Title of article :
PATTERN BASED CONCEPT EXTRACTION FOR ARABIC DOCUMENTS
Author/Authors :
Dahab, M. Y. King Abdidaziz University - Faculty of Computing and Information Technology, Saudi Arabia , Idrees, A. M. Central laboratory for Agriculture Expert Systems, Egypt , Hassan, H. A. Cairo University - Faculty of Computer and Information, Egypt , Rafea, A. American University in Cairo - Computer Science Engineering Department, Egypt
Abstract :
Information Extraction from texts (IE) is one of the most promising areas of Knowledge Management (KM) applications including Knowledge Identification and Extraction. It can -for example - provide support in protocol analysis either in an automatic way (unsupervised extraction of information) or semi-automatic way (e.g. helping knowledge engineers locating the important facts in protocols, via information highlighting). In this paper we propose a semantic pattern concept extraction method which depends on applying a set of rules determined by an external agent for extracting concepts from a raw Arabic text. Considering that Arabic is lacking the existence of tools as well as necessary resources that could he used in IE, the proposed method succeeds to extract concepts from a, raw Arabic text with no use of predefined resources such as Lexicon
Keywords :
Concept Extraction , Natural Language Processing , Text Understanding
Journal title :
International Journal of Intelligent Computing and Information Sciences
Journal title :
International Journal of Intelligent Computing and Information Sciences
