Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …

The Web is causing a revolution in how we represent, retrieve, and process information Its
growth has given us a universally accessible database-but in the form of a largely …

In recent years, deep learning has achieved great success in many computer vision
applications. Convolutional neural networks (CNNs) have lately emerged as a major …

Peer-to-peer (p2p) systems are attracting increasing attention as an efficient means of
sharing data among large, diverse and dynamic sets of users. The widespread use of XML …

Purpose This study reviews the methods found in the literature for the ranking of authors,
identifies the pros and cons of these methods, discusses and compares these methods. The …

Query processing over graph-structured data is enjoying a growing number of applications.
A top-k keyword search query on a graph finds the top k answers according to some ranking …

Conventional keyword search engines are restricted to a given data model and cannot
easily adapt to unstructured, semi-structured or structured data. In this paper, we propose an …

Currently, techniques for content description and query processing in Information Retrieval
(IR) are based on keywords, and therefore provide limited capabilities to capture the …

Keyword search is a proven, user-friendly way to query HTML documents in the World Wide
Web. We propose keyword search in XML documents, modeled as labeled trees, and …

With the amount of available text data in relational databases growing rapidly, the need for
ordinary users to search such information is dramatically increasing. Even though the major …