Prabhaker Mateti

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Acknowledgment First and foremost, I would like to express my deepest gratitude to my advisor, Dr. Norman I. Badler, for his invaluable guidance and advice, for his confidence in me from the beginning to the end, for all the freedom to pursue the research topics that interest me the most, and for the excellent research environment that he fosters at the(More)
OWL 2 EL ontologies are used to model and reason over data from diverse domains such as biomedicine, geography and road traffic. Data in these domains is increasing at a rate quicker than the increase in main memory and computation power of a single machine. Recent efforts in OWL reasoning algorithms lead to the decrease in classification time from several(More)
OWL 2 EL is one of the tractable profiles of the Web Ontol-ogy Language (OWL) which is a W3C-recommended standard. OWL 2 EL provides sufficient expressivity to model large biomedical ontologies as well as streaming data such as traffic, while at the same time allows for efficient reasoning services. Existing reasoners for OWL 2 EL, however , use only a(More)
Automated generation of axioms from streaming data, such as traffic and text, can result in very large ontologies that single machine reasoners cannot handle. Reasoning with large ontologies requires distributed solutions. Scalable reasoning techniques for RDFS, OWL Horst and OWL 2 RL now exist. For OWL 2 EL, several distributed reasoning approaches have(More)