Cambridge, UK March 31, 2021 – SciBite, an Elsevier company and award-winning semantic technology company, today announced the launch of SciBiteSearch. The next-generation scientific search and analytics platform offers powerful interrogation and analysis capabilities across unstructured and structured data, from public and proprietary sources. Researchers today face increasing challenges around accessing and deriving meaningful insights from the ever-larger volumes of data, presented in an array of formats from multiple sources. SciBiteSearch provides scientists with access to domain specific ontology and AI-powered search capabilities, allowing users to connect and build knowledge from their data.
“Biopharmaceutical companies depend upon access to and understanding of data to advance R&D. Yet today, many data assets remain siloed,” commented Phil Verdemato, Head of Software Engineering, SciBite. “Compounding this issue, is unlike other industries where it is simply the amount of data that is the problem, it is also the variety of data streams in life sciences that presents a barrier. This makes harmonisation and comparison an uphill battle unless intelligent, purpose-built search tools are in place. The expertly tuned scientific search engine, SciBiteSearch, helps organisations address this and tackle the ‘Find’ aspect within the FAIR guiding principles for data management and stewardship.”
SciBiteSearch goes beyond traditional search methods, using knowledge graphs to augment searches and deliver not only items relevant to the query but the structure and relationship between them. The addition of AI further enhances the search experience enabling natural language understanding. SciBiteSearch can integrate data across a range of use cases including:
Building on the easy-to-use search system in DOCstore, SciBiteSearch offers an intuitive user interface, and sophisticated query and assertion indices created using SciBite’s tools and ontologies. A streaming load API, connectors, and parsers for different sources and content types make it simple to load and process content to make it searchable.
SciBite’s data-first, semantic analytics software is for those who want to innovate and get more from their data. Leading the way by pioneering the combination of the latest in machine learning with an ontology-led approach, SciBite’s semantic infrastructure answers business critical questions in real time by releasing the value and full potential of unstructured data.
Supporting the world’s leading scientific organisations with use-cases from discovery through to development, SciBite’s suite of fast, flexible, deployable API technologies empower customers, making it a critical component in scientific, data-led strategies.
As a global leader in information and analytics, Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems.
SciBite announces the release of SciBiteAI Relationship Extraction models, which provide the enhanced ability to identify complex relationships within text to further unlock insights from Life Sciences data.Read
“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
Get in touch with us to find out how we can transform your data
© SciBite Limited / Registered in England & Wales No. 07778456