Ontotext Releases Metadata Studio for Complex Text Analysis
NEW YORK, BASEL, Switzerland, and SOFIA, Bulgaria, Sept. 8, 2022 — Ontotext has announced Ontotext Metadata Studio – the latest addition to the company’s portfolio, built on top of GraphDB and Ontotext Platform.
Ontotext Metadata Studio enables organizations to get more out of their content by unlocking new business models or achieving significant cost optimizations by putting their own Subject Matter Experts (SME) at the heart of any text analysis task.
A typical problem organizations have is the ability to automate the process of transforming their content into structured knowledge in a predictable and manageable way, while dealing with the changes in the reference dataset and the model drift that comes along with it.
With the help of Ontotext Metadata Studio, these organizations can use their business analysts to define Semantic Objects as specific views, abstracting developers away from the complexity and peculiarities of the knowledge graph. This allows them to reference the pre-existing domain knowledge modeled in their ontologies and annotate relevant documents following the established Annotation Guidelines for the specific use case.
Ontotext Metadata Studio can be integrated with many text analysis services via GraphDB’s Text Mining Plugin, e.g., spaCy, IBM Watson, Amazon Comprehend, Google NLP, Ontotext Tag (powering the Ontotext NOW demonstrator), etc. This enables the evaluation of a service or the suitability of a combination of services for the currently explored use case against the ground truth data produced by the annotators. This can significantly shorten the Time to market (TTM) for new product development, which studies highlight as a significant factor for a product’s success.
In many domains, the time and availability of an expert is highly valuable. Ontotext Metadata Studio helps utilize this time in the most efficient way. If the reference dataset lives in GraphDB, users don’t have to worry that it would become out of sync with the annotated data. Instead, they can use the time they’d usually spend for rework for more value-focused endeavors.
Ontotext is a global leader in enterprise knowledge graph technology and semantic database engines. Ontotext employs big knowledge graphs to enable unified data access and cognitive analytics via text mining and integration of data across multiple sources. Ontotext GraphDB engine and Ontotext Platform power business-critical systems in the biggest banks, media, market intelligence agencies, car and aerospace manufacturers.
Ontotext technology and solutions are spread wide across the value chain of the most knowledge-intensive enterprises in financial services, publishing, healthcare, pharma, manufacturing and public sectors. Leveraging AI and cognitive technologies, Ontotext helps enterprises get a competitive advantage, by connecting the dots of their proprietary knowledge and putting it in the context of global intelligence.