Enterprise Collective: Connecting People via Content

Omer BARKOL, Ruth BERGMAN, Kas KASRAVI, Shahar GOLAN, Marie RISOV

ABSTRACT

We describe an application for rapidly and optimally responding to enterprise opportunities and challenges, by leveraging the tacit knowledge in an enterprise, via identifying the right subject matter expert(s). Enterprise Collective is a web application that automatically discovers experts and their expertise via semantic analysis of their work products (e.g., e-mails, patents, papers, reports, presentations, and blogs). The key feature of Enterprise Collective is being “passive”; where the employees do not fill out or maintain forms or profiles. The application provides an interactive user interface that hides the underlying complexity. Enterprise Collective can benefit any business user, without extensive training or any analytical background. The application leverages the Expert-Expertise, Expert-Documents, and Expertise-Documents relationships, and subsequently permits navigation within this knowledge space. Enterprise Collective uses technologies for semantic analysis of work products and relevance computation using graph flow. A semi-automatic taxonomy generator is used to extract expertise from documents. The “authority” of each expert in relation to an expertise is computed via the nature of the work product and frequency of references. To demonstrate the benefit of Enterprise Collective in large organization, we describe a case study.

Full Paper in PDF Document

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: