Putting Semantic Search in Context

One of the challenges for a search engine is looking at unstructured data and providing structure for it. At Workhound, we have made a real investment in this capability. Just as we explore other means of presenting search results, we are always exploring other ways of making use of the technology that we’ve developed.

The announcement by Healthline that they were launching a semantic ad network shows that they have been thinking along the same lines. Internet Search is used both to navigate the web to try and make sense of it.

At Workhound.co.uk, our systems look at millions of records every day and try and make sense of them by looking at the position and context of the data and then mapping that against our data tables. This gives our systems a semantic understanding of the records and allows us to present salary and recruitment information in a clear intelligible manner (unlike this paragraph which is laden with buzzwords). It also requires constant tweaking as we encounter new terms and contexts.

It is this semantic capability that we use in our search results and will also be deployed in our semantic ad serving network tools that we are currently testing.

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Comment by william fischer on June 11, 2008 at 3:27am
We don't have any first hand experience with NetOwl. Our challenge, in general, is to make sense of global recruitment data, which is a very narrow scope of interest, and we tune our algorithms accordingly. Should we be looking at SRA?

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