Abstract
Concept drift refers to the phenomenon that concepts change their
intensional composition, and therefore meaning, over time. It is a
manifestation of content dynamics, and an important problem with
regard to access and scalability in the Web of Data. Such drifts go
back to contextual influences due to social embedding as suggested
by e.g. topic analysis, news detection, and trends in social networks.
Using DBpedia as a source of timestamped Linked Open Data, we
analyze the interaction between a sample of popular keywords,
as recorded by Google Trends, and their respective concept drifts
in DBpedia. For the latter task, we deploy SemaDrift, an ontology
evolution platform for detecting and measuring content dislocation
dependent on context modification. Our hypothesis is that social
embedding and awareness is an important trigger for concept drift
in crowdsourced knowledge bases on the Web.
intensional composition, and therefore meaning, over time. It is a
manifestation of content dynamics, and an important problem with
regard to access and scalability in the Web of Data. Such drifts go
back to contextual influences due to social embedding as suggested
by e.g. topic analysis, news detection, and trends in social networks.
Using DBpedia as a source of timestamped Linked Open Data, we
analyze the interaction between a sample of popular keywords,
as recorded by Google Trends, and their respective concept drifts
in DBpedia. For the latter task, we deploy SemaDrift, an ontology
evolution platform for detecting and measuring content dislocation
dependent on context modification. Our hypothesis is that social
embedding and awareness is an important trigger for concept drift
in crowdsourced knowledge bases on the Web.
| Original language | English |
|---|---|
| Title of host publication | SEMANTiCS-WS 2017 Workshops of SEMANTiCS 2017 |
| Subtitle of host publication | Joint Proceedings of SEMANTiCS 2017 Workshops co-located with the 13th International Conference on Semantic Systems (SEMANTiCS 2017) Amsterdam, Netherlands, September 11 and 14, 2017 |
| Editors | Anna Fensel, Laura Daniele |
| Publisher | CEUR-WS.org |
| Number of pages | 4 |
| Publication status | Published - 2018 |
Publication series
| Name | CEUR Worksop Proceedings |
|---|---|
| Publisher | CEUR ws.org |
| Volume | 2063 |