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A distributed approach to sub-ontology extraction
TLDR
This paper proposes an approach for distributed ontology extraction where each user may extract optimized sub-ontologies from an existing base ontology, knowing that this approach will play an important role in improving the efficiency of information retrieval.
Semantic Completeness in Sub-ontology Extraction Using Distributed Methods
TLDR
A distributed memory architecture serves two purposes: Facilitates the utilization of a cluster environment typical in business organizations, which is in line with the envisaged application of the proposed system and enhances the performance of the computationally extensive extraction process when dealing with massively sized realistic ontologies.
Spatio-terminological Inference for the Design of Ambient Environments
We present an approach to assist the smart environment design process by means of automated validation of work-in-progress designs. The approach facilitates validation of not only the purely
Ontological Blending in DOL
We introduce ontological blending as a method for combining ontologies. Compared with existing combination techniques that aim at integrating or assimilating categories and relations of thematically
Learning Relational Event Models from Video
TLDR
A novel framework (Relational Event Model INDuction) for supervised relational learning of event models from large video datasets using ILP is presented and an extension to the framework is presented by integrating an abduction step that improves the learning performance when there is noise in the input data.
Qualitative Spatial and Temporal Reasoning: Emerging Applications, Trends, and Directions
TLDR
The field of Qualitative Spatial and Temporal Representation and Reasoning (QSTR) has evolved as a specialised discipline within Artificial Intelligence as well as other communities concerned with the development of formalisms and algorithms for modelling and reasoning about spatial information.
Modelling Dynamic Spatial Systems in the Situation Calculus
  • M. Bhatt, S. Loke
  • Mathematics, Computer Science
    Spatial Cogn. Comput.
  • 22 May 2008
TLDR
The approach is based on the hypothesis that alternate formalisations of existing qualitative spatial calculi using high-level tools such as the situation calculus are essential for their utilisation in diverse application domains such as intelligent systems, cognitive robotics and event-based GIS.
Non-monotonic spatial reasoning with answer set programming modulo theories* †
TLDR
Answer Set Programming Modulo Theories (ASPMT)(QS), a novel approach and fully implemented prototype for non-monotonic spatial reasoning — a crucial requirement within dynamic spatial systems — based on ASPMT is presented.
CLP(QS): A Declarative Spatial Reasoning Framework
TLDR
It is argued that the accessibility of qualitative spatial representation and reasoning mechanisms via the medium of high-level, logic-based formalizations is crucial for their utility toward solving real-world problems.
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