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Entity Summarization Based on Entity Grouping in Multilingual Projected Entity Space
2017
IEICE transactions on information and systems
Entity descriptions have been exponentially growing in community-generated knowledge databases, such as DBpedia. However, many of those descriptions are not useful for identifying the underlying characteristics of their corresponding entities because semantically redundant facts or triples are included in the descriptions that represent the connections between entities without any semantic properties. Entity summarization is applied to filter out such non-informative triples and
doi:10.1587/transinf.2016edp7235
fatcat:kn5malghcbc3ppdhlsmxmt7uzu