NASA missions are associated with large amounts of documentation that capture the
processes, procedures, and results of the core NASA activities. This documentation
includes information that spans the subjects of: engineering, management, requirements,
standards compliance, science, and data management. While the documentation normally
satisfies certain standards for information capture as specified by ISO or other standards
bodies, specific content may be difficult for a nonspecialist to locate within a large
collection, due to the sheer volumes involved. Even when traditional keyword searches
are available, it may be difficult to identify the appropriate keyword or keyword
set to search upon, when technical vocabularies are involved. The limitation is that
indexing schemes treat a text corpus as a "bag of words" without any understanding
of its meaning or semantics. The objective of this project is to preliminarily investigate
applicability of NASA's own Semantic Web for Earth and Environmental Terminology (SWEET)
ontology to improve access to NASA mission documentation for both NASA and non-NASA
personnel. We want to initiate research on a new, more human-like structural organization
of NASA technical documentation that captures the semantics of its content, and to
develop a prototype that exploits this information to assist searching. This activity
is driven by recent discoveries in the information science disciplines of graph-based
data mining and ontology-based information processing.
Contact Info
Mail |
Rafal Angryk Computer Science Montana State University Bozeman, MT 59717 |
|
|