MAIstro is the combination of Thesaurus Master and MAI.  Bundled together, they form an effective semantic and metadata enrichment system that enables organizations to automate and streamline the metadata tagging process for their content, improving efficiency, consistency, and accuracy in content indexing and retrieval. It helps organizations unlock the value of their content assets by making them more discoverable and accessible to users.

Key Functionalities and features of MAIstro:

  • Automated Metadata Tagging: Automates the process of adding metadata tags to content items, such as documents, articles, or web pages. It analyzes the content using natural language processing (NLP) and machine learning techniques to identify key concepts, topics, and entities.
  • Semantic Analysis: Applies semantic analysis techniques to understand the meaning and context of the content being indexed. This enables it to generate accurate and relevant metadata tags that reflect the content’s subject matter.
  • Customizable Tagging Rules: Organizations can customize MAIstro to align with their specific indexing requirements and domain expertise. This may include configuring rules for tag suggestion, adjusting relevance thresholds, or specifying linguistic patterns for entity recognition.
  • Workflow Integration: Integrates seamlessly with existing content management systems (CMS), document repositories, manuscript submission systems and publishing platforms, including XIS. It can be configured to automatically tag content as it is ingested into the system or as part of the content creation workflow.
  • Feedback Mechanism: Includes mechanisms for human validation and feedback on the automatically generated metadata tags through the MAI Statistics module. Users can review and refine the tags as needed, providing input to improve the accuracy and relevance of the tagging process.
  • Scalability: Highly scalable and can handle large volumes of content efficiently. It helps organizations streamline their indexing workflows and reduce manual effort, especially when dealing with large document collections or rapidly changing content.
  • Batch MAI: Can be used in a fully automatic process for backfiles as well as regular document processing.