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  1. Proceedings of the Third International Workshop on Keyword Search on Structured Data (KEYS '12)
  2. Towards a high quality and web-scalable table search engine
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Towards a high quality and web-scalable table search engine
iSearch: an interpretation based framework for keyword search in relational databases
A schema-driven approach for knowledge-oriented retrieval and query formulation
Theoretical results on keyword search and related problems
STRUCT: incorporating contextual information for English query search on relational databases
Integrating and querying source code of programs working on a database
KESOSD: keyword search over structured data
DBSemSXplorer: semantic-based keyword search system over relational databases for knowledge discovery
MALEX: a MAp-like exploration model on XML database
Efficient keyword search on large tree structured datasets

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Proactive natural language search engine: tapping into structured data on the web

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Towards a high quality and web-scalable table search engine

Content Provider ACM Digital Library
Author Yu, Cong
Abstract For over a decade, a large number of studies have explored efficient mechanisms for finding relevant information from structured sources such as relational, semi-structured, and graph databases. While successful in its own right, keyword search over structured data has yet to gain wide spread adoption on the Web, and it is not because of the lack of structured data on the Web. In fact, the Web offers orders of magnitude more structured data than any offline data source: 14 billions tables can be gathered just by considering page content between the table tags. The main reason is that keyword search over structured data on the Web presents a unique set of challenges that are quite different from its non-Web counterparts, as well as different from searching over documents (where the search engines have excelled). In this talk, I will discuss those challenges and our approaches in addressing them at Google's WebTables project. In particular, I will present the table search engine, our initial effort toward building a high quality and scalable structured data search engine, along with our other efforts on managing structured data on the Web.
Starting Page 1
Ending Page 1
Page Count 1
ISBN 9781450311984
DOI 10.1145/2254736.2254738
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-05-20
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Structured data Fusiontables Search Webtables
Content Type Text
Resource Type Article
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