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Ontotext Further Enriches Knowledge Graphs - Latest Version of Metadata Studio Provides Text Analytics of Unstructured Documents
Tuesday, June 11, 2024

Version 3.8 provides enhanced domain model search interface, knowledge graph enrichment and extension, advanced search capabilities, improved usability, and workflow efficiency

NEW YORK, June 3, 2024 /PRNewswire/ -- Ontotext, the leading provider of enterprise knowledge graph and semantic database engines, today announced the latest version of Ontotext Metadata Studio (OMDS), a tool designed for knowledge graph enrichment through text analytics of unstructured documents. Version 3.8 aids in the creation, evaluation, and quality improvement of text analytics services. With more intuitive and effective search solution capabilities, enhancement to OMDS removes the difficulties users face when exposing semantic search over their documents, especially when they are working with their own, custom reference domain models.

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"Ontotext Metadata Studio was purposefully designed to enable users to quickly and efficiently find the exact documents they need at all times, no matter how elaborate the search criteria, to ensure a user-friendly experience," said Borislav Ankov, product owner of Metadata Studio at Ontotext. "This latest version allows users to navigate through complex business scenarios seamlessly with a combination of full-text search and specific domain-related filters, whether it's a combination of gene and protein in life sciences, a specific product with unique features in product information management, or a CV with a particular set of skills. Equally important is that documents are now discoverable through a person's own tailored domain models, regardless of what the business domain is which further supports user self-service."

New features and updates with Version 3.8 include:

    --  Enhanced Domain Model Search Interface transforms the reference
        annotation schema into a user-friendly search interface, allowing
        seamless exploration and retrieval of content based on the preferred
        domain data model. Users can now effortlessly find and utilize the rich
        and extensive data models they have created and take advantage of 
        various object classes such as documents, concepts, annotations, and the
        intricate relationships between them.
    --  Knowledge Graph Enrichment and Extension enables users to reuse their
        domain models for more than just search and exploration. Now, these
        models can be leveraged for advanced analytics and quality management,
        enhancing the enrichment and extension of the knowledge graph. The
        corpus-wide full-text search capabilities, combined with annotation
        schema filters, allow for sophisticated search queries that can identify
        priority documents for human review, additional metadata enrichment, or
        correcting automated extraction errors.
    --  Advanced Search Capabilities supports all types of searches. The
        solution allows users to conduct simple searches such as identifying
        documents containing specific text as well as complex queries that
        filter documents based on the presence or absence of certain text and
        combinations of metadata objects and property values. This advanced
        search functionality supports efficient content discovery and knowledge
        graph extension.
    --  Improved Usability and Workflow Efficiency enables users to organize
        content effortlessly by moving documents between corpora or deleting
        them from the database. Users can also rerun the latest analytics
        configurations without manual setup, saving valuable time and effort.

For more information about OMDS 3.8 and its features, please visit https://www.ontotext.com/products/ontotext-metadata-studio/

About Ontotext

Ontotext helps enterprises connect the dots of their knowledge and gain trustworthy insights across diverse data sources. For organizations looking to develop AI and ML initiatives, the company's knowledge graph platform enables organizations to create a data foundation that helps drive greater outcomes. Ontotext's graph database engine uses AI to put data in context and deliver deeper insights by interlinking information across silos and enriching with external domain knowledge. For over 16 years, they have helped leaders such as JPM Chase, S&P, Roche, Johnson Controls, and Financial Times solve mission-critical data challenges. Ontotext has developed a global ecosystem of 20+ partners and secured growth funding to deliver next-generation knowledge and data management solutions at scale. To learn more visit www.ontotext.com or follow them on Linkedin or Twitter.

Logo - https://mma.prnewswire.com/media/448827/Ontotext_Logo.jpg

View original content:https://www.prnewswire.com/news-releases/ontotext-further-enriches-knowledge-graphs---latest-version-of-metadata-studio-provides-text-analytics-of-unstructured-documents-302160870.html

SOURCE Ontotext



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