Automatically refining the wikipedia infobox ontology
Proceedings of the 17th international conference on World Wide Web
Database and information-retrieval methods for knowledge discovery
Communications of the ACM - A Direct Path to Dependable Software
Recommending structure in collaborative semistructured information systems
Proceedings of the fourth ACM conference on Recommender systems
Guided curation of semistructured data in collaboratively-built knowledge bases
Future Generation Computer Systems
| Hi-index | 0.00 |
Knowledge is structured - until it is stored to a wiki-like information system. In this paper we present the multi-user system SnoopyDB, which preserves the structure of knowledge without restricting the type or schema of inserted information. A self-learning schema system and recommendation engine support the user during the process of inserting information. These dynamically calculated recommendations develop an implicit schema, which is used by the majority of stored information. Further recommendation measures enhance the content both semantically and syntactically and motivate the user to insert more information than he intended to.