Ramakrishnan: Semantics on the Web
2016
it is becoming increasingly clear that the next generation of web search and advertising will rely on a deeper understanding of user intent and task modeling and a correspondingly richer interpretation of content on the web how we get there in particular how we understand web content in richer terms than bags of words and links is a wide open and fascinating question i will discuss some of the options here and look closely at the role that information extraction can play speaker bio raghu ramakrishnan is chief scientist for audience and cloud computing at yahoo and is a research fellow heading the community systems area in yahoo research he was professor of computer sciences at the university of wisconsin madison and was founder and cto of quiq a company that pioneered question answering communities powering ask jeeves answerpoint as well as customer support for companies such as compaq his research has influenced query optimization in commercial database systems and the design of window functions in sql 1999 his paper on the birch clustering algorithm received the sigmod 10 year test of time award and he has written the widely used text database management systems with johannes gehrke he is chair of acm sigmod on the board of directors of acm sigkdd and the board of trustees of the vldb endowment and has served as editor in chief of the journal of data mining and knowledge discovery associate editor of acm transactions on database systems and the database area editor of the journal of logic programming ramakrishnan is a fellow of the association for computing machinery acm and the institute of electrical and electronics engineers ieee and has received several awards including a distinguished alumnus award from iit madras a packard foundation fellowship in science and engineering an nsf presidential young investigator award and an acm sigmod contributions award