontology-driven Semantic Mapping
2008When facilitating interoperability at the data level one faces the problem that different data models are used as the basis for business formats. For example relational databases are based on the relational model, while XML Schema is basically a hierarchical model (with some extensions, like references). Our goal is to provide a syntax and a data model
BENEVENTANO, Domenico +5 more
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A Semantic Map for Imperative-Hortatives
2003This chapter is about similarities and differences in the way languages express orders, requests and exhortations. It crucially employs a so-called ‘semantic map’. The concept of the semantic map will be presented in section 2.1. Section 2.2 sketches some issues in the study of Imperatives and Imperative-like constructions.
van der Auwera, Johan +2 more
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Semantics in Human Localization and Mapping. [PDF]
, 2018 In this paper, we present an approach to human navigation and mapping using semantic techniques. The main idea is to enhance a map produced by a mapping algorithm with additional contextual information. The key advantage of our approach is the presence of a human in the loop, that can provide reliable semantic information.
SARSEMBAYEV, AIDOS, Sgorbissa, Antonio
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Semantic Enrichment for Ontology Mapping
2004In this paper, we present a heuristic mapping method and a prototype mapping system that support the process of semi-automatic ontology mapping for the purpose of improving semantic interoperability in heterogeneous systems. The approach is based on the idea of semantic enrichment, i.e.
Xiaomeng Su, Jon Atle Gulla
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Semantics for Mapping Relations in SKOS
2013SKOS (Simple Knowledge Organisation System) is a W3C Recommendation for sharing and linking structured vocabularies - taxonomies, thesauri, classification schemes, etc. - via theWeb [1]. Since the SKOS specification leaves the semantics of SKOS rather open, large modeling projects may specialise SKOS with informal modeling guidelines that narrow down ...
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