Name
Abstract | ||
|---|---|---|
Ontologies and spreading activation are known terms within the scope of information retrieval. In this paper we introduce SPREADR, an inte- grated adaptation mechanism for web applica- tions that uses ontologies for representing the ap- plication domain as well as context information like location, user history and local time. Those context factors can be modeled in an ontology and be linked to certain domain nodes. In each session a Spreading Activation Network is build based on those ontologies and recognized con- text factors or user actions can trigger an acti- vation flow through this network. A node's re- sulting activation value then represents its im- portance according to the current circumstances. While identically in structure, the Spreading Ac- tivation Networks are personalized by automati- cally modifying link weights and activation lev- els of nodes. As a result the system learns about the user preferences and can adjust its adaptation mechanism for future runs through implicit feed- back. |
Year | Venue | Keywords |
|---|---|---|
2007 | LWA | information retrieval,local time,spreading activation |
Field | DocType | Citations |
Ontology (information science),Ontology,Information retrieval,Computer science,Context adaptation,Application domain,Web application | Conference | 2 |
PageRank | References | Authors |
0.37 | 18 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tim Hussein | 1 | 87 | 11.85 |
| Daniel Westheide | 2 | 2 | 0.37 |
| Jürgen Ziegler | 3 | 1028 | 300.31 |