Category: Geotagging

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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.

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  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 […]

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  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.

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  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?

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  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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