Adding Semantic Search to Apache Solr™
To add semantic capabilities to Apache Solr, developers need to install the Redlink Solr Plugin which relies on the Analysis API. The Plugin enhances documents by extracting named entities and facts during Solr updates. Adding the Plugin into an existing Solr repository can be done within minutes, avoiding any major integration effort.
The global enterprise search market reached revenues of more than US$1.47bn in 2012 and this figure has been forecasted by Frost & Sullivan will reach US$4.68bn by 2019.
As Search vendors are looking beyond meta-data tagging and towards deep-content analysis algorithms and pattern detection, Search users are becoming more aware of the effectiveness of conceptual and semantic search.
Redlink Apache Solr Plugin
VIDEO – Introducing the Redlink Apache Solr Plugin”
Here at Redlink we see this demand coming from various verticals such as the public sector willing to provide better access to documents and public knowledge bases to eCommerce platform providers willing to increase the effectiveness of their platforms in terms of sales volume and revenues.
We designed the Solr Plugin with these requirements in mind to add Semantic Search to Apache Solr™ the popular, fast and Open Source enterprise search platform from the Apache Lucene™ project.
To add semantic capabilities to Apache Solr, as described by Thomas Kurz in this screencast, the Redlink Solr Plugin uses our Analysis API. The Plugin enhances documents by extracting named entities and facts during Solr updates. Adding the Plugin into an existing Solr repository can be done within minutes, avoiding any major integration effort.
To display cutting edge results using faceted search and autosuggest you can simply add Redlink Semantic Technology with a 5 minute installation and a valid API Key: register to get one and download the plugin.