By a News Reporter-Staff News Editor at Information Technology Newsweekly -- New research on Database Management is the subject of a report. According to news originating from Los Angeles, California, by VerticalNews correspondents, research stated, "Supporting aggregates in recursive logic rules represents a very important problem for Datalog. To solve this problem, we propose a simple extension, called Datalog(Datalog extended with frequency support goals), that supports queries and reasoning about the number of distinct variable assignments satisfying given goals, or conjunctions of goals, in rules."
Our news journalists obtained a quote from the research from the University of California, "This monotonic extension greatly enhances the power of Datalog, while preserving (i) its declarative semantics and (ii) its amenability to efficient implementation via differential fixpoint and other optimization techniques presented in the paper. Thus, Datalogenables the efficient formulation of queries that could not be expressed efficiently or could not be expressed at all in Datalog with stratified negation and aggregates."
According to the news editors, the research concluded: "In fact, using a generalized notion of multiplicity called frequency, we show that diffusion models and page rank computations can be easily expressed and efficiently implemented using Datalog."
For more information on this research see: Extending the power of datalog recursion. VLDB Journal, 2013;22(4):471-493. VLDB Journal can be contacted at: Springer, 233 Spring St, New York, NY 10013, USA. (Springer - www.springer.com; VLDB Journal - www.springerlink.com/content/1066-8888/)
The news correspondents report that additional information may be obtained from M. Mazuran, University of California, Los Angeles, CA 90024, United States. Additional authors for this research include E. Serra and C. Zaniolo.
Keywords for this news article include: California, Los Angeles, United States, Database Management, North and Central America
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