In this article we present a set of approaches to aid the analysis of data gathered during experimentation with exploratory search systems and users acts of judging the relevance of the information retrieved by the system. We present three approaches: relevance criteria profile, relevance judgement complexity, and session visualisation. Relevance criteria profiles capture the prominence of each...

Inspired by the Google Wonder Wheel, in this paper we present Semantic Wonder Cloud (SWOC): a tool that helps users in knowledge exploration within the DBpedia dataset by adopting a hybrid approach. We describe both the architecture and the user interface. The system exploits not only pure semantic connections in the underlying RDF graph but it mixes the meaning of such information with externa...

Effective access to information on the Web, which has become vital to many users and to the whole society, is being hampered by information overload, unavailability of information, navigation issues and user diversity. We aim to facilitate the slow adoption of the Semantic Web by devising an enhanced faceted semantic browser with support for multi-paradigm exploration, personalized recommendati...

This paper proposes the usage of visualisation widgets for exploratory search with sentiment as a facet. Starting from specific design goals for depiction of ambivalence in sentiment, two visualization widgets were implemented: scatter plot and parallel coordinates. Those widgets were evaluated against a text baseline in a small-scale usability study with exploratory tasks using Wikipedia as da...

Gail described here illustrate some of the challenges for collaborative information seeking. John is a middle-aged accountant who recently underwent successful surgery for colon cancer. He knows that he can have a long life as a cancer survivor as long as he maintains a healthy lifestyle. He continues to learn about the disease, joins online support groups, and seeks tools that allow him to fin...

MOOC is a crucial platform for improving education; students are able to browse various presentation contents through the Web. Any single presentation content can only cover a small fraction of knowledge in a specific domain by a given query, and thus offers a limited depth of information. Students then have to go through series of presentation contents, but this would be time-consuming and dif...

In the information retrieval system, relevance manifestation is pivotal and regularly based on document-term statistics, i.e., term frequency (tf), inverse document (idf), etc. Query proximity (QTP) within matched documents mostly under-explored. this article, a novel framework proposed to promote among all relevant retrieved ones. The estimation weighted combination of statistics query term-te...