Abstract

1. Motivation and Goals. e success of data mining and search technologies is largely a ributed to the e cient and e ective analysis of structured data. e construction of a well-structured, machine-actionable database from raw data sources is o en the premise of consequent applications. Meanwhile, the ability of mining and reasoning over such constructed databases is at the core of powering various downstream applications on web and mobile devices. Recently, we have witnessed a signi cant amount of interests in building large-scale knowledge bases (KBs) from massive, unstructured data sources (eg, Wikipedia-based methods such as DBpedia [9], YAGO [19], Wikidata [22], automated systems like Snowball [1], KnowItAll [5], NELL [4] and DeepDive [15], and opendomain approaches like Open IE [2] and Universal Schema [14]); as well as mining and reasoning over such knowledge bases to empower a wide …

Date

February 2, 2018

Authors

Xiang Ren, Craig Knoblock, William Wang, Yu Su

Book

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining

Pages

793-794