Expertise Matcher: Integrating Multiple Expertise Indications to Retrieve Experts

The knowledge and expertise of employees is the major asset that knowledgebased organizations hold. In order to make use of this asset, it is necessary to enhance the communication between employees so that they can share knowledge and expertise. Expertise matching – locating experts with the specific expertise is receiving more and more attention since it facilitates people connection to each other. We develop a conceptual model to integrate multiple expertise indications from heterogeneous data sources and an expertise profile is then created based on this integrated information. This increases the chance of finding experts whilst supports users in selecting the appropriate experts by providing more detailed information of each expert. In addition, an expertise profile is extended to include both keywords form and concepts form based on the domain ontology. This combines the flexibility of keyword search and accuracy of concept search.