N. Rubens, T. Okamoto, and D. Kaplan (Japan)
Expertise finding, information retrieval, content based, structure-based, network analysis.
In today’s knowledge-based economy, having the proper
expertise is crucial to resolving many tasks. Expertise
Finding (EF) is the area of research concerned with matching available experts to given tasks. A standard approach
is to input a task description/proposal/paper into an EF system, and receive recommended experts as output. Mostly,
EF systems operate either via a content-based approach,
which uses the text of the input, as well as the text of
the available experts’ proﬁles to determine a match, and
structure-based approaches, which use the inherent relationship between the task description and experts, such as is
available in citation networks. The majority of methods use
one approach (content-based, "C") or the other (structure
based, "S"). The underlying data representation is fundamentally different, which makes combining content-based
and structure-based approaches difﬁcult and time consuming. We propose a way to transform the structure
based representation into one usable by content-based approaches, which further lets us integrate both content-based
and structure-based analysis methods (C + S).