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
Hey robot, shimmy like a centipede
22.07.2016 | Kyoto University
New nanoscale technologies could revolutionize microscopes, study of disease
20.07.2016 | University of Missouri-Columbia
Munich Physicists have developed a novel electron microscope that can visualize electromagnetic fields oscillating at frequencies of billions of cycles per second.
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Scientists at the Helmholtz Zentrum München have developed a new mass spectrometry imaging method which, for the first time, makes it possible to analyze hundreds of metabolites in fixed tissue samples. Their findings, published in the journal Nature Protocols, explain the new access to metabolic information, which will offer previously unexploited potential for tissue-based research and molecular diagnostics.
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