Description
Humans play a key aspect in technology development. Either as data generators (e.g, social media platforms), as data annotators (e.g., crowdsourcing initiatives), as technology users and developers (see., Humans in the Loop – HITL), and finally as the actors being affected by trends in technology. This track aims to capture how humans can contribute to the development of SW methods and technologies, and how the SW can be used to better cater for users.
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)
- Crowdsourcing semantics; methods, dynamics, and challenges
- User consumption patterns of Semantic Web data, languages, and ontologies
- Inter-influences of users and technologies in the Semantic Web
- Incentives, usage, and social processes around Linked Open Data
- Ubiquitous Social Semantic Web
- Social media semantic processing and analysis
- Semantic social network analysis, representation, and management
- Semantic modelling and understanding of users
- Mining semantics from social data
- Semantically enabled social platforms and applications:
- Querying, mining and analysis of user generated data and dynamics
- Semantic computational social science
- Human-computer cooperative work
- Ethics and semantics
- Data privacy and semantics
Track Chairs
Anna Lisa Gentile, Almaden Research Center, San Jose, CA, USA
Lora Aroyo, VU University, Amsterdam, The Netherlands
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