In this paper we present an approach to document enrichment, which consists of developing and integrating formal knowledge models with archives of documents, to provide intelligent...
Enrico Motta, Simon Buckingham Shum, John Domingue
This article describes the modeling of clinical examinations in oral medicine using OWL. Based on experiences from our previous work and knowledge model, requirements for an ontolo...
Managing time-stamped data is essential to clinical research activities and often requires the use of considerable domain knowledge, which is difficult to support within database ...
Martin J. O'Connor, Ravi D. Shankar, David B. Parr...
A learner model must store all the relevant information about a student, including knowledge and attitude. This paper proposes a domain independent learner model based in the class...
Ontology is a comprehensive knowledge model which enables the developer to practice a “higher” level of reuse of knowledge. Typically, different modeling languages are employe...
This paper describes a particular knowledge acquisition tool for the construction and maintenance of the knowledge model of an intelligent system for emergency management in the fi...
Knowledge models are structured representations of knowledge using symbols to represent pieces of knowledge and relationships between them, while a knowledge building community inv...
An Association Rule (AR) is a common knowledge model in data mining that describes an implicative cooccurring relationship between two disjoint sets of binary-valued transaction d...
Yanbo J. Wang, Xinwei Zheng, Frans Coenen, Cindy Y...
We present an interactive system to query, explore and navigate data according to a hierarchical knowledge model that had been automatically populated from unstructured textual da...
Anni Coden, Igor L. Sominsky, Michael A. Tanenblat...
An Enterprise Semantic Integration System (ESIS) provides cross-domain and cross-department insights by normalizing and merging structured, semistructured, and unstructured data s...