Ontology learning is the process of acquiring (constructing or integrating) an ontology (semi-
) automatically. Being a knowledge acquisition task, it is a complex activity, which becomes …

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 …

In this chapter we present a brief overview of Information Extraction, which is an area of
natural language processing that deals with finding factual information in free text. In formal …

User reviews and comments on hotels on the web are an important information source in
travel planning. Therefore, knowing about these comments is important for quality control to …

Named-entity recognition (NER) is an important task required in a wide variety of
applications. While rule-based systems are appealing due to their well-known …

Immense numbers of textual documents are available in a digital form. Research activities
are focused on methods of how to speed up their processing to avoid information …

As information extraction (IE) becomes more central to enterprise applications, rule-based IE
engines have become increasingly important. In this paper, we describe SystemT, a rule …

This paper presents a real-time news event extraction system developed by the Joint
Research Centre of the European Commission. It is capable of accurately and efficiently …

The paper describes a rule-based information extraction (IE) system developed for Polish
medical texts. We present two applications designed to select data from medical …

Rule-based information extraction is an important approach for processing the increasingly
available amount of unstructured data. The manual creation of rule-based applications is a …