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  • 2017

  • Piperagkas, Grigorios S. (2017): Key-frame Extraction With Semantic Graphs in Assembly Processes. In: IEEE ROBOTICS AND AUTOMATION LETTERS 2 (3), S. 1264-1271

    Abstract: In this letter, we present a novel method for key-frame extraction in assembly processes, with the support of visual sensors. The method is based on the construction of a sequence of weighted graphs containing the semantics of the underlying scene, encoded as primitive temporal and spatial relations between the involved objects. The objects are modeled as three-dimensional ellipsoids, with the formulation of the minimum volume covering ellipsoid problem as a convex optimization program, which is solved by an efficient algorithm. The new models are used in the sequence of actions-relations to increase the accuracy of the key-frame extraction, by extending the states encoded in the graphs. We present and analyze the method, followed by preliminary experimental results, and provide significant evidence on its potential.

    Keywords: Bildsemantik, frame semantics, Kognitionswissenschaft/Social Sciences/Humanities, Kognitive Skills/Social Cognition, Visualität, Wissensstrukturierung

  • 2015

  • Reed, Stephen K. (2015): A framework for constructing cognition ontologies using WordNet, FrameNet, and SUMO. In: COGNITIVE SYSTEMS RESEARCH 33, S. 122-144

    Abstract: Psychoinformatics is an emerging discipline that uses tools from the information sciences to organize psychological data. This article supports that objective by proposing a framework for constructing cognition ontologies by using WordNet, FrameNet, and the Suggested Upper Merged Ontology (SUMO). The first section describes the major characteristics of each of these tools. WordNet is a large lexical data base that was begun in the 1980s by George Miller. FrameNet is a database of event schemas based on a theory of frame semantics developed by the linguist Charles Fillmore. SUMO is a formal ontology of concepts expressed in mathematical logic that supports deductive reasoning. The next section discusses the objectives of science ontologies and includes examples for psychoses and for emotion. The article then describes potential applications of cognition ontologies for (1) studying how people organize knowledge, (2) analyzing major theoretical concepts such as abstraction, and (3) formulating premises that can serve as a link between informal taxonomies and formal ontologies. The final section discusses extending cognition ontologies to related domains such as artificial intelligence and cognitive neuroscience.

    Keywords: Computerwissenschaft, Disziplin, frame semantics, Intellektualtechnik, Kogn. Architektur, Kognitionswissenschaft/Social Sciences/Humanities, kognitive Architekturen, Kognitive Skills/Social Cognition, Korpus, Künstliche Intelligenz, Mensch-Technik-Relationen (MTR), Postkasten, psychoinformatics, Psychoinformatik, Psychologie, Realtechnik, Technik, Wissensstrukturierung
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