Articles tagged: Data integration

  1. SciBite announces the release of SciBite Search V2.0

    In this blog we announce the v2.0 release of SciBite Search, our intelligent scientific search platform. We’ve expanded our Elsevier data connectivity, broadening the sources you can load and search, as well as a host of features that improve the user experience.

    Read
  2. SciBite launches AI-driven Semantic Search platform to help manage the Life Science data deluge

    Intelligent scientific search platform, SciBite Search, enables researchers to quickly find meaningful insights from structured and unstructured public and proprietary biomedical data.

    Read
  3. Addressing Common Challenges with Knowledge Graphs

    In this blog we describe the pivotal role of semantic enrichment in the creation of effective Knowledge Graphs, and illustrate how semantic Knowledge Graphs help answer complex scientific questions.

    Read
  4. Using the SciBite Knowledge Graph to Explore Biomedical Literature

    “Do you have a pre-made knowledge graph covering biomedical literature?” is a question we often hear at SciBite. The answer is yes we do, and in this blog post we’ll describe what our SciBite Knowledge Graph is, its content and the types of questions it can answer.

    Read
  5. What is a Semantic Knowledge Graph: Using Semantic Enrichment to connect the dots

    At a time where more and more of our customer projects revolve around knowledge graph creation, we thought it was about time we blogged on what exactly a knowledge graph is and explain a bit more about how our semantic enrichment technology is being used to facilitate the production of such a powerful data model.

    Read
  6. Powering question-driven problem solving with Semantic integration

    In this blog post hear from GSK's Scientific Lead within the Data and Computational Sciences Solutions team, Samiul Hasan on how semantic integration can be made to ultimately become part of an integrated learning framework for more informed scientific decision making.

    Read
  7. The Relationship Game – Knowledge Graphs

    Scientific knowledge can be represented as relationships between things. Thousands or millions of such relationships make a knowledge graph or network analysis. SciBite technology enables extraction of these relationships, and in doing so, can uncover knowledge that might otherwise have remained hidden

    Read
  8. Game Set and Match

    There’s been a lot in the news this week about Maria Sharapova’s failed drug test. The above quote in particular caught our attention here at SciBite Towers.

    Read

How could the SciBite semantic platform help you?

Get in touch with us to find out how we can transform your data

Contact us