Marc Spaniol

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Marc Spaniol is an author.

Publications

Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Harvesting facts from textual web sources by constrained label propagation Knowledge harvesting
Label propagation
Temporal facts
International Conference on Information and Knowledge Management, Proceedings English 2011 There have been major advances on automatically constructing large knowledge bases by extracting relational facts from Web and text sources. However, the world is dynamic: periodic events like sports competitions need to be interpreted with their respective timepoints, and facts such as coaching a sports team, holding political or business positions, and even marriages do not hold forever and should be augmented by their respective timespans. This paper addresses the problem of automatically harvesting temporal facts with such extended time-awareness. We employ pattern-based gathering techniques for fact candidates and construct a weighted pattern-candidate graph. Our key contribution is a system called PRAVDA based on a new kind of label propagation algorithm with a judiciously designed loss function, which iteratively processes the graph to label good temporal facts for a given set of target relations. Our experiments with online news and Wikipedia articles demonstrate the accuracy of this method. 0 0
Timely YAGO: Harvesting, querying, and visualizing temporal knowledge from Wikipedia Knowledge harvesting
Knowledge management
Ontology
Temporal fact extraction
Temporal queries
Wikipedia
Advances in Database Technology - EDBT 2010 - 13th International Conference on Extending Database Technology, Proceedings English 2010 Recent progress in information extraction has shown how to automatically build large ontologies from high-quality sources like Wikipedia. But knowledge evolves over time; facts have associated validity intervals. Therefore, ontologies should include time as a first-class dimension. In this paper, we introduce Timely YAGO, which extends our previously built knowledge base YAGO with temporal aspects. This prototype system extracts temporal facts from Wikipedia infoboxes, categories, and lists in articles, and integrates these into the Timely YAGO knowledge base. We also support querying temporal facts, by temporal predicates in a SPARQL-style language. Visualization of query results is provided in order to better understand of the dynamic nature of knowledge. Copyright 2010 ACM. 0 0
Timely YAGO: harvesting, querying, and visualizing temporal knowledge from Wikipedia Wikipedia
Knowledge harvesting
Knowledge management
Ontology
Temporal fact extraction
Temporal queries
EDBT English 2010 0 0