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Robert Baumgartner

Papers on DiSC'04


The Lixto Data Extraction Project: Back and Forth between Theory and Practice

Publications


Note: Links lead to the DBLP on the Web.

Robert Baumgartner

Robert Baumgartner, Nicola Henze , Marcus Herzog : The Personal Publication Reader: Illustrating Web Data Extraction, Personalization and Reasoning for the Semantic Web. ESWC 2005 : 515-530

Robert Baumgartner, Christian Enzi , Nicola Henze , Marc Herrlich , Marcus Herzog , Matthias Kriesell , Kai Tomaschewski : Semantic Web Enabled Information Systems: Personalized Views on Web Data. ICCSA (2) 2005 : 988-997

Georg Gottlob , Christoph Koch , Robert Baumgartner, Marcus Herzog , Sergio Flesca : The Lixto Data Extraction Project - Back and Forth between Theory and Practice. PODS 2004 : 1-12

Robert Baumgartner, Georg Gottlob , Marcus Herzog , Wolfgang Slany : Interactively Adding Web Service Interfaces to Existing Web Applications. SAINT 2004 : 74-80

Robert Baumgartner, Michal Ceresna , Georg Gottlob , Marcus Herzog , Viktor Zigo : Web Information Acquisition with Lixto Suite. ICDE 2003 : 747-749

Robert Baumgartner, Georg Gottlob , Marcus Herzog : Visual Programming of Web Data Aggregation Applications. IIWeb 2003 : 137-142

Robert Baumgartner, Georg Gottlob : Propositional default logics made easier: computational complexity of model checking. Theor. Comput. Sci. 289 (1): 591-627 (2002)

Robert Baumgartner, Sergio Flesca , Georg Gottlob : The Elog Web Extraction Language. LPAR 2001 : 548-560

Robert Baumgartner, Sergio Flesca , Georg Gottlob : Declarative Information Extraction, Web Crawling, and Recursive Wrapping with Lixto. LPNMR 2001 : 21-41

Robert Baumgartner, Sergio Flesca , Georg Gottlob : Visual Web Information Extraction with Lixto. VLDB 2001 : 119-128

Robert Baumgartner, Sergio Flesca , Georg Gottlob : Supervised Wrapper Generation with Lixto. VLDB 2001 : 715-716

Robert Baumgartner, Georg Gottlob : On the Complexity of Model Checking for Propositional Default Logics: New Results and Tractable Cases. IJCAI 1999 : 64-69

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