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