The ACM Conference on Hypertext and Social Media (HT2018)

The ACM Conference on Hypertext and Social Media (HT) is a premium venue for high quality peer-reviewed research on theory, systems and applications for hypertext and social media. The conference is held in the city of Baltimore this year. HyperText is concerned with all aspects of modern hypertext research, including social media, adaptation, personalization, recommendations, user modeling, linked data and semantic web, dynamic and computed hypertext, and its application in digital humanities, as well as with interplay between those aspects such as linking stories with data or linking people with resources. HT2018 will focus on the role of links, linking, hypertext and hyperlink theory on the web and beyond, as a foundation for approaches and practices in the wider community. 

Tutorial Program

Future Big Data systems are expected to showcase enriched cognitive abilities for data and pattern discovery for large-scale analytics on vast amounts of linked structured and unstructured multi-modal data. This would usher in the next-generation functionalities for e-commerce, transportation, IoT and smarter health-care.

However, progress in the area of data science lies at the confluence of semantic search, reasoning, knowledge representation, algorithm engineering, natural language processing and machine learning. To this end, the proposed tutorial will provide the audience with the latest breakthroughs and state-of-the-art techniques for knowledge discovery and their organization for applications like semantic linking and contextual interpretation. We further present how linked knowledge hierarchies can be compared on both structural and semantic subsumption similarities. Further, such cognitive blocks should be highly accurate and scalable, depicting just-in-time prediction and computationally cheap updates.

As a real-world manifestation, we discuss the application of techniques to novel analytical avenues like:

  • analyzing “sound maps” of urban areas to extract relationship between soundscapes, emotions and perceptions;
  • creation of dictionary for urban smell to analyze how different categories (e.g., industry, transport) correlate with air quality; and
  • retrieving topically related multimedia content segments for faster ingestion of information.

Finally, as food for thought, the tutorial will also highlight future directions of work and various open challenges.

Slides from the tutorial are available for download here.