Increasing progress in numerous research fields and information technologies, led to an increase the publication of papers. Therefore, researchers take a lot time find interesting papers that are close their field specialization. Consequently, this paper we have proposed documents classification approach can cluster text into meaningful categories which contain similar scientific field. Our pre...

Abstract Graph databases are applied in many applications, including science and business, due to their low-complexity, low-overheads, lower time-complexity. The graph-based storage offers the advantage of capturing semantic structural information rather than simply using Bag-of-Words technique. An approach called Knowledgeable graphs (K-Graph) is proposed capture knowledge. Documents stored gr...

Understanding movement described in text documents is important since descriptions of contain a wealth geographic and contextual information about the people, wildlife, goods, much more. Our research makes several contributions to improve our understanding text. First, we show how interpreting challenging because general spatial terms, linguistic constructions that make thing(s) moving unclear,...