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Special Events
Tera Byte 100 lab
The Emergent Relationship Analytics Solution (TERAS) indexes and searches terabytes of multi-lingual, semi-structured text, extracts those pieces of content that are important to the analysts (names, phone numbers, addresses, company names, monetary amounts, etc), and uses the extracted metadata to enhance the categorization of documents and document components. Extracted entities are "marked" within the data so that they can be retrieved, and, the text data can be mined to identify indirect relationships. "Collection" metadata is captured and indexed by the system (e.g., the date/time that the information was collected), allowing temporal queries and retrievals. This very high speed and high efficiency indexing and retrieval system supports search operations across disparate data types. These search operations include fully integrated text and metadata search, as well as ontology-based text mining.
The TERAS system solution features the TeraText® database system and makes use of a number of other SAIC-developed and third party technologies for information extraction and characterization. Additional technologies include hardware from HP, storage from both HP and NetApp®, and information content from Factiva®.
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| We would like to thank: |
Reception Sponsor:
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