Mining Geospatial Knowledge on the Social Web

2013 ◽  
pp. 98-112
Author(s):  
Suradej Intagorn ◽  
Kristina Lerman
Keyword(s):  
Real World ◽  
Web Sites ◽  
Information Integration ◽  
Knowledge Bases ◽  
Google Earth ◽  
Social Web ◽  
Information Discovery ◽  
Real World Data ◽  
Geospatial Information ◽  
The Social

Up-to-date geospatial information can help crisis management community to coordinate its response. In addition to data that is created and curated by experts, there is an abundance of user-generated, user-curated data on Social Web sites such as Flickr, Twitter, and Google Earth. User-generated data and metadata can be used to harvest knowledge, including geospatial knowledge that will help solve real-world problems including information discovery, geospatial information integration and data management. This paper proposes a method for acquiring geospatial knowledge in the form of places and relations between them from the user-generated data and metadata on the Social Web. The key to acquiring geospatial knowledge from social metadata is the ability to accurately represent places. The authors describe a simple, efficient algorithm for finding a non-convex boundary of a region from a sample of points from that region. Used within a procedure that learns part-of relations between places from real-world data extracted from the social photo-sharing site Flickr, the proposed algorithm leads to more precise relations than the earlier method and helps uncover knowledge not contained in expert-curated geospatial knowledge bases.

Mining Geospatial Knowledge on the Social Web

2011 ◽  
Vol 3 (2) ◽  
pp. 33-47 ◽  
Author(s):  
Suradej Intagorn ◽  
Kristina Lerman
Keyword(s):  
Real World ◽  
Web Sites ◽  
Information Integration ◽  
Knowledge Bases ◽  
Google Earth ◽  
Social Web ◽  
Information Discovery ◽  
Real World Data ◽  
Geospatial Information ◽  
The Social

Up-to-date geospatial information can help crisis management community to coordinate its response. In addition to data that is created and curated by experts, there is an abundance of user-generated, user-curated data on Social Web sites such as Flickr, Twitter, and Google Earth. User-generated data and metadata can be used to harvest knowledge, including geospatial knowledge that will help solve real-world problems including information discovery, geospatial information integration and data management. This paper proposes a method for acquiring geospatial knowledge in the form of places and relations between them from the user-generated data and metadata on the Social Web. The key to acquiring geospatial knowledge from social metadata is the ability to accurately represent places. The authors describe a simple, efficient algorithm for finding a non-convex boundary of a region from a sample of points from that region. Used within a procedure that learns part-of relations between places from real-world data extracted from the social photo-sharing site Flickr, the proposed algorithm leads to more precise relations than the earlier method and helps uncover knowledge not contained in expert-curated geospatial knowledge bases.

Information Attacks and Defenses on the Social Web

2018 ◽  
pp. 216-235
Author(s):  
Agostino Poggi ◽  
Michele Tomaiuolo
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Real World ◽  
Web Sites ◽  
Online Social Networks ◽  
Social Web ◽  
Security Measures ◽  
The Social ◽  
Attacks And Defenses ◽  
Interest In Technology

Social web sites are used daily by many millions of users. They have attracted users with very weak interest in technology, including absolute neophytes of computers in general. Common users of social web sites often have a carefree attitude in sharing information. Moreover, some system operators offer sub-par security measures, which are not adequate for the high value of the published information. For all these reasons, online social networks suffer more and more attacks by sophisticated crackers and scammers. To make things worse, the information gathered from social web sites can trigger attacks to even more sensible targets. This work reviews some typical social attacks that are conducted on social networking systems, describing real-world examples of such violations and analyzing in particular the weakness of password mechanisms. It then presents some solutions that could improve the overall security of the systems.

scholarly journals HMBI: A New Hybrid Deep Model Based on Behavior Information for Fake News Detection

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Jian Xing ◽  
Shupeng Wang ◽  
Xiaoyu Zhang ◽  
Yu Ding
Keyword(s):  
Social Behavior ◽  
Real World ◽  
Detection Accuracy ◽  
Challenging Problem ◽  
Fake News ◽  
Real World Data ◽  
Model Based ◽  
Deep Model ◽  
The Social ◽  
First Time

