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Content extraction - identifying the main content in HTML documents.. Universität Mainz, (2008)Combinations of Content Extraction Algorithms., and . LWA, TUD-CS-2009-0157/TUD-KE-2009-04, page WIR:9-12. FG Telekooperation/FG Knowledge Engineering, Technische Universität Darmstadt, Germany, (2009)TermPicker: Enabling the Reuse of Vocabulary Terms by Exploiting Data from the Linked Open Data Cloud - An Extended Technical Report., , and . CoRR, (2015)The Impact of the Filter Bubble - A Simulation Based Framework for Measuring Personalisation Macro Effects in Online Communities., and . CoRR, (2016)Finding Good URLs: Aligning Entities in Knowledge Bases with Public Web Document Representations., and . WoLE@ISWC, volume 906 of CEUR Workshop Proceedings, page 17-28. CEUR-WS.org, (2012)A Systematic Investigation of Explicit and Implicit Schema Information on the Linked Open Data Cloud., , , and . ESWC, volume 7882 of Lecture Notes in Computer Science, page 228-242. Springer, (2013)Survey on Common Strategies of Vocabulary Reuse in Linked Open Data Modeling., , and . ESWC, volume 8465 of Lecture Notes in Computer Science, page 457-472. Springer, (2014)A Comparison of Language Identification Approaches on Short, Query-Style Texts., and . ECIR, volume 5993 of Lecture Notes in Computer Science, page 611-614. Springer, (2010)Extracting the Main Content of Web Documents Based on Character Encoding and a Naive Smoothing Method., , , and . ICSOFT (Selected Papers), volume 303 of Communications in Computer and Information Science, page 217-236. Springer, (2011)LOVER: support for modeling data using linked open vocabularies., , , and . EDBT/ICDT Workshops, page 89-92. ACM, (2013)