Enterprise Semantic Search
Search is, by far, the most-oft cited IT need of enterprises. Semantic search seeks to improve search accuracy by understanding searcher intent and the contextual meaning of terms as they appear in the searchable dataspace; enterprise search is the practice of providing search across content from multiple enterprise-type sources, including documents and databases, optimally also with Web sources. The Open Semantic Framework combines these two enterprise and semantic functions.
In operation, these OSF capabilities lead to a number of enterprise search advantages:
- Searches based on the meaning of queries, not specific keywords
- The automatic faceting of content by type, concept, or attributes, which enables powerful filtering and narrowing capabilities
- Inferencing, which means that searches can return broader results in context
- Creation of search profiles, which are reusable search configurations including faceting and filtering that can also work as search templates given a specific search context
- Ability to boost or adjust search results rankings on all aspects (datasets, entities, fields, and values) within the information store
- Differential search results depending upon the access rights and privileges of the requesting searcher
- Superior search space navigation and discovery
- Ability to do geo-locational based searches
- Ability to differentially specify AND and OR operator behavior based on search context
- Easier ability to get counts or auto-completions for any search field.
Any and all aspects of information managed by OSF can avail themselves of these search capabilities.
However, despite the importance of search, it is in conjunction with other knowledge management functions that OSF further shines. OSF provides broader platform capabilities in:
- Enterprise information integration
- Open government
- Semantic publishing, and
- Distributed collaboration.