Tutorial: Combining Google News, Entity Extraction, and Linked Data

Our June event will explore how to extract data entities from the latest breaking news, and use linked data to connect with related information. This event will feature Jans Aasman, the CEO of Franz, Inc, maker of the AllegroGraph triple store.

Entity Extraction is a technology to extract entities such as names, locations, dates, and industry specific terminology from text. We apply a professional entity extractor (Cogito from Expert System S.p.A.) to a scrape of Google News. We load the extracted entities in AllegroGraph and then link all the people and all the places mentioned in the news articles to public linked datasets such as the DBPedia and Geonames.

We'll use Gruff (Graph Browser) to demo some queries on this dataset that are currently impossible with regular search engines.

Attendees will be encouraged to download AllegroGraph and Gruff to work through the examples presented. These can be found at http://franz.com/...

Our Presenter - Jans Aasman, CEO, Franz Inc.

Jans Aasman started his career as an experimental and cognitive psychologist, earning his PhD in cognitive science with a detailed model of car driver behavior using Lisp and Soar. He has spent most of his professional life in telecommunications research, specializing in intelligent user interfaces and applied artificial intelligence projects.

From 1995 to 2004, he was also a part-time professor in the Industrial Design department of the Technical University of Delft. Jans is currently the CEO of Franz Inc., the leading supplier of commercial, persistent, and scalable RDF database products that provide the storage layer for powerful reasoning and ontology modeling capabilities for Semantic Web applications.

Dr. Aasman has gained notoriety as a conference speaker at such events as Semantic Technologies Conference, International Semantic Web Conference, Java One, Linked Data Planet, INSA, GeoWeb, ICSC, C-Shals, RuleML and DEBS.