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» Discovering Trends in Text Databases
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WEBDB
2007
Springer
79views Database» more  WEBDB 2007»
15 years 3 months ago
Navigating Extracted Data with Schema Discovery
Open Information Extraction (OIE) is a recently-introduced type of information extraction that extracts small individual pieces of data from input text without any domainspecific...
Michael J. Cafarella, Dan Suciu, Oren Etzioni
141
Voted
AMINING
2003
Springer
293views Data Mining» more  AMINING 2003»
15 years 2 months ago
Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI
Abstract. MUSASHI is a set of commands which enables us to efficiently execute various types of data manipulations in a flexible manner, mainly aiming at data processing of huge a...
Katsutoshi Yada, Yukinobu Hamuro, Naoki Katoh, Tak...
CHI
2005
ACM
15 years 9 months ago
Programmatic semantics for natural language interfaces
An important way of making interfaces usable by nonexpert users is to enable the use of natural language input, as in natural language query interfaces to databases, or MUDs and M...
Hugo Liu, Henry Lieberman
ER
2005
Springer
130views Database» more  ER 2005»
15 years 2 months ago
Conceptual Model Based Semantic Web Services
To achieve the dream of the semantic web, it must be possible for ordinary users to invoke services. Exactly how to turn this dream into reality is a challenging opportunity and a...
Muhammed Al-Muhammed, David W. Embley, Stephen W. ...
78
Voted
SAC
2009
ACM
15 years 4 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad