We provide a comprehensive survey of the research literature that applies Information
Extraction techniques in a Semantic Web setting. Works in the intersection of these two …

Abstract Knowledge extraction is meant by acquiring relevant information from the
unstructured document in natural language and representing them in a structured form …

Adverse drug events (ADEs) are unintended responses to medical treatment. They can
greatly affect a patient's quality of life and present a substantial burden on healthcare …

During the last decade the amount of scientific articles available online has substantially
grown in parallel with the adoption of the Open Access publishing model. Nowadays …

The internet revolution has brought about a new way of expressing an individual's opinion. It
has become a medium through which people openly express their views on various …

In recent years, the journalists and computer sciences speak to each other to identify useful
technologies which would help them in extracting useful information. This is called …

Relation extraction from unstructured Arabic text is especially challenging due to the Arabic
language complex morphology and the variation in word semantics and lexical categories …

In these days, security of citizens is considered one of the major concerns of any
government in the world. In every country, there is a huge amount of unstructured texts …

In the age of the Internet of Things, online data have witnessed a significant growth in terms
of volume and diversity, and research into information retrieval has become one of the …

Our aim is to extract information about literary characters in unstructured texts. We employ
natural language processing and reasoning on domain ontologies. The first task is to identify …