Search results

The purpose of this paper is to investigate what triggers tourist’s use of geotag as an information sharing tool in social media.

This study divided tourists’ goals into task-involved goals (enjoyment of geotags and altruism) and ego-involved goals (anticipated extrinsic reward and desire for attention), and then examined the influences of these goals on their geotag satisfaction and information-sharing behavior by using PLS-Graph 3.0.

Whereas the anticipated extrinsic rewards, altruism, and enjoyment of geotags were found to influence their geotag satisfaction, desire for attention was not. Enjoyment of geotags was found to be the strongest predictor of tourists’ geotag satisfaction, which in turn affected their information-sharing behaviors. Based on these findings, the authors present theoretical and practical implications with suggestions for future research.

Geotag services are not identical in all social media, so study participants might have perceived the characteristics of geotags differently depending on which social media they use.

The enjoyment of geotags, altruism, and anticipated reward were found to influence geotag satisfaction; however, desire for attention was not. The results imply that enjoyment of geotags and anticipated reward strongly predict geotag satisfaction.

This paper aims to track how ecotourism has been presented in a digital world over time using geotagged photographs and internet search data. Ecotourism photographs and Google Trends search data are used to evaluate tourist perceptions of ecotourism by developing a categorization of essential attributes, examining the relation of ecotourism and sustainable development, and measuring the popularity of the ecotourism sites.

The researchers collected geotagged photographs from Flickr.com and downloaded Google search data from Google Trends. An integrative approach of content, trend and spatial analysis was applied to develop ecotourism categories and investigate tourist perceptions of ecotourism. First, the authors investigate ecotourism geotagged photographs on a social media to comprehend tourist perceptions of ecotourism by developing a categorization of key ecotourism attributes and measuring the popularity of the ecotourism sites. Second, they examined how ecotourism has been related with sustainable development using internet search data and investigate the trends in search data. Third, spatial analysis using GIS maps was used to visualize the spatial-temporal changes of photographs and tourist views throughout the world.

This study identified three primary themes of ecotourism perceptions and 13 categories of ecotourism attributes. Interest over time about ecotourism was mostly presented as its definitions in Google Trends. The result indicates that tracked ecotourism locations and tourist footprints are not congruent with the popular regions of ecotourism Google search.

This research follows the changing trends in ecotourism over a decade using geotagged photographs and internet search data. The evaluation of the global ecotourism trend provides important insights for global sustainable tourism development and actual tourist perception. Analyzing the trend of ecotourism is a strategic approach to assess the achievement of UN sustainable development goals. Factual perspectives and insights into how tourists are likely to seek and perceive natural attractions are valuable for a range of audiences, such as tourism industries and governments.

研究目的本论文旨在探索生态旅游业在电子世界中是如何随着时间而显示出来的，文章样本为带有地理标记的图片和互联网搜索数据。本文使用生态旅游图片和谷歌趋势搜索数据来评估游客对生态旅游的感知，通过对关键要素的分类，审视生态旅游和可持续发展的关系，以及衡量生态旅游基地的受欢迎程度等方法。

本论文作者从Flickr.com上搜集地理标记图片以及从谷歌趋势上下载谷歌搜索数据。样本分析通过内容、趋势、空间上的综合分析，来开发生态旅游类别和游客对生态旅游的感知。首先，我们研究了社交媒体上的生态旅游地理标记图片以理解游客对生态旅游的感知情况，以此搭建了关键生态旅游要素的类别体系，和衡量生态旅游基地的受欢迎程度。第二，我们通过使用互联网搜索数据，检测了生态旅游如何与可持续发展相连接，以及研究了搜索数据中的趋势。第三，我们使用了GIS软件来操作空间分析，对图片的空间-时间改变和游客对世界的观点做了可视化处理。

本论文确立了三项生态旅游感知的基本主题以及13项生态旅游要素类别。生态旅游互联网随着时间演化，根据谷歌趋势上的定义，被大致地展现出来。本论文研究结果表示生态旅游地理位置和游客足迹与生态旅游谷歌搜索的热门区域不全是完全吻合的。

本论文使用地理标记图片和互联网搜索数据将生态旅游发展趋势近十年的变化描画出来。全球生态旅游趋势的评估对全球可持续旅游发展和实际游客感知方面做出重要见解启示。生态旅游趋势的分析作为一种战略方法，对UN可持续发展目标的时间起到评估作用。本论文针对游客的真实感知和意见，游客如何选择和感知自然景观，这对于很多群体，比如旅游行业和政府，都有着重要意义。

The purpose of this paper is to propose a method to detect local events in real time using Twitter, an online microblogging platform. The authors especially aim at detecting local events regardless of the type and scale.

