Big Data Could Be Big Pain Without Semantic Search To Help Filter It
From the post:
Search Explore Engine leverages the core of its Cogito Focus technology to provides multiple ways to filter data with the help of semantic tagging and categorization. But it also includes a new interface that Scagliarini says makes it more accessible to less advanced users for intuitive, visual navigation of tags and facets, as well as interaction with search results to discover new connections and data.
One feature, the treemapgraphic, summarizes information included in a search data stream by representing each topic in a different color, using the size of squares to indicate the frequency of similar documents, and using shades of color tp distinguish recent news from older events.
“A big chunk of the innovation in Search Explore Engine is really to make it simple to integrate information,” he says. As an example, it provides an out-of-the-box geographic taxonomy for identifying specific geographic areas referenced in the dynamic information stream or licensed data streams, and enabling users to create ways to access that information using integration with maps. “So they can create an area of interest [on a map] and retrieve information mainly about that area. Or there’s the possibility to give a visualization of entity maps – all the entities included in a set of documents that you select have a visual representation that shows which kinds of entities are related to which kind of other entities, so you can use the map to filter down and identify your search criteria or your search intent,” he says.
The solution is initially targeted at advanced knowledge workers but Scagliarini says that the user base will expand pretty quickly. “This level of sophistication is done by the business analyst or the marketing managers or those dealing with extracting knowledge,” who will prepackage and distribute the information inside the organization, he says, “but we think progressively this need is broader in the organization. If you don’t have any kind of ways to filter more effectively all the information you have access to, you are already at a disadvantage and that can get only worse.”
I am torn between the two lines:
there’s the possibility to give a visualization of entity maps – all the entities included in a set of documents that you select have a visual representation that shows which kinds of entities are related to which kind of other entities, so you can use the map to filter down and identify your search criteria or your search intent (emphasis added)
or
If you don’t have any kind of ways to filter more effectively all the information you have access to, you are already at a disadvantage and that can get only worse. (emphasis added)
as to which one I like better.
The one on “entity maps” is talking about topic maps without using the term and the one about filtering captures one aspect of the modern information dilemma that topic maps can solve.
Which one do you like better?