Fake news can cause widespread and tremendous political and social influence in the real world. The intentional misleading of fake news makes the automatic detection of fake news an important and challenging problem, which has not been well understood at present. Meanwhile, fake news can contain true evidence imitating the true news and present different degrees of falsity, which further aggravates the difficulty of detection. On the other hand, the fake news speaker himself provides rich social behavior information, which provides unprecedented opportunities for advanced fake news detection. In this study, we propose a new hybrid deep model based on behavior information (HMBI), which uses the social behavior information of the speaker to detect fake news more accurately. Specifically, we model news content and social behavior information simultaneously to detect the degrees of falsity of news. The experimental analysis on real-world data shows that the detection accuracy of HMBI is increased by 10.41% on average, which is the highest of the existing model. The detection accuracy of fake news exceeds 50% for the first time.

Social Semantic Web and Semantic Web Services

2011 ◽  
pp. 22-40
Author(s):  
Stelios Sfakianakis
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Sites ◽  
World Wide ◽  
Primary Data ◽  
Social Web ◽  
Emerging Trends ◽  
The Social ◽  
Data Source ◽  
Social Semantic Web

In this chapter the authors aim to portray the social aspects of the World Wide Web and the current and emerging trends in “Social Web”. The Social Web (or Web 2.0) is the term that is used frequently to characterize Web sites that feature user provided content as their primary data source and leverage the creation of online communities based on shared interests or other socially driven criteria. The need for adding more meaning and semantics to these social Web sites has been identified and to this end the Semantic Web initiative is described and its methodologies, standards, and architecture are examined in the context of the “Semantic Social Web”. Finally the embellishment of Web Services with semantic annotations and semantic discovery functionality is described and the relevant technologies are explored.

Social Semantic Web and Semantic Web Services

2010 ◽  
pp. 207-225
Author(s):  
Stelios Sfakianakis
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Sites ◽  
World Wide ◽  
Primary Data ◽  
Social Web ◽  
Emerging Trends ◽  
The Social ◽  
Data Source ◽  
Social Semantic Web

In this chapter the authors aim to portray the social aspects of the World Wide Web and the current and emerging trends in “Social Web”. The Social Web (or Web 2.0) is the term that is used frequently to characterize Web sites that feature user provided content as their primary data source and leverage the creation of online communities based on shared interests or other socially driven criteria. The need for adding more meaning and semantics to these social Web sites has been identified and to this end the Semantic Web initiative is described and its methodologies, standards, and architecture are examined in the context of the “Semantic Social Web”. Finally the embellishment of Web Services with semantic annotations and semantic discovery functionality is described and the relevant technologies are explored.

scholarly journals GEOSPATIAL INFORMATION FROM SATELLITE IMAGERY FOR GEOVISUALISATION OF SMART CITIES IN INDIA

2016 ◽  
Vol XLI-B8 ◽  
pp. 979-985
Author(s):  
M. Mohan
Keyword(s):  
Satellite Imagery ◽  
Real World ◽  
Information Integration ◽  
Spatial Information ◽  
Smart Cities ◽  
Complex Structure ◽  
Geospatial Analysis ◽  
Geospatial Technologies ◽  
Geospatial Information ◽  
Digital Mapping

In the recent past, there have been large emphasis on extraction of geospatial information from satellite imagery. The Geospatial information are being processed through geospatial technologies which are playing important roles in developing of smart cities, particularly in developing countries of the world like India. The study is based on the latest geospatial satellite imagery available for the multi-date, multi-stage, multi-sensor, and multi-resolution. In addition to this, the latest geospatial technologies have been used for digital image processing of remote sensing satellite imagery and the latest geographic information systems as 3-D GeoVisualisation, geospatial digital mapping and geospatial analysis for developing of smart cities in India. The Geospatial information obtained from RS and GPS systems have complex structure involving space, time and presentation. Such information helps in 3-Dimensional digital modelling for smart cities which involves of spatial and non-spatial information integration for geographic visualisation of smart cites in context to the real world. In other words, the geospatial database provides platform for the information visualisation which is also known as geovisualisation. So, as a result there have been an increasing research interest which are being directed to geospatial analysis, digital mapping, geovisualisation, monitoring and developing of smart cities using geospatial technologies. However, the present research has made an attempt for development of cities in real world scenario particulary to help local, regional and state level planners and policy makers to better understand and address issues attributed to cities using the geospatial information from satellite imagery for geovisualisation of Smart Cities in emerging and developing country, India.

