Accuracy Improvement Methods for String Similarity Measurement in POI(Point Of Interest) Data Retrieval

Ko, Eunbyul; Lee, Jongwoo

doi:10.5626/ktcp.2014.20.9.498

Cited by 2 publications

(1 citation statement)

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“…Online map services (e.g., Google maps and Bing) generally combine the aforementioned two approaches to collect a large coverage of POIs. Therefore, issues have been arisen, such as accuracy of POI [35], integrating the POI data from various [36] sources and so on. -Data collection layer gathering data is connected closely to physical world and can often be called as edge computing (or network).…”

Section: Geographical Datamentioning

confidence: 99%

Unlocking Value from Ubiquitous Data

Akerkar

Hong

2019

Information and Communication Technologies in Education, Research, and Industrial Applications

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Data is growing at an alarming rate. This growth is spurred by varied array of sources, such as embedded sensors, social media sites, video cameras, the quantified-self and the internet-of-things. This is changing our reliance on data for making decisions, or data analytics, from being mostly carried out by an individual and in limited settings to taking place while on-the-move and in the field of action. Unlocking value from data directs that it must be assessed from multiple dimensions. Datas value can be primarily classified as information, knowledge or wisdom. Data analytics addresses such matters as what and why, as well as what will and what should be done. In recent days, data analytics is moving from being reserved for domain experts to becoming necessary for the end-user. However, data availability is both a pertinent issue and a great opportunity for global businesses. This paper presents recent examples from work in our research team on ubiquitous data analytics and open up to a discussion on key questions relating methodologies, tools and frameworks to improve ubiquitous data team effectiveness as well as the potential goals for a ubiquitous data process methodology. Finally, we give an outlook on the future of data analytics, suggesting a few research topics, applications, opportunities and challenges. This paper is based on a keynote speech to the

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Section: Geographical Datamentioning

confidence: 99%