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May 17, 2019
NetOwl at SOFIC Conference, May 20-23
Much valuable geolocational information is contained in text. The challenge is how to unlock it.
May 08, 2019
Entity Extraction: What Is It?
It is commonly said that about 80% of all data is unstructured data, which means it is not organized in a predefined manner and is typically text-heavy and difficult to use for many applications that rely on semantically labelled, database-ready data, known as structured data. It is however possible to turn unstructured data into structured […]
January 22, 2019
NetOwl at ESRI Federal GIS Conference, Jan. 29-30
Geospatial applications rely on coordinates, but there is much untapped geospatial value buried in unstructured text beyond coordinates.
October 26, 2018
Entity Extraction: The AI Key to Unlock Your Unstructured Big Data
Here is a very common scenario for customers coming to us: daunting amounts of unstructured text data from a variety of sources, languages, and formats. How does one go about gleaning intelligence from Big Data?
September 29, 2017
Why Simple Geotagging Software Isn’t Enough to Create a Map from Text
Geotagging software automatically identifies spatial references in text and assigns latitude and longitude values to those. The challenge is the inherent ambiguity of language.
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