Streamlining Job Searches Using Semantic Web

At’s upcoming Semantic Web Summit, experts will explore the many ways in which this blossoming technology will alter the way we share information and utilize data online. One application is the job search. Writer Katie Bunker asked Martin Hepp, professor of general management and e-business at Universität der Bundeswehr München in Germany, and chief executive officer of Hepp Research GmbH, to explain further: How does this technology apply to a job search, and change the user experience both from an employer’s standpoint as well as from a job seeker’s?

“Job posts and resumes are usually available in a structured form already, but when we use the current Web for matching open positions and candidates, the Web acts as a giant shredder for data structure and data semantics: My own resume on a Web page only contains text about my qualifications, and a company’s ‘open positions’ page contains only weakly structured data about the job. This means that computers cannot help a great deal in suggesting matches.”

“With [semantic technology], anybody can expose his or her skills and expertise as structured data, either on a personal Web page, a social Web application for business connectivity (e.g. LinkedIn), or a dedicated ‘Semantic Web’ job site. Companies can publish their demand for labor the very same way. Then, novel matchmaking engines can suggest high-quality matches.”

Martin Hepp digs into how to create a strategy around linked data, e-commerce, marketing and brand positioning at the upcoming Semantic Web Summit East Nov. 16-17 in Boston.