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CAD Computer Aided Design, 2000
Abstract Almost all current feature modelling systems are parametric, history-based modelling systems. These systems suffer from a number of shortcomings with regard to the modelling process. In particular, they lack a complete specification of feature semantics, and therefore fail to maintain the meaning of the features during modelling.
Rafael Bidarra, Willem F. Bronsvoort
exaly +2 more sources
Abstract Almost all current feature modelling systems are parametric, history-based modelling systems. These systems suffer from a number of shortcomings with regard to the modelling process. In particular, they lack a complete specification of feature semantics, and therefore fail to maintain the meaning of the features during modelling.
Rafael Bidarra, Willem F. Bronsvoort
exaly +2 more sources
Challenges in Modelling of Environmental Semantics
Modelling environmental semantics is a prerequisite for model and data interoperabilty and reuse, both essential for integrated modelling. This paper previews a landscape where integrated modelling activities are performed in a virtual environmental ...
Ioannis N Athanasiadis +1 more
exaly +2 more sources
Meaningful modeling: what's the semantics of "semantics"?
Computer, 2004The Unified Modeling Language (UML) is a complex collection of mostly diagrammatic notations for software modeling, and its standardization has prompted an animated discussion about UML's semantics and how to represent it. We have thus set out to clarify some of the notions involved in defining modeling languages, with an eye toward the particular ...
David Harel, Bernhard Rumpe
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A model for semantic localization
Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015We propose a model for Semantic Localization, i.e. establishing positional relations on meaningful objects, to enable the principled integration of heterogeneous localization clues -- such as those derived from ubiquitous sensors in the Internet of Things.
Matthew Weber, Edward A. Lee
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ACM Computing Surveys, 1988
Semantic data models have emerged from a requirement for more expressive conceptual data models. Current generation data models lack direct support for relationships, data abstraction, inheritance, constraints, unstructured objects, and the dynamic properties of an application.
Joan Peckham, Fred J. Maryanski
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Semantic data models have emerged from a requirement for more expressive conceptual data models. Current generation data models lack direct support for relationships, data abstraction, inheritance, constraints, unstructured objects, and the dynamic properties of an application.
Joan Peckham, Fred J. Maryanski
openaire +1 more source
SEMANTICS OF DATA BASES: THE SEMANTICS OF DATA MODELS
Information Systems, 1978The definition of data equivalence depends on a notion of the semantics (i.e. the meaning) of the data stored in a data base. To define the semantics of these data it is very important to distinguish between the things to be modelled in a data base and the language in which they are represented.
Horst Biller, Erich J. Neuhold
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2015
Graph models do excel where data have an element of uncertainty or unpredictability and the relationships are data's main features. However, existing graph models neglect the semantics of node and relationship type. To capture as much semantics as possible, we extend the nodes in graph model with some object-oriented features and edges with multiple
Liu Chen, Ting Yu 0004, Mengchi Liu
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Graph models do excel where data have an element of uncertainty or unpredictability and the relationships are data's main features. However, existing graph models neglect the semantics of node and relationship type. To capture as much semantics as possible, we extend the nodes in graph model with some object-oriented features and edges with multiple
Liu Chen, Ting Yu 0004, Mengchi Liu
openaire +1 more source
Modelling Behaviour Semantically
2013Context is only one of several strata of meaning and we can not predict realisation at the lexical or grammatical level from context alone. Yet, there is a tendency to confuse contextual patterning with semantic patterning and allocate patterning to the contextual level that might better be dealt with on other levels.
David Butt +2 more
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2010
A cornerstone for robotic assistants is their understanding of the space they are to be operating in: an environment built by people for people to live and work in. The research questions we are interested in in this chapter concern spatial understanding, and its connection to acting and interacting in indoor environments.
Andrzej Pronobis +6 more
openaire +2 more sources
A cornerstone for robotic assistants is their understanding of the space they are to be operating in: an environment built by people for people to live and work in. The research questions we are interested in in this chapter concern spatial understanding, and its connection to acting and interacting in indoor environments.
Andrzej Pronobis +6 more
openaire +2 more sources

