usc-isi-i2.github.io

Information Integration Group

Information Integration Research Group. ISI's Information Integration (II) research group combines artificial intelligence, the semantic web, and database integration techniques to solve complex information integration problems. We leverage general research techniques across information-intensive disciplines, including medical informatics, geospatial data integration and the social Web. Our work has included development of:. The Karma system for semantic integration of diverse sources of data. Project Le...

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Information Integration Group | usc-isi-i2.github.io Reviews

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Information Integration Research Group. ISI's Information Integration (II) research group combines artificial intelligence, the semantic web, and database integration techniques to solve complex information integration problems. We leverage general research techniques across information-intensive disciplines, including medical informatics, geospatial data integration and the social Web. Our work has included development of:. The Karma system for semantic integration of diverse sources of data. Project Le...

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Information Integration Group | usc-isi-i2.github.io Reviews

https://usc-isi-i2.github.io

Information Integration Research Group. ISI's Information Integration (II) research group combines artificial intelligence, the semantic web, and database integration techniques to solve complex information integration problems. We leverage general research techniques across information-intensive disciplines, including medical informatics, geospatial data integration and the social Web. Our work has included development of:. The Karma system for semantic integration of diverse sources of data. Project Le...

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usc-isi-i2.github.io

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DIG: Entity Extractors

http://usc-isi-i2.github.io//entity-extractors

For Domain-Specific Insight Graphs. Easily extract features from free text using Amazon Mechanical Turk. Entity Extractors In One Hour. Created with Haiku Deck, presentation software that inspires. WHAT IS ENTITY EXTRACTOR? TUTORIAL: HOW TO USE THE TOOL. MTurk hits can be run in sandbox (developer) or live environment. Hits can be created with/without qualifications. All the possibilities are explained below. We will be definining an. Extraction for getting information from online stores, or a. But they ...

2

Karma: A Data Integration Tool

http://usc-isi-i2.github.io//karma

A Data Integration Tool. All the project publications are here. The best paper on the technical aspects of Karma is our ESWC'2012 paper. And the best application paper is our ESWC'2013 paper. Which received the best in-use paper award at the conference. Many systems have been developed to map tabular sources to ontologies. Karma is unique in that it also supports hierarchcal data sources such as XML, JSON and KML. Karma uses ontologies as a basis for integrating infomation, leveraring the class and prope...

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Craig Knoblock

http://usc-isi-i2.github.io//knoblock

Director of Information Integration Group. Research Professor of Computer Science and Spatial Sciences. Associate Director of Informatics. Craig Knoblock is a Research Professor in both Computer Science and Spatial Sciences at the University of Southern California (USC), Director of Information Integration at the Information Sciences Institute, and Associate Director of Informatics Program at USC. Technologies for building domain-specific knowledge graphs. A data integration tool. Extract information to ...

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Pedro Szekely

http://usc-isi-i2.github.io//szekely

Project Leader, Research Associate Professor. PhD in Computer Science, CMU, 1987. Detailed information about my work:. Are on this page. And useful tidbits for students are in my blog. Detailed information about Karma. In the Karma page. I would love to hear from you, connect with me on LinkedIn. I like working with students. More info here. Here is a video that illustrates how we use Karma to publish the data from the Smithsonian American Art Museum. As Linked Open Data:. I am working with Rudi Studer.

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LODStories

http://usc-isi-i2.github.io//lodstories

Learning About Art by Building Multimedia Stories. Step 1: Search for Art. Type the name of the artist or the artwork that you are interested in, and click GO, the app will find other nodes that have relationship with the one you searched, and create path accordingly. Step 2: Explore the Path. Click the node you are interested in, and the system will other nodes that is connected to the node you clicked. You may explore step by step, and finally create a path showing how things are connected.

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Information Integration Group

Information Integration Research Group. ISI's Information Integration (II) research group combines artificial intelligence, the semantic web, and database integration techniques to solve complex information integration problems. We leverage general research techniques across information-intensive disciplines, including medical informatics, geospatial data integration and the social Web. Our work has included development of:. The Karma system for semantic integration of diverse sources of data. Project Le...

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