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With the continuous increase of data daily published in knowledge basesacross the Web, one of the main issues is regarding information relevance. Inmost knowledge bases, a triple (i.e., a statement composed by subject,predicate, and object) can be only true or false. However, triples can beassigned a score to have information sorted by relevance. In this work, wedescribe the participation of the Catsear team in the Triple Scoring Challengeat the WSDM Cup 2017. The Catsear approach scores triples by combining theanswers coming from three different sources using a linear regressionclassifier. We show how our approach achieved an Accuracy2 value of 79.58% andthe overall 4th place.

Triple Scoring Using a Hybrid Fact Validation Approach - The Catsear Triple Scorer at WSDM Cup 2017