Name
Abstract | ||
|---|---|---|
This paper examines the requirements and argues about the features that an ontological knowledge base should encompass in order to represent semantic information pertinent to a user and suitable for context-aware preference elicitation and content recommendation. It explores existing formal ontologies suitable to represent user characteristics and the diverse information in digital media, as well as the opportunities and shortcomings that linked open data vocabularies bring into play. Based on these aspects, the paper concludes with the reasoning behind the composition of an appropriate reference ontology for the personalisation task of the LinkedTV EU project. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/SMAP.2012.10 | SMAP |
Keywords | Field | DocType |
knowledge based systems,ontologies (artificial intelligence),ubiquitous computing,LinkedTV EU project,content recommendation,context-aware preference elicitation,formal ontology,networked media,ontological knowledge base,open data vocabularies,semantic information,semantic personalisation,context,linked open data,ontologies,personalisation | Ontology (information science),Ontology,Preference elicitation,World Wide Web,Computer science,Knowledge-based systems,Linked data,Knowledge base,Digital media,Personalization | Conference |
Citations | PageRank | References |
2 | 0.40 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dorothea Tsatsou | 1 | 22 | 2.90 |
| Vasileios Mezaris | 2 | 803 | 81.40 |
| Ioannis Kompatsiaris | 3 | 1404 | 197.36 |