Separating Wheat from the Chaff – A Relationship Ranking Algorithm View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2016

AUTHORS

Sumit Bhatia , Alok Goel , Elizabeth Bowen , Anshu Jain

ABSTRACT

We address the problem of ranking relationships in an automatically constructed knowledge graph. We propose a probabilistic ranking mechanism that utilizes entity popularity, entity affinity, and support from text corpora for the relationships. Results obtained from preliminary experiments on a standard dataset are encouraging and show that our proposed ranking mechanism can find more informative and useful relationships compared to a frequency based approach. More... »

PAGES

79-83

References to SciGraph publications

Book

TITLE

The Semantic Web

ISBN

978-3-319-47601-8
978-3-319-47602-5

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-47602-5_17

DOI

http://dx.doi.org/10.1007/978-3-319-47602-5_17

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030562906


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