To avoid missing technological opportunities and to counteract risks, organizations have to scan and monitor developments in the external environment through a structured process of technology intelligence. Previous approaches in tech mining—the application of text mining for technology intelligence —have primarily focused on the elicitation of technical or legal information from web, patent, o...

Nowadays, photos associated with spatiotemporal references are available widely on computers as well as on the Internet. There exist several tools for the exploration of photos with regard to their geographical and/or temporal structures. However, communicating spatial and temporal contents of photos remains a challenging task. In this paper, we follow Peuquet’s triad framework in visually comb...

The goal of argumentation mining, an evolving research field in computational linguistics, is to design methods capable of analyzing people’s argumentation. In this article, we go beyond the state of the art in several ways. (i) We deal with actual Web data and take up the challenges given by the variety of registers, multiple domains, and unrestricted noisy user-generated Web discourse. (ii) W...

Analyzing social interactions of CGM (Consumer Generated Media) is important for encouraging commnication among users. In the case of question-answering forums, users and QA boards constitute a heterogeneous network whose nodes are users/boards and edges are authorship. Discovering both user communities and board communities and finding correlations between them will clarify their characteristi...

The large number of user-generated videos uploaded on to the Internet everyday has led to many commercial video search engines, which mainly rely on text metadata for search. However, metadata is often lacking for user-generated videos, thus these videos are unsearchable by current search engines. Therefore, content-based video retrieval (CBVR) tackles this metadata-scarcity problem by directly...

Social media platforms constitute a valuable source of information regarding real-world happenings. In particular, user generated content on mobile-oriented platforms like Twitter allows for real-time narrations thanks to the instantaneous nature of publishing. A common practice for users is to include in the tweets links pointing to articles, media files and other resources. In this paper, we ...

Social media systems such as YouTube are gaining phenomenal popularity. As they face increasing pressure and difficulties monetising the large amount of user-generated content, there are intense interests in technologies capable of delivering revenue to the owners. In this paper, we propose to use data mining techniques to help companies increase their revenue stream. Our approach differs princ...

While there are many potential benefits of user-generated content for serious games, the variability of that content’s quality poses a serious problem. In our game, BOTS, players can create puzzles which are shared with other users. However, other players often find these puzzles irrelevant, unplayable, too difficult, or simply boring. To avoid frustrating players with low-quality puzzles, we h...

The use of tags as user generated meta-data as well as the visualisation in tag clouds has recently received a lot of attention in research and practice. This paper focuses on supporting reflection of learners by using different presentation approaches of user-generated meta-data for reflection support. Previous research has shown that implicit interest expression can be a valuable source for r...

Collaborative approaches based upon volunteered input into shared Internet-based resources are beginning to offer a radical and new alterative to more traditional mapping. This paper explores the potential of one of the most developed of these ‘open’ maps, in a case study of the OpenStreetMap project and of the practices deployed during a ‘mapping party’ in Manchester. The successes and weaknes...