From Text to Facts: Recognizing Ontological Facts for a New Application

Farhad Abedini, Seyedeh Masoumeh Mirhashem
2012 International Journal of Machine Learning and Computing  
Fact extraction methods are used for various aims. Here, a new method is introduced for a new applicationcomputing semantic relatedness of texts. Ontological facts are the facts about real world that are available in a knowledgebase called ontology. There are many systems to extract ontological facts from a text. State-of-the-art of these systems is SOFIE that is not appropriate to compute semantic relatedness of texts. In this paper, this problem will be explained and a new ontological facts
more » ... ontological facts extraction system is introduced that is appropriate for computing semantic relatedness of texts. For this aim, YAGO ontology will be used as a background knowledge and facts resource. In final it will be suggested that using YAGO relations can optimize ontological facts extraction system.
doi:10.7763/ijmlc.2012.v2.110 fatcat:lrg2ig5yezb5nkov3qcfbuaydu