Kaname Kasahara

An expert recommendation system using concept-based relevance discernment

An expert recommendation system using concept-based relevance discernment is proposed. This system processes the description of a technical topic as input and then finds engineers who have a high level of expertise in that area. The technique employed is an extended vector space model that locates both technical topics and engineers in the same multi-dimensional space, and then calculates their relevance. This system can also retrieve engineers or documents that are related to afield matching a given engineers technical interests. Such a system can be expected to play the role of a persons professional network, and be a valuable tool for knowledge management among several organizations.

Viewpoint-Based Measurement of Semantic Similarity between Words

A method of measuring semantic similarity between words using a knowledge-base constructed automatically from machine-readable dictionaries is proposed. The method takes into consideration the fact that similarity changes depending on situation or context, which we call ‘viewpoint’. Evaluation shows the proposed method, although based on a simply structured knowledge-base, is superior to other currently available methods.