playence prose: Textual Semantic Search Engine

Screenshots

Features

• Automatic multi-language knowledge extraction:

  • Locate and extract the relevant domain knowledge present.
  • Annotate assets efficiently for later use.
• Configurable domain knowledge:

  • Customization of domain model and knowledge to use.
  • Different views on the same asset depending on user needs.
• Semantic search:

  • Keywords, entities and conceptual relations search.
  • Query expansion and reduction.
  • Synonym support and subsution among others.
  • Predictive search.
• Faceted search:

  • Creation of structured properties from unstructured content.
  • Search and filtering over defined properties.
• Named Entity Recognition (NER) and Topic Recognition:
  • Identification of names of persons, locations, dates, brands, etc.
  • Identification of main topic and annotation.
• Multiformat support:
• Word processing documents, eMail, HTML, XML. 
• Multilingualism:
• Support for a wide variety of languages.
• Complex cross-language query and asset retrieval.
• Dynamic document interlinking:
• Dynamically association creation among documents based on Linked Data cloud.
• Relationships among asset in heterogeneous information sources, internal or external.
• Browsing and asset navigation:
• Powerful browsing engine to keep sight of huge amounts of textual information.
• Eases finding, discovering and accessing the required textual resources.
• Relationship viewer:
• Snapshot view of a portion of the subjacent data model.
• Document set filtering by way of query expansion and reduction.
• Probabilistic tag clouds:
• Snapshot of the most relevant tags to the current set of documents.
• Document set filtering by way of query expansion and reduction.