Saleem Abuleil and Khalid Alsamara, Chicago State University, USA

In this paper, we introduce a new approach to tackle the process of extracting information about people mentioned in the Arabic text. When a person name is mentioned in the Arabic text usually it is combined with a title, in this paper the focus is on the properties of those titles. We have identified six properties for each title with respect to gender, type, class, status, format, and entity existence. We have studied each property, identified all attributes and values that belong to each one of them and classified them accordingly. Sometimes person title is attached to an entity; we have also identified some properties for these entities and we show how they work in a harmony with person title properties. We use graphs for the implementation, nodes to represents person title, person name, entity and their properties, where edges are used to present inherited properties from parent nodes to child nodes.

People Titles, Title Properties, NLP, Arabic Language