@inproceedings{20ddaf0b7cc047de9c58f096a924e9d0,
title = "Towards a data-driven ontology engineering framework",
abstract = "The dynamic nature of ontology requires a new methodology to discover the evolving semantics of a particular conceptualization and maintain the novelty of specific ontology with minimal human intervention. This paper posits a conceptual framework that supports a data-driven, iterative, and self-correcting ontology engineering methodology for developing application-oriented and light-weight ontology. The method is being tested and implemented in a work-in-progress intelligent educational system (IES) project that serves an agent-based and ontology-driven academic advising system.",
keywords = "Academic advising, Ontology engineering, Ontology evolution, Text categorization",
author = "Steve Leung and Fuhua Lin and Dunwei Wen",
year = "2008",
language = "English",
isbn = "9789868473522",
series = "Proceedings - ICCE 2008: 16th International Conference on Computers in Education",
pages = "87--91",
booktitle = "Proceedings - ICCE 2008",
note = "16th International Conference on Computers in Education, ICCE 2008 ; Conference date: 27-10-2008 Through 31-10-2008",
}