Abstract
User profile integration from multiple social networks is indispensable
for gaining a comprehensive view on users. Although
current social networks provide access to user profile
data via dedicated apis, they fail to provide accurate schema
information, which aggravates the integration of user profiles,
and not least the adaptation of applications in the face
of schema evolution. To alleviate these problems, this paper
presents, firstly, a semi-automatic approach to extract
schema information from instance data. Secondly, transformations
of the derived schemas to different technical spaces
are utilized, thereby allowing, amongst other benefits, the
application of established integration tools and methods.
Finally, as a case study, schemas are derived for Facebook,
Google+, and LinkedIn. The resulting schemas are analyzed
(i) for completeness and correctness according to the documentation,
and (ii) for semantic overlaps and heterogeneities
amongst each other, building the basis for future user profile
integration.
| Original language | English |
|---|---|
| Title of host publication | Int. Workshop on Interoperability of User Profiles in Multi-Application Web Environments (WWW 2012) |
| Number of pages | 10 |
| Publication status | Published - 2012 |
Fields of science
- 102 Computer Sciences
- 102015 Information systems
JKU Focus areas
- Computation in Informatics and Mathematics