Rich location-driven tag cloud suggestions based on public, community, and personal sources

Joshi, Dhiraj; Luo, Jiebo; Yu, Jie; Lei, Phoury; Gallagher, Andrew

doi:10.1145/1877911.1877919

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…It also will be more concerned with increasing recall than precision using multiple techniques of visualization such as a novel contextual ambient cloud tags (Baldauf et al, 2009) and heat maps instead of fixed menu layouts. Although ambient cloud tags (basically tag clouds of geo-related data filter by the users location) have been used before with different SNS like Flickr and Wikipedia based on the tags and geographic information of an article or photo, none have used real-time streams from social media to build them using different contextual features proposed by this research (Joshi et al, 2010;Baldauf & Simon, 2010).…”

Section: Exploratory Mobile Searchmentioning

confidence: 99%

Context modelling for serendipitous discoveries in exploratory mobile search over social media

Cifuentes

2013

Electronic Workshops in Computing

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Ubiquitous information seeking systems have changed the way urban citizens understand and explore their world. At one time our five senses were the only way we could comprehend our surroundings, but now smartphones and other devices with access to social media have become bodily extensions which allow humans to expand their social interaction and sense what is "really happening". This paper proposes research into serendipitous discoveries and casual mobile explorations enabled by context modelling over social media. This research will use the "surrounding context" concept as lens to present information and create aggregated views of what is happening with multiple visualization techniques like real-time ambient tag cloud and heat maps. The evaluation will follow a user-centred approached both in laboratory and naturalistic scenarios focussing on leisure.

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Section: Exploratory Mobile Searchmentioning

confidence: 99%

Context modelling for serendipitous discoveries in exploratory mobile search over social media

Cifuentes

2013

Electronic Workshops in Computing

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“…de Longueville et al (2010 comment that in many real-world applications, vernacular names, which do not correspond to those official place names in gazetteers, are often used to name places by people and those who contribute to VGI projects. In fact the authors use the term "open gazetteer" to designate the concept of gazetteer enriched with vernacular place names Joshi et al (2010) remarks that one of the most "potent forms of noise in collaborative environments is the incorrect or alternate spellings associated with place-names". In the English language this form of noise is compounded by the inherent polysemy and synonymy of words in the English language.…”

Section: Tagging Objects In Osmmentioning

confidence: 99%

Using OSM for LBS – An Analysis of Changes to Attributes of Spatial Objects

Mooney

Corcoran

2012

Advances in Location-Based Services

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Abstract. The quality of volunteered and crowd-sourced spatial data is not in most cases audited prior to being made accessible to end-users. Studies have shown that this spatial data varies significantly in terms of its geometric quality, its semantic consistency, in terms of its comprehensiveness of coverage and in terms of its currency. Subsequently it often compares poorly with the authoritative data capture and mapping undertaken by national mapping agencies and commercial companies. In this paper we highlight a specific type of problem encountered with volunteered geographic information (VGI) -the naming of real-world features. Many Location-based Services (LBS) applications are using VGI as a spatial data source. The volatility in VGI, as shown by the results in this paper, will require LBS developers to carefully consider how they manage and use the spatial data sources generated by VGI and crowd-source paradigms.

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