SciBite Search - SciBite

SciBite / Solutions / Semantic Search / SciBite Search

SciBite Search Embrace a better way to search. With powerful data interrogation and analysis capability, SciBite Search utilizes a robust combination of ontologies to help you find the information you need faster.

Whether your data is structured or unstructured, public or proprietary, SciBite Search transforms complex sets of documents into clean, contextualized and unambiguous usable information.

Why choose SciBite Search?

Search, simplified

NER enables you to get accurate results without needing a complete understanding of the detailed complexities of your data.

More effective

Traditional keyword searches are slower and less reliable, whereas SciBite Search adds context to help find relevant results and reduce false positives.

Supports FAIR data

SciBite Search is designed to help scientists and researchers ensure that their data is findable, interoperable, accessible and reusable.

Overview Take your searches to the next level by using ontologies to automate the process of semantic enrichment and annotation.

SciBite Search creates clean contextualized machine-readable data that overcomes ambiguities like synonyms or cryptic data like project codes and drug abbreviations to reveal vital information with ease.

Click on image to enlarge

Find the right answers faster

Take control of complex unstructured data and get fast meaningful insights from previously inefficient and hard to analyze internal and external documents. By helping your searches navigate the complex web of varying terms and ambiguous language SciBite Search reveals hidden connections and helps scientists answer complex scientific questions in seconds.

Manage, find and share data

SciBite Search improves search workflows across your organization. Our highly intuitive user interface can be deployed in minutes and used immediately, without the need for intensive training, so you can allow more people to add value to your projects and searches. This collaboration can then be closely managed with SciBite Search’s range of tools, restrictions and permissions that can be applied to various users and groups.

A better way to search

Traditional search tools rely on a user providing all the relevant keywords and names into their search. If any of these keywords are missed, spelled incorrectly or a synonym to the word is used in a document, vital results can be missed, leading to delays, frustration and overlooked connections.

However, SciBite Search goes deeper, looking beyond keywords by using entities, classes and relationships to add context to the search and deliver relevant results, even from imprecise searches of badly indexed data.

Powerful and flexible

The combination of domain-specific and generic connectors and built-in parsers enable SciBite to render popular datasets and make all kinds of data searchable. This is supported by a suite of useful functions ranging from document or sentence-level searches, full document-level security including role-based access and API endpoints for integration with other key research systems.

Search your way

SciBite Search is also designed to allow you and your organizations to brand up the interface using UI themes, color schemes and logos. These personalization settings can provide tailored support for expert users and also help those who require less sophisticated functionality.

Take a closer look at SciBite Search

If you’d like to read more about how SciBite Search works and get more detail on the specifications and functions, we’ve created this datasheet for you.

SciBite Search datasheet

Relevant resources, events and news

https://scibite.com/knowledge-hub/resources/leveraging-semantics-for-intelligent-scientific-search/ thumbnail image

Resource Leveraging semantics for intelligent scientific search [Use Case]

Pharmaceutical and biomedical professionals need to unravel enormous amounts of data, get fast insights from data that’s locked up in both internal and external documents and can’t afford to miss any crucial details.

SciBite Search Semantic Search