Semantic Data Mining refers to the data mining tasks that systematically incorporate domain
knowledge, especially formal semantics, into the process. In the past, many research efforts …

The present paper provides a review of two research topics that are central to geospatial
semantics: information modeling and elicitation. The first topic deals with the development of …

An ontology-based information extraction algorithm for automatically extracting energy
requirements from energy conservation codes is proposed. The proposed algorithm aims to …

" Many researchers and software developers have put a lot of effort into finding solutions for
automated code checking. This book is a good summary of these efforts and provides …

Knowledge graphs are graph-based data models which can represent real-time data that is
constantly growing with the addition of new information. The question-answering systems …

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 …

Relation Extraction (RE) is the task of extracting semantic relationships between entities in a
sentence and aligning them to relations defined in a vocabulary, which is generally in the …

The process of extraction of software entities such as system, use case, and actor from an
English natural language description of a user's software requirements is a linguistic and …

Artificial intelligence and machine learning research is dedicated to building intelligent
artifacts that can imitate or even transcend the cognitive abilities of human beings. To …

Harvesting the web and social web data is a meticulous and complex task. Applying the
results to a successful business case such as brand monitoring requires high precision and …