The method is based on the observation that relevant tweets (Twitter posts) are simultaneously posted from the place where a local event is happening. Specifically, the method first extracts the place where and the time when multiple tweets are posted using a hierarchical clustering technique. It next detects the co-occurrences of key terms in each spatiotemporal cluster to find local events. To determine key terms, it computes the term frequency-inverse document frequency (TFIDF) scores based on the spatiotemporal locality of tweets.

From the experimental results using geotagged tweet data between 9 a.m. and 3 p.m. on October 9, 2011, the method significantly improved the precision of between 50 and 100 per cent at the same recall compared to a baseline method.

In contrast to existing work, the method described in this paper can detect various types of small-scale local events as well as large-scale ones by incorporating the spatiotemporal feature of tweet postings and the text relevance of tweets. The findings will be useful to researchers who are interested in real-time event detection using microblogs.

The purpose of this paper is to propose the platform for effective transformation of points of interests (POIs) into augmented reality (AR), specifically into the three major software tools – Junaio, Layar and Wikitude. The objective is to facilitate the creation of POIs for common users of these programs and, thus, encourage the general public to participate in the formation of a new concept of applications using AR and location-based services.

The subject of this study was analysis of methods used for POI dynamisation under the context of location-based services. This paper suggests methodology based on database format transformation. It is focused on the creation of platform for automated geotagged POI transformation into AR.

The research results in prototype of online platform which is capable to automatically transform geotagged POI to three major AR applications. It discusses also the model implementation of this platform in Czech national tourist authority.

The paper presents a proof-of-concept of dynamisation and transformation of an unspecified number of POIs stored in a simple table database and their transformation into the AR.

Services of AR are brought for the masses to effectively dynamise tourist information.

Results could make the process of multimedialising data (POIs) more suitable for masses.

This paper presents a proof-of-concept of dynamisation and transformation of an unspecified number of POIs stored in a simple table database and their transfer into the three major AR applications.

Geotechnologies have a long tradition in several areas of society and research. The recent development of the ‘Internet of Everything’ (IoE) and Geographic Information Systems (GIS) technologies opened several doors to the contribution of tourism. Emergent technologies contributions to tourism and planning such as web mapping, augmented reality (AR), crowdsourcing and crowdsensing are relatively recent, and there is a lack of research around their potential for Creative Tourism enhancement. For example, combining web mapping with AR or storytelling can be an excellent contribution to operators, planners and tourists. For research purposes, new opportunities are open, particularly by integrating community-shared data. It is well known for the popularity of social networks, the exponential growth of photo sharing, but few studies have been implemented to understand their contribution to research. This chapter focuses on emerging geotechnologies concerning cultural mapping, Creative Tourism and sustainability. Since it is a new growing niche, more research is needed to develop and understand the potential of new approaches. Besides traditional techniques such as quantitative (e.g. surveys) and qualitative ones (e.g. interviews, focus groups and world café), it revises the role of geotechnologies on Creative Tourism development and growing activities. Results from case studies from Europe are analysed.

On October 2019, the Rubjerg Knude lighthouse (Denmark) was moved 70 metres from the cliff edge. The Danish Government spent €700,000 on the rescue operation. Using the zonal travel cost method (ZTCM), this paper aims to estimate the recreational value of this (im)movable maritime heritage building, to assess whether it was worthwhile to incur that public expenditure. This valuation is complemented by a digital reputation analysis.

A Flickr application programming interface search method extracted 795 public photos with the “Rubjerg and Knude” tags, taken between 2004 and 2019. The ZTCM analysis included 148 photographers who provided information about their residence location.

Depending on the regression models and assumptions made, the estimated economic value of the lighthouse (measured by the consumer surplus) varies between 5.5m and 133m euros. That means that the operation’s cost is only a small percentage of the expected economic recreational value.

