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 …

Interdisciplinary research on measuring the progress towards sustainability and well‐being
(SaW) from different perspectives and in various contexts has developed dramatically over …

We present TopicNets, a Web-based system for visual and interactive analysis of large sets
of documents using statistical topic models. A range of visualization types and control …

Topic modeling is a common tool for understanding large bodies of text, but is typically
provided as a “take it or leave it” proposition. Incorporating human knowledge in …

This study presents an enhanced automated approach based on literature analysis and
synthesis for establishing the dimensions of the ethnic marketing literature, covering a set of …

In this guide, we introduce researchers in the behavioral sciences in general and MIS in
particular to text analysis as done with latent semantic analysis (LSA). The guide contains …

In this paper we present a semi-automatic ontology editor as implemented in a new version
of OntoGen system. The system integrates machine learning and text mining algorithms into …

In this paper, we review two techniques for topic discovery in collections of text documents
(Latent Semantic Indexing and K-Means clustering) and present how we integrated them …

Cities are critical sites for climate action. Population and infrastructure are concentrated in
urban areas and their susceptibility to climate change impacts makes them a pivotal place to …

We propose a visualization method based on a topic model for discrete data such as
documents. Unlike conventional visualization methods based on pairwise distances such as …