By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Researchers detail new data in Database Management. According to news reporting out of Stanford, California, by VerticalNews editors, research stated, "Entity resolution (ER) identifies database records that refer to the same real-world entity. In practice, ER is not a one-time process, but is constantly improved as the data, schema and application are better understood."
Our news journalists obtained a quote from the research from Stanford University, "We first address the problem of keeping the ER result up-to-date when the ER logic or data 'evolve' frequently. A na < ve approach that re-runs ER from scratch may not be tolerable for resolving large datasets. This paper investigates when and how we can instead exploit previous 'materialized' ER results to save redundant work with evolved logic and data. We introduce algorithm properties that facilitate evolution, and we propose efficient rule and data evolution techniques for three ER models: match-based clustering (records are clustered based on Boolean matching information), distance-based clustering (records are clustered based on relative distances), and pairs ER (the pairs of matching records are identified)."
According to the news editors, the research concluded: "Using real datasets, we illustrate the cost of materializations and the potential gains of evolution over the na < ve approach."
For more information on this research see: Incremental entity resolution on rules and data. VLDB Journal, 2014;23(1):77-102. 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/)
Our news journalists report that additional information may be obtained by contacting S.E. Whang, Stanford University, Dept. of Comp Sci, Stanford, CA 94305, United States.
Keywords for this news article include: Stanford, California, United States, Database Management, North and Central America
Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC