Arab Open University’s (AOU) branch in Oman has developed software for detection and risk assessment of diabetes and other related diseases. This software is ontology driven known as Decision Support System. It was developed as part of the Research Council (TRC) Open Research Grant program. AOU was awarded this project in 2012.
The Oxford English Dictionary is progressing towards a third edition with over 619,000 words compiled between its binding. To compile a dictionary of nearly every word in the English language was an endeavor typical of Victorian times. This mammoth-sized task resulted in the first installment emerging in 1884 with its contents “A to Ant.”
User profiles play an important role in information retrieval systems. This “revelation” came from a software engineer study, but really, is it a big surprise?
Attivio recently released Version 3.5 of Active Intelligence Engine (AIE). This recent version features a new Ontology Module and event-driven visualization capabilities that allow analysts to monitor the status of larger, multi-node systems.
Medical imagery can be as helpful as medical information. Searching for them may be a little different though. Researchers at Case Western Reserve University in Cleveland, OH are building a large-scale medical image retrieval system for consumers using a medical ontology.
Amy Taylor, JD, MLIS, of American University, has posted the video and slides of her presentation, Developing an Ontology of Legal Research. She describes the use of an ontology in this recap: “A legal research ontology could be useful because the transition from print to digital sources has shifted the way research is conducted and […]
Detecting defects in ontologies has always been important, but with the increased use of ontologies and ontology mappings in semantically-enabled applications, the importance has increased exponentially.
An educational opportunity exists this week at the National Institute of Standards and Technology (NIST) campus in Gaithersburg, Maryland. This symposium on how to develop and evaluate ontologies is scheduled for May 2-3, 2013.
Military intelligence is teaming up with the science and experts of ontology to understand the challenges and solutions for storing big data. An April 18 workshop at the University at Buffalo (UB) will explore this big data conundrum, as well as related topics.
Human beings supposedly produce 2.5 quintillion bytes of data every day, according to IBM. Adding to that bit of trivia, 90 percent of the data in the world today was created in the past two years. The result is why we have the challenge of “big data” today. Enormous data sets that most relational database management systems (Oracle, IBM, Microsoft, etc.) find difficult to process. “Ontologies for Information Integration” (OI2), an April 18 workshop at the University at Buffalo, will address this challenge and offer some non-traditional solutions.