the knowledge discovery quest

Knowledge Discovery Quest

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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.

All the data sources around us remain locked and useless

without elaborate tools to navigate and explore the

relationships between data.

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The potential of data forknowledge discovery is only as big as the capacity to intelligently search through these data.

And there’s no blunter reminder for this fact than the message: “Sorry, no content matched your criteria”

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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.

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Fortunately, there is a way to intelligently search content and it is called semantic search.

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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.

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If semantic search had a separate icon from the one traditional search has (the ubiquitous magnifying glass),it would probably have been a microscope.

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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, comparecorrelations.

As any contentis a lot more

than the mere sumof the exact words

and phrases it contains or is

described by. It is more of

a network ofconnected

entities.

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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

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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.

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.

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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 networkedview of relations, facts,

information,we mightnot know

even existed.

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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.

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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.

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www.ontotext.comYou can also reach us via email at

info@ontotext.comand 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.