All Linguamatics content sources are indexed with the Linguamatics standard set of domain specific ontologies, for enriched semantic searches. Find details of all our ontologies below.
Linguamatics biomedical terminologies enable identification, extraction and normalization of over a million concepts, covering a wide variety of life science domains: diseases, genes, proteins, biomarkers, gene variants & mutations, phenotypes, drugs, adverse events, biological processes, organs, tissues and cells.
Healthcare terminologies are integrated into Linguamatics platform covering key medical domains and categories. These are recognized using a combination of standard ontologies, pattern-based approaches and linguistic rules to enable the context around any patient variable to be taken into account (e.g. a family's history of disease). They are often used alongside the biomedical terminologies to maximize the amount of information that can be extracted from medical records.
Healthcare terminologies are valuable for identifying key patient data from a variety of medical records, including patient problem lists, disease history and vital signs (blood pressure, heart rate, pulse, respiratory rate, temperature, gender and age). Lifestyle factors such as smoking, drug use, alcohol consumption, exercise, diet and sexual activity can also be analyzed.
Chemical entities can be found using ChEBI, MeSH and the NCI Thesaurus. In addition, the Linguamatics ChemAxon add-on identifies known and novel chemical structures within documents: by name, structure, substructure or similarity.
Drug Lab Codes is a Linguamatics pattern ontology that enables the identification and extraction of many different pharmaceutical company chemical identifiers (such as LY-170053, SQ 34676, ICI 204, 219).
Linguamatics provides pattern ontologies that identify numerical data, such as times, dates, numerics, and units of measurement. These allow for the identification of concepts that can be expressed in many ways, extend search by annotating novel textual descriptions of key concepts or concept types and normalize results to greatly simplify downstream analysis.
Information on organizations can be extracted and categorized by sector, type and geographic location. Searching by sector allows named pharmaceutical companies, universities or government agencies to be extracted. Organization types are also available, using linguistic rules and patterns to automatically detect whether an entity is a corporation, division, hospital or institute. Organizations can also be identified by geographical location (region, country, state or city). In addition, pattern ontologies allow for the identification of telephone numbers, names of people, and email addresses.
Linguamatics supports bespoke or custom vocabularies. These can be imported from academic or commercial sources. In-house vocabularies can also be employed, for example: a dictionary of employees from an organizational chart, or a controlled vocabulary for an internal drug development project.
Linguamatics incorporates data from the sources in the Content Store to provide source-specific dictionaries. These include Patent classification codes, listings of product names in FDA Drug Labels and specific FAERS terms.
Download our Datasheet below: Linguamatics ontologies power scientific search and text mining.