A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Information translation, mediation, and mosaic-based browsing in the TSIMMIS system
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Evaluation of hypermedia application development and management systems
Proceedings of the ninth ACM conference on Hypertext and hypermedia : links, objects, time and space---structure in hypermedia systems: links, objects, time and space---structure in hypermedia systems
An adaptive real-time Web search engine
Proceedings of the 2nd international workshop on Web information and data management
FedeRaL: A Tool for Federating Reuse Libraries over the Internet
ADVIS '00 Proceedings of the First International Conference on Advances in Information Systems
Comparing Relationships in Conceptual Modeling: Mapping to Semantic Classifications
IEEE Transactions on Knowledge and Data Engineering
AI Communications - Agents Applied in Health Care
Design of a multi_agent system for worm spreading_reduction
Journal of Intelligent Information Systems
| Hi-index | 4.10 |
The physical and logical differences among information sources on the Internet complicate information retrieval. For instance, data is no longer just simple text or tuples, but now includes objects and multimedia. Data can also have varied and often arcane semantics. Sources have different policies, procedures, and conventions and are hosted by diverse platforms. Ontologies-models of concepts and their relationships-are a powerful way to organize query formulation and semantic reconciliation in large distributed information environments. They can capture both the structure and semantics of information environments, so an ontology-based search engine can handle both simple keyword-based queries as well as complex queries on structured data. Ontology-based interoperation is especially good at dealing with inconsistent semantics. However, ontologies are difficult to construct. The Java Ontology Editor (JOE) helps users build and browse ontologies. It also enables query formulation at several levels of abstraction. The authors discuss the use of JOE to develop a health care information system.