Classification of Web page content is essential to many tasks in Web information retrieval
such as maintaining Web directories and focused crawling. The uncontrolled nature of Web …

This paper contains a large literature review in the research field of Text Summarisation (TS)
based on Human Language Technologies (HLT). TS helps users manage the vast amount …

Many methods, including supervised and unsupervised algorithms, have been developed
for extractive document summarization. Most supervised methods consider the …

This book is a second edition, updated and expanded to explain the technologies that help
us find information on the web. Search engines and web navigation tools have become …

We demonstrate the usefulness of the uniform resource locator (URL) alone in performing
web page classification. This approach is faster than typical web page classification, as the …

Visual text analytics has recently emerged as one of the most prominent topics in both
academic research and the commercial world. To provide an overview of the relevant …

Abstract Internet of Things (IoT) and wearable systems are very resource limited in terms of
power, memory, bandwidth and processor performance. Sensor time series compression …

Web search engines typically provide search results without considering user interests or
context. We propose a personalized search approach that can easily extend a conventional …

Document summarization plays an increasingly important role with the exponential growth of
documents on the Web. Many supervised and unsupervised approaches have been …

We propose a novel approach for detecting visual similarity between two Web pages. The
proposed approach applies Gestalt theory and considers a Web page as a single indivisible …