"Towards Collaboratively Learning and Populating Ontologies for the Social-Semantic Web" by Mathias Niepert, with Jessica Rubart as coordinator
Mathias Niepert · ACM SIGWEB Newsletter · 2010
In this article we present the Indiana Philosophy Ontology (InPhO) project as one of the first social-semantic web endeavors which aims to harness feedback from users who are unfamiliar with designing and populating ontologies to build a precise conceptual representation of a particular domain. This representation is initially a dynamically maintained taxonomy with several non-taxonomic relations. More complex components like class axioms and additional non-taxonomic relations will be iteratively added once more intricate reasoning techniques and a finer granularity of the representation is needed. Our approach combines statistical text processing methods, feed-back gathered through user interfaces, and logic programming approaches to create a dynamically changing, semantic representation of the discipline of philosophy. The long-term goal of the project is to build novel search and exploration applications on top of this populated representation. We describe the basic ideas and methodology of the project.