Thus this disorder has led to demands ‘ontology alignment’ to literally align two or more seemingly similar, but quite different ontologies for unified understanding.
As a solution to these issues, Md. Hanif Seddiqui and Masaki Aono at Toyohashi University of Technology have developed an efficient and scalable algorithm for ontology alignment: the so-called ‘Anchor-Flood algorithm’.
Notably, the Anchor-Flood algorithm achieved the best running time in the OAEI 2009 (Ontology Alignment Evaluation Initiative) contest.
The Anchor-Flood algorithm can be applied not only to ontology alignment problems, but also for similarity measurements for data in two graphs. This includes potentially many areas of research including web link analysis and web community mining.Reference:
Masaki Aono | Toyohashi University
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New discovery could improve brain-like memory and computing
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On the way to an intelligent laboratory, physicists from Innsbruck and Vienna present an artificial agent that autonomously designs quantum experiments. In initial experiments, the system has independently (re)discovered experimental techniques that are nowadays standard in modern quantum optical laboratories. This shows how machines could play a more creative role in research in the future.
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At the JEC World Composite Show in Paris in March 2018, the Fraunhofer Institute for Laser Technology ILT will be focusing on the latest trends and innovations in laser machining of composites. Among other things, researchers at the booth shared with the Aachen Center for Integrative Lightweight Production (AZL) will demonstrate how lasers can be used for joining, structuring, cutting and drilling composite materials.
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Scientists at Tokyo Institute of Technology (Tokyo Tech) and Tohoku University have developed high-quality GFO epitaxial films and systematically investigated their ferroelectric and ferromagnetic properties. They also demonstrated the room-temperature magnetocapacitance effects of these GFO thin films.
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