Aperture: Semantic Data Access by Aduna & DFKI

Goals:

• To extract individual data objects (e.g. documents, emails, ...) from various data sources
• To extract all possible information from the binary content of these data objects (e.g. full text, titles, authors, ...)
• To deliver a storage back-end in which this information can be stored and made queryable
• To deliver an architecture that can easily be extended by others, e.g. with new document formats, data source types, ...

Still hot:

• ApertureRdfContainerProblems

Outdated

Project Overview

License

Credits

ApertureTimeline

Architecture

• DataSource Architecture
• Extractors
• Archives
• Email Interpretation
• Opening Documents
• The Use of RDF
• The Use of OSGi
• ApertureOntologyUse

API Development

• ApertureDataFactory
• ApertureDataSource
• ApertureDataObject
• ApertureDataObjectFile
• ApertureDataObjectFolder
• ApertureDataCrawler
• ApertureDataCrawlerListener
• ApertureDataAccessor
• ApertureAccessData?
• ApertureHierachicalAccess
• ApertureDataOpener - suggested!
• ApertureScanReport
• ApertureArchiveExtractor - suggested!
• ApertureExtractor - suggested!
• ApertureRDFMap

• ApertureSimpleDataCrawler - The other extreme: a simple data crawler that leaves the detection of changes to the outside.

Related

• ​http://www.research.ibm.com/UIMA/