Models that represent meaning as high-dimensional numerical vectors—such as latent
semantic analysis (LSA), hyperspace analogue to language (HAL), bound encoding of the …

The explosive growth of textual data on the web coupled with the increase on demand for
ontologies to promote the semantic web, have made the automatic ontology construction …

In the recent years, different Web knowledge graphs, both free and commercial, have been
created. While Google coined the term “Knowledge Graph” in 2012, there are also a few …

Ontologies have gained a lot of popularity and recognition in the semantic web because of
their extensive use in Internet-based applications. Ontologies are often considered a fine …

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 …

Ontologies are often viewed as the answer to the need for interoperable semantics in
modern information systems. The explosion of textual information on the Read/Write Web …

Background In the era of information overload, natural language processing (NLP)
techniques are increasingly needed to support advanced biomedical information …

In the last decades, the use of ontologies in information systems has become more and
more popular in various fields, such as web technologies, database integration, multi agent …

Sales, product design, and engineering teams benefit immensely from better understanding
customer perspectives. How do customers combine a product's technical specifications (ie …

Recent years have seen a great deal of work that exploits collaborative, semi-structured
content for Artificial Intelligence (AI) and Natural Language Processing (NLP). This special …