北京金港赛道怎么收费:Making Sense of Microposts

来源:百度文库 编辑:偶看新闻 时间:2024/03/29 17:01:46

Motivation and Topics

Theme: Making Sense of Microposts: Big things come in small packages

With the appearance and expansion of Twitter, Facebook Like, Foursquare, and similar low-effort publishing services, the effort required to participate on the Web is getting lower and lower. The high-end technology user and developer and the ordinary end user of ubiquitous, personal technology, such as the smart phone, contribute diverse information to the Web as part of informal and semi-formal communication and social activity. We refer to such small user input as 'microposts': these range from 'checkin' at a location on a geo-social networking platform, through to a status update on a social networking site. Online social media platforms are now very often the portal of choice for the modern technology user accustomed to sharing public-interest information. They are, increasingly, an alternative carrier to traditional media, as seen in their role in the Arab Spring and crises such as the 2011 Japan earthquake. Online social activity has also witnessed the blurring of the lines between private lives and the semi-public online social world, opening a new window into the analysis of human behaviour, implicit knowledge, and adaptation to and adoption of technology.

The challenge of developing novel methods for processing the enormous streams of heterogeneous, disparate micropost data in intelligent ways and producing valuable outputs, that may be used on a wide variety of devices and end uses, is more important than ever before. Google+ is one of the better-known new services, whose aim is to bootstrap microposts in order to more effectively tailor search results to a user's social graph and profile.

This workshop will examine, broadly:

  •  information extraction and leveraging of semantics from microposts, with a focus on novel methods for handling the particular challenges due to enforced brevity of expression;
  • making use of the collective knowledge encoded in microposts' semantics in innovative ways;
  • social and enterprise studies that guide the design of appealing and usable new systems based on this type of data, by leveraging Semantic Web technologies.

This workshop is unique in its interdisciplinary nature, targeting both Computer Science and the Social Sciences, to help also to break down the barriers to optimal use of Semantic Web data and technologies. The workshop will focus on both the computational means to handle microposts and the study of microposts, in order to identify the motivational aspects that drive the creation and consumption of such data.


Topics

The workshop will focus on four main themes: the first is the use of Semantic Web technologies with microposts in order to discover knowledge and extract information. The second theme will address Social and Web Science studies related to microposts. The last two themes of the workshop will deal with utilising microposts in novel settings. Topics include but are not limited to:

 

1. Microposts and Semantic Web technologies

  • Knowledge Discovery and Information Extraction
  • Factual Inference
  • Ontology/vocabulary modelling and learning from Microposts
  • Integrating Microposts into the Web of Linked Data

2. Social/Web Science studies

  • Analysis of Micropost data patterns
  • Political and polemical aspects of Microposts
  • Citizen empowerment through information availability
  • Motivations for creating and consuming Microposts
  • Relevance of Microposts and factors that influence them
  • Community/network analysis of Micropost dynamics
  • Ethics/privacy implications of publishing and consuming Microposts
  • Microposts in the corporate environment

3. Context

  • Utilising context (time, location, sentiment)
  • Contextual inference mechanisms
  • Social awareness streams and Online Presence
  • Event Detection and monitoring through Microposts

4. Applying Microposts

  • User profiling/recommendation/personalisation approaches using Microposts
  • Public opinion mining (i.e. political consensus, brand/product opinions)
  • Collective intelligence in inferring trends and making predictions
  • Expertise finding
  • Business analysis/market scanning
  • Urban sensing and location-based applications
  • Emergency systems and response