We understand that semantic information is a living, evolving part of your content and your business. As such, our RSuite® products include several semantic search-supporting architectural features and tools provide semantic search answers and navigation from simple to complex, but also enable a robust, dynamic semantic strategy.
A user can search and discover content by keyword, user, date, document identifier, XPath, customer-defined and system metadata, and more. RSuite® search services provide industry-leading search capabilities covering full-text search, relevancy ranking, integration with non-search systems currently used, metadata-based faceted search, search logs, custom search, proximity search, and targeted search. Wildcards such as * and ? are available. System metadata filters include creation and modified dates, file type, XML element type (if relevant), folder type, etc.
We support full-text search of XML, Microsoft Office, Adobe PDF, and HTML artifacts. We include metadata values when performing full-text searches, enhancing findability and content reuse.
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While the use of semantic information for search and navigation of content repositories is well-known, there are many potential benefits beyond these basics to move your content from simple semantic enrichment to a robust, dynamic semantic strategy.
RSuite® has an available taxonomy manager library which allows the import of the customer’s taxonomy/ontology hierarchy structure. Via customization, the taxonomy can be mapped from a stored format such as XML or spreadsheet to a taxonomy model within RSuite®.
We created semantic data services to support search, automated correlation, and semantic navigation. Implementation of semantic data services is specific to each client; however, the end results always provide a more efficient way to organize, retrieve, and understand your data.
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