The sample of Flickr photographers is a proxy to estimate the zonal visitation rate for a specific destination. Zonal travel cost calculations are always based on some assumptions defined by researchers.

The paper frames the role of lighthouses as an (im)movable heritage element, which provides several cultural ecosystem services – in particular aesthetic, recreational, cultural/educational, bequest and sense of place values/benefits for tourists and residents.

This study supports the political decision of preserving an identity symbol of a specific place, based solely on its recreational value.

This paper combines a monetary approach (ZTCM) with a digital reputation analysis of this iconic attraction.

This paper aims to describe the Tunepal project as an example of a music information retrieval (MIR) system that is having an impact on how musicians access, learn and play traditional Irish music around the world.

This paper describes the functionality of the Tunepal system: consisting of the tune corpus, the web site tunepal.org and mobile apps supporting iOS and Android OS. Tunepal facilitates query‐by‐title and query‐by‐playing music (QBP) searches and allows a musician to retrieve and playback scores amongst other supported functions.

Tunepal has been favorably received and musicians report that the system is being used in a variety of scenarios including archiving and the preparation of sleeve notes for commercial recordings. Tunepal has a growing user base in 25 countries.

The comprehensive tune corpus (over 16,000 compositions), the query‐by‐playing technology and the fact that the mobile apps provide access to the corpus in situ in traditional music sessions and classes make this project uniquely useful.

The purpose of this paper is to examine and compare the in situ place experiences of people in Luton and Darlington.

The study used 109,998 geotagged tweets from Luton and Darlington between 2020 and 2022 and conducted topic modelling using latent Dirichlet allocation. Lexicons were created using GPT-4 to evaluate the eight dimensions of place experience for each topic.

The study found that Darlington had higher counts in the sensorial, behavioural, designed and mundane dimensions of place experience than Luton. Conversely, Luton had a higher prevalence of the affective and intellectual dimensions, attributed to political and faith-related tweets.

The study introduces a novel approach that uses AI-generated lexicons for place experience. These lexicons cover four facets, two intentions and two intensities of place experience, enabling detection of words from any domain. This approach can be useful not only for town and destination brand managers but also for researchers in any field.

There are various online library databases available to access, but none of them include a geographic search option. The purpose of this study is to discover a suitable solution to solve this problem. To access information, it is critical to search using the geographic locations available in bibliographic databases. Geographic search functionality is available in Web-scale discovery system and services.

The approach and methods for incorporating geographic search capabilities into VuFind open source discovery software for suitable and appropriate information resource discovery among users are straightforward. Library mash-up tools and techniques were integrated by using geographic locations into a Web-scale library discovery system.

As a result, bibliographic metadata descriptions help all library users to identify and access documents more quickly and easily. It can assist users and librarians in making better use of library resources by integrating various databases with VuFind and by providing them in a single window-based interface. This system has developed a standardised geographic search architecture, and it is entirely based on the Ubuntu operating system. Furthermore, the 034 MARC 21 tag will be adjusted using the latitude and longitude website.

Web-scale library services are provided by OCLC WorldCat Discovery Services, Summon Web-scale Discovery, EBSCO Discovery Services, Primo Central and others. This Web-scale discovery services platform relies heavily on geographic search interface functionalities.

“What’s happening?” around you can be spread through the very pronounced social media to everybody. It provides a powerful platform that brings to light the latest news, trends and happenings around the world in “near instant” time. Microblog is a popular Web service that enables users to post small pieces of digital content, such as text, picture, video and link to external resource. The raw data from microblog prove indispensable in extracting information from it, offering a way to single out the physical events and popular topics prevalent in social media. This study aims to present and review the varied methods carried out for event detection from microblogs. An event is an activity or action with a clear finite duration in which the target entity plays a key role. Event detection helps in the timely understanding of people’s opinion and actual condition of the detected events.

This paper presents a study of various approaches adopted for event detection from microblogs. The approaches are reviewed according to the techniques used, applications and the element detected (event or topic).

Various ideas explored, important observations inferred, corresponding outcomes and assessment of results from those approaches are discussed.

The approaches and techniques for event detection are studied in two categories: first, based on the kind of event being detected (physical occurrence or emerging/popular topic) and second, within each category, the approaches further categorized into supervised- and unsupervised-based techniques.