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 …

Information extraction (IE) aims to retrieve certain types of information from natural language
text by processing them automatically. For example, an IE system might retrieve information …

Ontologies provide a means to store knowledge in a machine-readable format. Ontology
population is the task of updating an ontology with new facts from an input knowledge …

A number of text mining and information extraction projects such as Text Runner and NELL
seek to automatically build knowledge bases from the rapidly growing amount of information …

This book concerns non-linguistic knowledge required to perform computational natural
language understanding (NLU). The main objective of the book is to show that inference …

Information Extraction is a process to retrieve Information from Natural Language Text or
unstructured text by automated process. OBIE [1](Ontology based Information Extraction) is …

To fully automate building code compliance checking, regulatory requirements need to be
automatically extracted and transformed from building codes. Existing regulatory …

To allow for a direct connection of this linguistic information for terms with corresponding
classes and properties in a domain ontology, we developed a lexicon model (LingInfo) that …

In this paper, we describe an approach to populate an existing ontology with instance
information present in the natural language text provided as input. An ontology is defined as …

The paradigm of evidence-based medicine requires that medical decisions are made on the
basis of the best available knowledge published in the literature. Existing evidence is often …