Description
Humans play a key aspect in technology development. They can act either as data generators (e.g, social media platforms), as data annotators (e.g., crowdsourcing initiatives), as technology developers (Humans in the Loop – HITL), and finally as the users of technology. This track aims to capture how humans can contribute to the development of SW methods and technologies, and how the SW can improve user as well as developer experience.
Topic of Interest
Topics of interest include but are not limited to:
- Collaborative creation of semantic knowledge (e.g. Linked Open Data, schema.org or Wikidata)
- Interactions between Human Computation and Machine Intelligence
- Usability and Human Factors in Semantic Web Applications
- Applications of Crowdsourcing for Semantic Web: knowledge graph creation, quality assessment, validation
- Crowdsourcing semantics; methods, dynamics, and challenges
- Responsibility and ethics of crowdsourcing
- Bias in human computation and crowdsourcing
- Querying, mining and analysis of user generated data and dynamics
- Efficiency and scalability of human involvement in semantic applications
- Ubiquitous Social Semantic Web
- Semantic social network analysis, representation, and management
- Incentives, usage, and social processes around Linked Open Data
- Semantic modelling and understanding of users
- Mining semantics from social data
- Semantically enabled social platforms and applications
- Semantic computational social science
Track Chairs
Amrapali Zaveri, Institute of Data Science, Maastricht University, Netherlands
Laura Koesten, University of Southampton, UK
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