Textual information is becoming available in abundance on the web, arising the requirement
of techniques and tools to extract the meaningful information. One of such an important …

Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …

Introduction e term “Named Entity”, now widely used in Natural Language Processing, was
coined for the Sixth Message Understanding Conference (MUC-6)(R. Grishman & Sundheim …

The Arabic language presents researchers and developers of natural language processing
(NLP) applications for Arabic text and speech with serious challenges. The purpose of this …

The automatic extraction of information from unstructured sources has opened up new
avenues for querying, organizing, and analyzing data by drawing upon the clean semantics …

As more and more Arabic texts emerged on the Internet, extracting important information
from these Arabic texts is especially useful. As a fundamental technology, Named entity …

As more and more Arabic textual information becomes available through the Web in homes
and businesses, via Internet and Intranet services, there is an urgent need for technologies …

While much research work has been devoted to supply chain management and demand
forecast, research on designing big data analytics methodologies to enhance sales …

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The KIM platform provides a novel Knowledge and Information Management infrastructure
and services for automatic semantic annotation, indexing, and retrieval of documents. It …