James E. Powell

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A major stumbling block preventing machines from understanding text is the problem of entity disambigua-tion. While humans find it easy to determine that a person named in one story is the same person refer-enced in a second story, machines rely heavily on crude heuristics such as string matching and stemming to make guesses as to whether nouns are(More)
Geospatial information systems provide a unique frame of reference to bring together a large and diverse set of data from a variety of sources. However, automating this process remains a challenge since: 1) data (particularly from sensors) is error prone and ambiguous, 2) analysis and visualization tools typically expect clean (or exact) data, and 3) it is(More)
In the context of collaborative eScience, digital libraries are one of many distributed, interoperable resources available to scientists that facilitate both human and machine collaboration: machine collaboration in the form of standards such as the Open Archives Initiative Protocol for Metadata Harvesting and human collaboration in the form of(More)
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