The Internet of Things (IoT) is expected to substantially support sustainable development of
future smart cities. This article identifies the main issues that may prevent IoT from playing …

Measuring lexical semantic relatedness is an important task in Natural Language
Processing (NLP). It is often a prerequisite to many complex NLP tasks. Despite an …

Every user has a distinct background and a specific goal when searching for information on
the Web. The goal of Web search personalization is to tailor search results to a particular …

While the study of geometry has mainly concentrated on single viewpoint (SVP) cameras,
there is growing attention to more general non-SVP systems. Here, we study an important …

Every user has a distinct background and a specific goal when searching for information on
the Web. The goal of Web search personalization is to tailor search results to a particular …

Semantic relatedness between words is a core concept in natural language processing.
While countless approaches have been proposed, measuring which one works best is still a …

As users may have different needs in different situations and contexts, it is increasingly
important to consider user context data when filtering information. In the field of web …

The evaluation of semantic relatedness between web resources is still an open challenge.
This paper focuses on knowledge-based methods that provide an alternative to corpus …

Abstract Knowledge acquisition still represents one of the main challenging obstacles to
designing intelligent systems exhibiting human-level performance in complex intelligent …

Abstract Concept recommendation is a widely used technique aimed to assist users to
chose the right tags, improve their Web search experience and a multitude of other tasks. In …