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» Learning to Extract Information for the Semantic Web
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ACMICEC
2006
ACM
141views ECommerce» more  ACMICEC 2006»
15 years 11 months ago
From HTML documents to web tables and rules
We present a browser-extending Semantic Web extraction system that maps HTML documents to tables and, where possible, to rules. First, the basic data extractor ViPER distills and ...
Kai Simon, Georg Lausen, Harold Boley
AAAI
2000
15 years 7 months ago
Learning the Common Structure of Data
The proliferation of online information sources has accentuated the need for tools that automatically validate and recognize data. We present an efficient algorithm that learns st...
Kristina Lerman, Steven Minton
COLING
2010
15 years 25 days ago
Learning Web Query Patterns for Imitating Wikipedia Articles
This paper presents a novel method for acquiring a set of query patterns to retrieve documents containing important information about an entity. Given an existing Wikipedia catego...
Shohei Tanaka, Naoaki Okazaki, Mitsuru Ishizuka
WONTO
2008
15 years 7 months ago
A Survey of Ontology Learning Procedures
Abstract. Ontologies constitute an approach for knowledge representation that can be shared establishing a shared vocabulary for different applications and are also the backbone of...
Lucas Drumond, Rosario Girardi
ER
2006
Springer
158views Database» more  ER 2006»
15 years 9 months ago
Database to Semantic Web Mapping Using RDF Query Languages
One of the main drawbacks of the Semantic Web is the lack of semantically rich data, since most of the information is still stored in relational databases. In this paper, we presen...
Cristian Pérez de Laborda, Stefan Conrad