Semantic Search

Overview

Semantically enhanced search assists people in formulate queries by helping them build more complex, highly domain-specific queries and by suggesting context-sensitive search terms. A search engine based on semantic search offers better precision and recall. The presentation of results is enhanced for better overview of the search results. The feedback loop is closed by letting the user navigate the results, effectively creating follow-up queries.

Aduna Semantic Search benefits

  • A flexible open architecture for integration with existing information repositories. It provides an architecture on top of SPARQL endpoints that allows for the integration of multiple, heterogeneous data sets, including the use of technologies for transformation, mapping, inferencing, etc.
  • Faceted navigation that allows for browsing based on recognition rather than searching. It turns the search process into a dialogue between the user and the system.
  • Seamless integration of full-text search and faceted navigation facilitates the specific searches based on knowing precisely what you want, as well as exploring information based on ideas and concepts.
  • Visualization facilities for even more explorative information searching. Get the big picture at a glance.
  • Tagging and other forms of shared knowledge structures: make use of the intelligence and efforts of crowds in organizing information in a simple, yet effective way.

Products

Two products are the backbone of an Aduna Semantic Search infrastructure: AutoFocus and AutoFocus Server.

Summary

  • Find information faster
  • Get more accurate results
  • Gain insight into the structure of information collections
  • Spend more time actually using information
  • Leverage valuable metadata