The use of external, open resources is becoming increasingly important for the tasks of interlinking user profiles, disambiguating them and enriching them. With the growth of web data – data published following the linked data principles – such information resources are becoming more and more accessible, connectable and exploitable.

In this workshop, we aim to investigate the use of linked data for the benefit of user modeling, the new opportunities that are offered by the associated techniques, as well as the new challenges that open web data creates in this area of research.

WORKSHOP TOPICS

We invite submissions on techniques and approaches for linking user data, as well as on applications that exploit or analyze linked user profiles. Topics include, but are not limited to:

- using the Web of Data for personalization and context awareness
- connecting distributed user data into user profiles
- enriching user models with domain knowledge from the LoD and elsewhere
- schemas and ontologies for user and social graph modeling
- ontologies and metadata schemes for interoperable user models
- knowledge discovery through recommendations and guidance in the LoD
- neighborhood discovery for collaborative filtering in the LoD
- recommender systems exploiting the Web of data

Apart from long and short research papers, we specifically encourage the submission of (live) demos, prototypes and proofs of concept. In addition, we welcome two-page vision papers as input for the discussion session.

ORGANIZATION

Mathieu d'Aquin, Open University, United Kingdom
Stefan Dietze, L3S Research Center, Germany
Hendrik Drachsler, Open Universiteit Nederland
Eelco Herder, L3S Research Center, Germany