Setu Software's Enterprise search engine provides intelligent contextual search capabilities for your enterprise intranets. With this engine you will have the ability to define and index multiple document collections. The search engine is built with performance in mind, resulting in sub-second retrieval times and highly scalable to hundreds of millions of documents. Our engine is capable of handling multiple languages along with English.
The following are the features of our enterprise search engine:
- Crawl and index of intranet websites, both online as well as from web-server file system
- Capability to crawl content from file servers
- 50 popular office file formats supported
- Ability to follow dynamic content, including Ajax and javascript
- Capability to recognize and process about 70 world languages
- Capability to handle multiple character encodings of a language, including about 60 proprietary encodings in Indian languages
- Capability to crawl and index password protected content and also Https
- User-defined custom meta-data indexing
- Multimedia content indexing using textual features
- Flexible crawl scheduling and automatic continuous crawling
- Crawl scheduling per crawl collection
- Customized database content crawl (requires customization)
- Content Management System crawling
- Content from third-party information feeds using RSS feeds
- Federated search by integrating multiple search indices through single search box
- Phrase search and boolean search capabilities
- Meta-data search capability
- UI Customization using XSL stylesheets
- Cached pages support
- Administration e-mail alerts for reports
- Forced results biasing and many more
Semantifire®
Semantifire® is a semantic search engine. Queries and documents are processed semantically that enable semantic search capabilities. The engine builds an ontology from the documents in the enterprise. Furthermore, the documents are linked to a global ontology on the web and stored in RDF, a w3c compliant representation. Storing the documents in RDF enables the user to use complex and inferential queries which are otherwise not supported by the current engines. For example, Semantifire® is capable of processing a query like "Get all resumes of candidates who worked in Fortune 500 companies" when expressed in SPARQL. Additionally, the ontology keeps growing with time. When a chunk of text is identified to be a potential concept it is added to the ontology. Nevertheless, the user/ administrator has the option to edit the ontology. Semantifire® also does content tagging by adding meta data to the document. The meta data adds meaning to the document which is otherwise not present in the text.
More features of Semantifire®:
- Scalable to any domain /Enterprise
- OWL/RDF compliant
- Entity Recognition thousands of classes
- Automatic Summary Generation