Title
Inside YAGO2s: a transparent information extraction architecture
Abstract
YAGO [9, 6] is one of the largest public ontologies constructed by information extraction. In a recent refactoring called YAGO2s, the system has been given a modular and completely transparent architecture. In this demo, users can see how more than 30 individual modules of YAGO work in parallel to extract facts, to check facts for their correctness, to deduce facts, and to merge facts from different sources. A GUI allows users to play with different input files, to trace the provenance of individual facts to their sources, to change deduction rules, and to run individual extractors. Users can see step by step how the extractors work together to combine the individual facts to the coherent whole of the YAGO ontology.
Year
DOI
Venue
2013
10.1145/2487788.2487935
WWW (Companion Volume)
Keywords
Field
DocType
coherent whole,individual fact,different source,different input file,yago work,individual extractor,individual module,deduction rule,transparent information extraction architecture,information extraction,yago ontology,ontologies
Ontology (information science),Data mining,Ontology,Architecture,World Wide Web,Computer science,Correctness,Information extraction,Modular design,Merge (version control),Code refactoring
Conference
ISBN
Citations 
PageRank 
978-1-4503-2038-2
19
0.97
References 
Authors
10
3
Name
Order
Citations
PageRank
Joanna Biega122510.91
Erdal Kuzey2793.81
Fabian M. Suchanek33900188.75