Semantic search – adaptation of knowledge models

Abstract

Search applications have for many become part of their daily tools, empowering the users with easy access to vast amount of information. Despite the commonality with these tools finding quality information can still be both tedious and frustrating often involving multiples queries and analysis of extensive amounts of information. Semantic search is believed to solve many of the shortcomings found with current search applications, but still not commonly used. Semantic search has been a research area for a while, yet there are many issues to solve and improvements to make. In this talk, the author will present a variety of semantic search systems that focus on adaptation of knowledge models. The author will present different approaches for how knowledge models can be enriched or created for a domain and how they can be used in search to increase the user experience.