Semaphore for Google Search Appliance (GSA)

Incorporating metadata improves search results

With Semaphore, wading through documents to find what you’re looking for is a thing of the past. With a single search you can quickly locate documents associated with your topic as well as documents that are related. For example, a search for moon buggy will return documents associated with moon buggy as well as moon rovers and lunar roving vehicle.  

Semaphore's user friendly interface to the GSA hides the hard core mechanics that provide quality metadata reflective of a machine-readable understanding of blocks of text to result in improved precision and recall.

You can quickly navigate topics, identify areas of interest, explore related topics, and locate expertise and resources with Semaphore's Google Search Appliance integration.

Semaphore enhances Google Search Appliance with:

  • Quality metadata derived from auto-classification of content
  • Accurate, complete and consistent search results
  • Improved findability by enhancing the Google enterprise search experience
  • Filtering and navigation based on metadata fields
  • Identification and exploration of related topics and areas of interest
  • Taxonomy or ontology based classification
  • Visual taxonomy/ontology explorer support
  • Auto-classification of content using the Google Search Appliance

Download Create better metadata for the GSA

GSA Features

With Semaphore, the Google Search Appliance (GSA) is transformed into a powerful semantic search engine that will precisely and rapidly retrieve the information you want when you want it.

Semaphore's user friendly interface to the GSA hides the hard core mechanics of metadata creation and focuses on improved precision and recall. By integrating the Semaphore Enterprise Semantic platform with the GSA you can improve the user experiece and save time, money and frustration.

Turn Google's Search Appliance into a powerful engine that can 'Find and Discover' what your looking for and return Precise Results and Contextual Information.

By integrating Semaphore Enterprise Semantic Platform with the Google Search Appliance you get:

Improved Content Findability with a User Friendly Interface

Taxonomy driven searches provide a rich experience however, at times the user interface can be unfriendly. Semaphore for GSA provides a user friendly interface to Google for keyword as well as taxonomy search and explore requests.

Improved Search Result Relevance

When using Semaphore content classification processes, the relavance of GSA results are increased. Semaphore and Google are tightly integrated;.during the Google indexing process, Semaphore's high-quality subject metadata is injected into the GSA index. The GSA relevance ranking algorithm assigns metadata tagged pages with a higher value, which moves them to the top of the search results section.  

Behind the corporate firewall, this process emulates the intensive keyword tagging and search engine optimization that companies invest in for their external facing websites.

GSA Technical Specifications

Smartlogic provides Google Search Appliance integration to small and large organizations. Our out of the box technology has been tested to ensure its scalability and enhanced capapbilities do not negavitely impact query response.

Semaphore for Google Search Appliance (GSA) adds classification and model driven navigation features to the Google Search Appliance. By applying tightly integrated techniques to the indexing pipeline Smartlogic provides additional, feature rich functionality to the powerful search capabilities of the GSA.

Semaphore for Google Search Appliance (GSA) adds classification and model driven navigation features to the Google Search Appliance.  By applying tightly integrated techniques to the indexing pipeline Smartlogic provides additional, feature-rich functionality to the powerful search capabilities of the GSA.

Smartlogic's integration with the GSA spans several years and many enterprise implementations to ensure that our technology continues to scale with the GSA and does not negatively impact indexing or query response.

The addition of rich metadata into the GSA index allows us to include elements such as facet filters and search elements, which are unavailable in the native GSA, to deliver enhanced search results. 

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