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Capability Case:
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Automated Content Tagger
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Intent:
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To provide a way for people to add annotations to electronic content. Annotations can be comments, notes, explanations and semantic tags. Content annotation provides meta-data that is becoming increasingly important to improve the precision of search as well as context-based information retrieval and repurposing.
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Solution Story:
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AeroSWARM Automated Markup, HighWire Stanford e-Library
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AeroSWARM finds references in a news story, and renders them as semantic mark-up |
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The creation of markup from unstructured text sources such as web pages is tedious and time-consuming. Anyone who produces documents on a regular basis (e.g., intelligence analysts, commanders), or who has a large quantity of legacy documents, needs some form of automated markup assistance. Lockheed Martin has built a tool called AeroSWARM, which reduces the effort required for markup. It automatically generates OWL markup for a number of common domain-independent classes and properties. The author can then manually do markup additions and corrections to the output of AeroSWARM. A user can specify the set of web pages to mark up, and choose a target ontology. Then, AeroSWARM generates OWL markup like that shown in the figure above. The sample markup includes entities (e.g., person, place, organization), relations (e.g., Pinochet persToLoc Santiago) and co-references (e.g., Pinochet sameIndividualAs Augusto Pinochet). A table on the AeroSWARM site describes all the entities and relations that can be automatically identified and marked-up. |
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Benefits:
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Reducing the workload for annotated markup to a level manageable by human effort. The markup enables valuable business capabilities such as improved search, information discovery and retrieval.
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Featured Products:
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AeroSWARM from Lockheed Martin
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Applicable Products:
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ClearTags from ClearForest, Enigma 3C Platform from Enigma, Semio Tagger from Semio, SKIP from SemanTx Life Sciences, Stratify Discovery System from Stratify
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