Name
Abstract | ||
|---|---|---|
Online ontologies have become a topic of discussion in a number of meta-data and content management communities including biology. For a number of technical and social reasons, domain experts are unable to get close enough to understand the conceptualization of an ontology they may wish to reuse or access as a query model. Consequentially they face initial conceptual challenges in how they can contribute to the ontology development process and what actual benefit they can derive from their contributions in the short and medium term. To ameliorate this need we report on the KnowleFinder system that summarizes queries that can be built from ontology as a query model and translates these into natural language statements for interpretation by the domain expert. Each natural language statement can then be submitted as an A-box reasoning query and its subsequent answer is retrieved. We illustrate the system with a subset of bio- ontologies. |
Year | Venue | Keywords |
|---|---|---|
2008 | SWAT4LS | summarization,natural language generation,ontology,graph mining |
DocType | Citations | PageRank |
Conference | 1 | 0.36 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wee Tiong Ang | 1 | 82 | 6.43 |
| K Rajaraman | 2 | 380 | 31.94 |
| christopher j o baker | 3 | 329 | 30.96 |