Map Translation Using Geo-tagged Social Media
نویسندگان
چکیده
This paper discusses the problem of map translation, of servicing spatial entities in multiple languages. Existing work on entity translation harvests translation evidence from text resources, not considering spatial locality in translation. In contrast, we mine geo-tagged sources for multilingual tags to improve recall, and consider spatial properties of tags for translation to improve precision. Our approach empirically improves accuracy from 0.562 to 0.746 using Taiwanese spatial entities.
منابع مشابه
Social Street View: Blending Immersive Street Views with eo-tagged Social Media
This paper presents an immersive geo-spatial social media system for virtual and augmented reality environments. With the rapid growth of photo-sharing social media sites such as Flickr, Pinterest, and Instagram, geo-tagged photographs are now ubiquitous. However, the current systems for their navigation are unsatisfyingly oneor two-dimensional. In this paper, we present our prototype system, S...
متن کاملDeveloping a Recommendation Framework for Tourist by Mining Geo-tag Photos (Case Study Tehran District 6)
With the increasing popularity of sharing media on social networks and facilitating access to location technologies, such as Global Positioning System (GPS), people are more interested to share their own photos and videos. The world wide web users are no longer the sole consumer but they are producers of information also, hence a wealth of information are available on web 2.0 applications. The ...
متن کاملMining Semantic Sequential Patterns from Geo-tagged Photos
Social media data associated with geographic location and time information reflect people footprint in real world. Abundance of geo-referenced content represents a massive opportunity to understanding of human geographic mobility behaviors. Most trajectory mining research from geo-enabled social media data focus on spatial geometric features. Integrating trajectory analysis with semantic inform...
متن کاملDiversified Trajectory Pattern Ranking in Geo-tagged Social Media
Social media such as those residing in the popular photo sharing websites is attracting increasing attention in recent years. As a type of user-generated data, wisdom of the crowd is embedded inside such social media. In particular, millions of users upload to Flickr their photos, many associated with temporal and geographical information. In this paper, we investigate how to rank the trajector...
متن کاملIdentifying Data Noises, User Biases, and System Errors in Geo-tagged Twitter Messages (Tweets)
Many social media researchers and data scientists collected geotagged tweets to conduct spatial analysis or identify spatiotemporal patterns of filtered messages for specific topics or events. This paper provides a systematic view to illustrate the characteristics (data noises, user biases, and system errors) of geo-tagged tweets from the Twitter Streaming API. First, we found that a small perc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014