“Poor Quality Search Results are because Enterprise Users Tag Information Inconsistently, at Too High a Level, or Not At All” Says Smartlogic
Open semantic search platform providers, Smartlogic, have made publicly available their recent webinar that discusses how to improve the search capabilities of Microsoft Sharepoint and FAST ESP, including automatic meta tagging and providing contextual search results.
Presenting in the recent webinar, which is now publicly available, are Toby Conrad from Smartlogic (http://www.smartlogic.com), Nate Treolar from Microsoft and Seth Earley from Early & Associates, and they discuss how businesses can improve the search capabilities in Microsoft Sharepoint and FAST ESP.
Smartlogic are the developers of open semantic platform, Semaphore, which uses advanced automatic content classification and ontology management to enhance the search and navigation experience in Sharepoint and FAST ESP. Semaphore enables enterprise content authors to accurately, easily and consistently tag their content, which means faster, more accurate search results for users. It also provides contextual search results, and the ability to explore broader or narrower topics, which help searchers locate their information quicker, and feel more confident in the results they have been presented with.
Both Nate and Seth discuss the messy, ambiguous nature of searching, and how refinements are often needed to original search queries to extract the context of the user’s search. With Semaphore, the contextualization of the search query is formed automatically from content classification and meta tagging of Sharepoint or FAST ESP’s documents, and delivered to the user in a simple, effective way to help them find the right information.
As well as basic meta data for documents, Semaphore enables entity extraction, for example, a person’s name, or other instances of a given phrase within a document, to enable refinement of the search – delivering clearer, more defined results from ambiguous searches.
The presenters refer to these search enhancement features as thinking of search beyond the white box. “Search is a conversation facilitated by structure, meta data, information architecture,” says Seth Earley. Search is increasingly looking like navigation, he asserts, and this is supplemented by Conrad’s comments:
“Users are more confident in the relevance of a document or content when they navigate to it than if they conduct a search for it using relevant terms. Smartlogic Semaphore can create richer cataloguing of content to improve accuracy of search results, and help users to navigate to information rather than searching for it.”
About Smartlogic
Smartlogic are the UK-based creators of Semaphore, a semantic search platform that adds advanced content classification capabilities to information management systems.
Adopting a semantic content classification approach to information management delivers findability, improves the accuracy and efficacy of applying metadata and enables content integration across disparate sources.
- Media companies use Semaphore to improve the quality of their information feeds
- Government authorities use Semaphore to tag information according to their standards
- Investment banks use Semaphore to consolidate their information costs
- Online directories use Semaphore to increase their advertising revenues
- Intranets and websites use Semaphore to boost their use
- Knowledge managers use Semaphore to manage their taxonomies and ontologies
Clients include NASA, The National Health Service, ABN Amro, Bank of America and The Office of Public Sector Information.