XML Tag Information Management System – A Workbench for Ontology-based Knowledge Acquisition and Integration

In this paper, we propose an integrated information management system in which ontology-based knowledge integration and XML-based text/data retrieval are combined using tag information and ontology management tools. The main purpose of the system is to implement a query answering system for XML-based documents in the domain of molecular biology. The aim is to provide efficient access to heterogeneous biological and genomic textual data and databases , enabling users to use a wide range of textual and non-textual resources effortlessly. Our system includes automatic term recognition, context-based automatic term clustering, ontology-based inference, and intelligent tag information retrieval. Through further description of the implementation and architecture of the system, we will demonstrate how the system can accelerate knowledge integration on the textual and non-textual resources even for novice users of the field.