Proceedings of the 25th ACM conference on Hypertext and social media

25th ACM Conference on Hypertext and Social Media(2017)

引用 23|浏览8
暂无评分
摘要
The 25th ACM Conference on Hypertext and Social Media -- Hypertext 2014 -- takes place in Santiago de Chile between September 1st and September 4th 2014. The Hypertext conference series is concerned with all aspects of modern hypertext research, including social media, the Semantic Web, dynamic and computed hypertext and hypermedia, as well as narrative systems and applications. The ACM Hypertext 2014 conference focuses on the role of hypertext and hyperlink theory on the Web and beyond, as a foundation for approaches and practices in the wider community -- ranging from the usage of social media to the semantics of the 'Internet of Things'. The conference also welcomes submissions that focus on the linguistic aspects of hypertext and user experience with linked entities, resources and events. Hypertext 2014 has the following tracks: Links and Connections between People, Open Data and the Semantics of Things, and User Experience and Adaptive Linking. The focus of the track \"Links and Connections between People\" is on the analysis and exploitation of links between topics, people and events in social media and beyond. What structures can be found and exposed in conversations via Twitter or Facebook? What is the role of location in mobile communications? What characterizes people whom we talk with, meet, and listen to? And what are the topics that relate us with one another? The track \"Open Data and the Semantics of Things\" focuses on the use of semantic web techniques and open data standards for the creation, aggregation, exploitation and analysis of data, information and knowledge in interlinked environments. Linked data formalisms constitute a solid basis for sharing, linking and integrating heterogeneous information, including descriptions and statistics of concrete events, buildings, persons and knowledge. Semantic technologies play an increasingly important role in analyzing and reasoning upon linked data and their connections to further hypertext structures. The track \"User Experience and Adaptive Learning\" welcomes submissions related to user modeling, personalization, hypertext structuring mechanisms, user experience, and user studies. Adaptive hypermedia and contextual information access provide a means of suggesting user directions within the interwoven web, to achieve a particular goal or to acquire knowledge. Apart from semantic aspects, semiotics and linguistics play an important role in adaptive linking and enhanced user experience. Moreover, they inform how we can use and whether we should use particular links. We received 86 submissions, of which 58 regular papers, 18 short papers and 10 posters and demos. Each submission was reviewed by at least three program committee members, followed by a metareview by the track chairs, who recommended acceptance or rejection of the papers. In several cases, full papers were accepted as short papers, and a number of interesting submissions that were not sufficiently mature yet have been accepted as posters. The final decisions were taken by the program chairs - with the exception of submissions with one of the organizing team's members involved, which have been handled separately by the general chairs. Finally, we have been able to accept 19 regular papers, 15 short papers and 15 posters and demos, which are included in these proceedings. Following tradition, Hypertext 2014 offers two awards: the Douglas Engelbart Best Paper Award and the Ted Nelson Newcomer Award. Three candidates for each award have been selected by the chairs. During the conference, an award committee will select the winners. Hypertext 2014 features two invited talks with novel and stimulating ideas. César A. Hidalgo from MIT Media Lab discusses the visualization of the development of economics, cultural production and cities. The second talk is given by Ricardo Baeza-Yates from Yahoo! Research Labs and focuses on the wisdom of ad-hoc crowds.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要