Exploring the role of sentiments in identification of active and influential bloggers

2016 ◽  
Vol 4 (2) ◽  
Author(s):  
Mohammad Alghobiri ◽  
Umer Ishfaq ◽  
Hikmat Khan ◽  
Tahir Malik
Keyword(s):  
Big Data ◽  
Web Sites ◽  
High Volume ◽  
Research Problem ◽  
Online Marketing ◽  
Online Discussions ◽  
Social Web ◽  
Human Behaviors ◽  
Human Interactions ◽  
The Social

The social Web provides opportunities for the public to have social interactions and online discussions. A large number of online users using the social web sites create a high volume of data. This leads to the emergence of Big Data, which focuses on computational analysis of data to reveal patterns, and associations relating to human interactions. Such analyses have vast applications in various fields such as understanding human behaviors, studying culture influence, and promoting online marketing. The blogs are one of the social web channels that offer a way to discuss various topics. Finding the top bloggers has been a major research problem in the research domain of the social web and big data. Various models and metrics have been proposed to find important blog users in the blogosphere community. In this work, first find the sentiment of blog posts, then we find the active and influential bloggers. Then, we compute various measures to explore the correlation between the sentiment and active as well as bloggers who have impact on other bloggers in online communities. Data computed using the real world blog data reveal that the sentiment is an important factor and should be considered as a feature for finding top bloggers. Sentiment analysis helps to understand how it affects human behaviors.

scholarly journals Extracting Parallel Paragraphs from Common Crawl

2017 ◽  
Vol 107 (1) ◽  
pp. 39-56
Author(s):  
Jakub Kúdela ◽  
Irena Holubová ◽  
Ondřej Bojar
Keyword(s):  
Real World ◽  
Web Sites ◽  
Locality Sensitive Hashing ◽  
Web Pages ◽  
Large Set ◽  
Real World Data ◽  
Negligible Amount ◽  
Parallel Data ◽  
Parallel Texts ◽  
The Web

Abstract Most of the current methods for mining parallel texts from the web assume that web pages of web sites share same structure across languages. We believe that there still exists a non-negligible amount of parallel data spread across sources not satisfying this assumption. We propose an approach based on a combination of bivec (a bilingual extension of word2vec) and locality-sensitive hashing which allows us to efficiently identify pairs of parallel segments located anywhere on pages of a given web domain, regardless their structure. We validate our method on realigning segments from a large parallel corpus. Another experiment with real-world data provided by Common Crawl Foundation confirms that our solution scales to hundreds of terabytes large set of web-crawled data.

Social Semantic Web and Semantic Web Services

2010 ◽  
pp. 350-368
Author(s):  
Stelios Sfakianakis
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Sites ◽  
World Wide ◽  
Primary Data ◽  
Social Web ◽  
Emerging Trends ◽  
The Social ◽  
Data Source ◽  
Social Semantic Web

In this chapter the authors aim to portray the social aspects of the World Wide Web and the current and emerging trends in “Social Web”. The Social Web (or Web 2.0) is the term that is used frequently to characterize Web sites that feature user provided content as their primary data source and leverage the creation of online communities based on shared interests or other socially driven criteria. The need for adding more meaning and semantics to these social Web sites has been identified and to this end the Semantic Web initiative is described and its methodologies, standards, and architecture are examined in the context of the “Semantic Social Web”. Finally the embellishment of Web Services with semantic annotations and semantic discovery functionality is described and the relevant technologies are explored.

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