TERMite is a semantic indexing engine that analyzes raw text at speeds of up to 1 million words per second, extracting structured data and enabling new discoveries. It manages ambiguity in scientific names. Supporting TERMite is a collection of over 80 vocabularies spanning life sciences, containing over 20 million synonyms, which are enriched through automated analysis and manual curation. TERMite can distinguish relevant terms from irrelevant mentions, identify patterns of entities such as gene-disease relationships, and enhance semantic search and discovery.

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TERM Identification Tagging and
Extraction
TERMite is a semantic indexing engine that
manages the ambiguity in naming of terms in
scientific text. Analysing raw data at speeds of
up to 1 Million words a second, free-text
documents are converted into structured data
enabling new discovery. With TERMite, your
internal databases, reports and document
management systems become part of a wider
big data ecosystem facilitating business
intelligence, hypothesis generation and
identification of hidden trends and
relationships.
High-Quality Vocabularies
High performance biomedical text analytics
requires extensive ontologies covering all of
TERMite
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the synonyms and different forms of names for
the same entity. Many existing solutions are
supplied with poor quality ontologies, taken
directly from public resources with minimal
additional development.
SciBite is different; we believe semantic text-
analytics requires an exceptional foundation.
Supporting the TERMite engine is a collection
of more than 80 Vocabularies spanning the Life
Sciences sector. These Vocabularies are
enriched through a unique combination of
automated analysis and expert manual curation
and contain over 20 million synonyms.
Many of our vocabularies are unique to SciBite.
Others originate from public domain sources
but are many times enriched. For example, our
human phenotype vocabulary contains over 1.5
million phenotype terms, compared to about
40,000 available in the public domain.
Enhancing Semantic Search and Discovery
DATASHEET

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Scientifically Aware System
While the speed and coverage of TERMite
bring value to any organisation, it has
additional capabilities to provide a more
scientifically aware entity extraction solution.
Ambiguity Detection; Knowing when
“GSK” means “Glaxosmithkline” and not
“Glycogen Synthase Kinase”, when “Pacific”
means the biotechnology company and not
the ocean and when “hedgehog” means the
protein, not the spiky animal
Relevance Detection; Distinguishing
between terms that are “throwaway
mentions” and those that really matter to the
context of the document
Pattern Detection; Able to identify
patterns such as genes causing disease,
toxicities of drugs, association of phenotypes
with pathways and many more where they
are grouped by type e.g. Protein or Indication.
LIVE and Simple to Deploy
Developed in Java, TERMite is a simple API
which can be run either in the end-user
interface or embedded into other applications
opening up semantic text analytics to a much
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wider audience. Setup is simple and can take
just a few minutes.
Use-Cases
Existing customers are using TERMite to:
• Datamine the entire Medline database
for gene-phenotype-disease correlations
• Analyse grants to discover new trends
• Scan internal documents to find
hidden target-drug-indication relationships
• Investigate disease genetics, biomarker
discovery, drug repurposing, drug toxicity,
competitor intelligence and much more
About SciBite
SciBite provides a flexible environment for
semantic text analytics and data intelligence
for Biopharma, Biotech & beyond through a
collection of applications, platforms and web
services. Built on an entity identification and
extract engine, SciBite’s capabilities can
unlock the value often missed in raw text.
From instant annotation of simple documents
through to the indexing of enterprise search
systems, contact us now to find out how we
can help you get more from your data.
Enriched Vocabularies Powering TERMite