Today's web searches use a centralized, one-size-fits-all approach that searches the Internet with the same set of tools for all queries. While that model has been wildly successful commercially, it does not work well for many government use cases. To help overcome these challenges, DARPA launched the Memex program in September 2014.
Memex seeks to develop software that advances online search capabilities far beyond the current state of the art. The goal is to invent better methods for interacting with and sharing information, so users can quickly and thoroughly organize and search subsets of information relevant to their individual interests. Creation of a new domain-specific indexing and search paradigm will provide mechanisms for improved content discovery, information extraction, information retrieval, user collaboration and extension of
current search capabilities to the deep web,the dark web, and nontraditional (e.g. multimedia) content. DARPA is funding 17 teams to collaboratively develop software to solve this challenge. NASA JPL, Kitware, and Continnum are working in collaboration to develop and improve the Memex search technology. Currently, the team is using the software to address complex search problems including human trafficking, court documents, and research papers.
Memex Explorer is a pluggable framework for domain specific crawls, search, and unified interface for Memex Tools. It includes the capability to add links to other web-based apps.
ImageCat analyses images and extracts their EXIF metadata and any text contained in the image via OCR. It can handle tens of millions of images.
LegisGATE is an application for running General Architecture Text Engineering over legislative resources.
FacetSpace allows the investigation of large data sets based on the extraction and manipulation of relevant facets.
ImageSpace provides the ability to analyze and search through large numbers of images based on associated metadata and OCR text or by uploading an image.
These are the domains that we are actively working in with Memex.
Collects data and information around victims of human trafficking with geospatial informatics capabilities
Manages photos of potential terrorists and finds other places they exist on the web
Collect and analyzes data from research papers to create shared knowledge around an issue or topic
Crawls the web for court documents to help identify human traffickers
In Proceedings of the 14th International Workshop on Mining and Learning with Graphs held in conjunction with the ACM Conference on Knowledge Discovery and Data Mining (KDD 2018) | Read this article
Authors: Asitang Mishra, Chris A. Mattmann, Paul M. Ramirez, and Wayne M. Burke
Thirtieth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI), New Orleans, LA, February 2-7, 2018 | Read this article
Authors: Kiri L. Wagstaff, You Lu, Alice Stanboli, Kevin Grimes, Thamme Gowda and Jordan Padams
In Proceedings of AAAI/ACM Conference on AI, Ethics, and Society 2018 | Read this article
Authors: Kyle Hundman, Thamme Gowda, Mayank Kejriwal, Benedikt Boecking
In Proceedings of the GTA3 2018: Workshop on Graph Techniques for Adversarial Activity Analytics held in conjunction with the 11th ACM International Conference on Web Search and Data Mining (WSDM 2018) 2018 | Read this article
Authors: Suzanne Stathatos, Asitang Mishra, Chris A. Mattmann
In Proceedings of the GTA3 2018: Workshop on Graph Techniques for Adversarial Activity Analytics held in conjunction with the 11th ACM International Conference on Web Search and Data Mining (WSDM 2018) 2018 | Read this article
Authors: Anastasia Menshikova, Chris A. Mattmann
In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, Nova Scotia, Canada, August 2017 | Read this article
Authors: Kyle Hundman, Chris A. Mattmann
In Proceedings of the IEEE International Conference on Reuse and Integration. San Diego, CA, USA., August 4-6, 2017. | Read this article
Authors: Joey Hong, Chris A. Mattmann, Paul M. Ramirez
In Proceedings of the Multimedia Forensics and Security Workshop colocated with the ACM International Conference on Multimedia Retrieval (ICMR), Bucharest, Romania, June 2017. | Read this article
Authors: Thamme Gowda, Kyle Hundman, Chris A. Mattmann
In Proceedings of the ACM International Conference on Multimedia Retrieval (ICMR), Bucharest, Romania, June 6-9, 2017 | Read this article
Authors: Chris A. Mattmann, Madhav Sharan
In Proceedings of the Grace Hopper Celebration India (GHCI) 2016 Conference, Bangalore, India, December 7-9, 2016 | Read this article
Authors: Z. Parekh, C. Mattmann and K. Singh
In Proceedings of the 23rd IEEE International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 4-8 Dec. 2016. | Read this article
Authors: H. Zhaohui Sun, Jeff Buames, Paul Tunison, Matt Turek, and Anthony Hoogs
In Proceedings of the IEEE International Conference on Information Reuse and Integration, Pittsburgh, Pennsylvania, USA, July 28-30, 2016 | Read this article
Authors: Thamme Gowda, Chris A. Mattmann
In Proceedings of the IEEE International Conference on Information Reuse and Integration, Pittsburgh, Pennsylvania, USA, July 28-30, 2016 | Read this article
Authors: Chris A. Mattmann, Madhav Sharan
In Proceedings of the Workshop on Search and Exploration of X-Rated Information (SEXI) - 9th ACM International Conference on Web Search and Data Mining, San Francisco, California, USA. February 22-25, 2016 | Read this article
Authors: Chris A. Mattmann, Grace Hui Yang, Harshavardhan Manjunatha, Thamme Gowda N, Andrew Jie Zhou, Jiyun Luo, Lewis John McGibbney
In Proceedings of the AAAI Workshop on Knowledge Extraction from Text, Phoenix, AZ, February 12-13, 2016 | Read this article
Authors: Kiri L. Wagstaff, Ellen Riloff, Nina L. Lanza, Chris A. Mattmann, Paul M. Ramirez
In Proceedings of the Text Retrieval Conference (TREC), National Institute of Standards and Technology, Gaithersburg, Maryland USA, November 17-20, 2015.| Read this article
Authors: Annie Bryant Burgess, Chris A.Mattmann, Giuseppe Totaro, Lewis John McGibbney, Paul M. Ramirez
NASA JPL and Kitware are working in collaboration to develop and improve the Memex search technology. Currently, the team is using the software to address complex search problems including human trafficking, court documents, and research papers.
The Data Science Team at JPL coordinates research, development and operations of data intensive and data-driven science systems, methodologies and technologies across JPL Engineering, Science and Programs.
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