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The Knowledge Discovery Quest

How semantic search is transforming information retrieval and changing the way we access, manage and use data for the better.

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The Knowledge Discovery Quest

  1. 1. Knowledge Discovery Quest
  2. 2. 1 After the immense loss of knowledge that humanity underwent when the Ancient Library of Alexandria was destroyed by fire, the next biggest loss is the one that happens due to inefficient content management and Information retrieval.
  3. 3. All the data sources around us remain locked and useless without elaborate tools to navigate and explore the relationships between data. 2
  4. 4. 3 The potential of data for knowledge discovery is only as big as the capacity to intelligently search through these data.
  5. 5. And there’s no blunter reminder for this fact than the message: “Sorry, no content matched your criteria” 4
  6. 6. A lot of content will be very much likely not “match the search criteria” of someone looking for, if there isn’t a more sophisticated way to navigate the vast lands of interconnected resources, different than the “dumb” matching of keywords. 5
  7. 7. 6 Fortunately, there is a way to intelligently search content and it is called semantic search.
  8. 8. 7 While traditional information retrieval systems rely hard on keywords and links, semantic search goes deeper and beyond the mere textual representation of the content. It magnifies a lot more relations otherwise invisible by traditional search.
  9. 9. 8 If semantic search had a separate icon from the one traditional search has (the ubiquitous magnifying glass), it would probably have been a microscope.
  10. 10. 9 Magnifying large amounts of systems and the connections between them, semantic search sharpens our ability to join the dots and enhances the way we track relationships, look for clues, compare correlations.
  11. 11. As any content is a lot more than the mere sum of the exact words and phrases it contains or is described by. It is more of a network of connected entities. 10
  12. 12. 11 Semantic search analyzes the relational aspects of these entities as to address complex queries and thus foster knowledge discovery. Showing the dependencies between 10 classes
  13. 13. 12 Leveraging Semantic Web technologies, specifically, data represented in RDF and organized in formal collections of related entities (ontologies), semantic search takes information retrieval to the next level.
  14. 14. The way we access information transcends from a list of results, solely based on keyword matching to a set of connections, pertinent to the intent and the context of our specific query. 13
  15. 15. With semantic search we are able to thoroughly look up all kinds of relationships. Instead of more links, which are only a single kind of relation, a semantic approach to information retrieval leads to a networked view of relations, facts, information, we might not know even existed. 14
  16. 16. With smarter algorithms that understand the semantics, that is the meaning of our searches, and pick the most relevant result quickly and accurately, our potential to turn information into knowledge is maximized. 15
  17. 17. M a k i n g s e n s e o f t e x t a n d d a t a We are able to blend our creative forces with the analytical power of machines and use semantic search as yet another smart tool to use throughout our knowledge discovery quest. 16
  18. 18. www.ontotext.com You can also reach us via email at info@ontotext.com and directly by calling 1-866-972-6686 (North America), or +359 2 974 61 60 (Europe) Want to learn how semantic search can help enterprises turn data into insights? Try GraphDB Free and see how to lay the foundations of any smart data system.