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    Semantic technologies development

    Semantic Web

    When Semantics meets business needs to deliver new era solutions.

    Semantic web solutions features

    The Semantic technologies allow you to share and reuse data from different sources and formats across applications, enterprises, and communities.

    This opens up the possibility for collaboration of a large number of scientists or researchers and business partners on the same project, helps finding more relevant information faster and gives great opportunities for data processing in enterprise-level companies.

    Semantic web development

    development steps

    01

    Project planning

    The first stage is the estimation of the client’s idea together with our team of professionals. We take into account the technical requirements of the future project and draw up a phased plan for semantic web development.

    02

    Linked data strategy

    Since the data may be raw or presented in different formats, linked data algorithms are used. They are needed in order to present and connect all the data of the world in an easy-to-query and consumable form.

    03

    Knowledge engineering

    The main goal of the Semantic Web is the representation of knowledge and its future processing to derive new knowledge from disparate one. Knowledge engineering includes the acquisition, presentation and testing of knowledge; then justifications and conclusions.

    04

    Integrations

    When the knowledge engineering process is complete and we are happy with the results, the Cognitum team will integrate it into the solution. Our software engineers have extensive practice with the Semantic Web projects, so the integration process will be seamless.

    05

    Deployment

    Deployment can be a relatively quick process, but maintaining it effectively can be time consuming and resource intensive. At this stage, it is important to choose the right architecture based on your business goals.

    06

    QA, support and further iterations

    From the very beginning of development, our QA experts are involved in the process to make sure your solution works well. Besides, we are committed to fixing any problems for the entire period of support agreed in advance and future updates if any.

    Semantic technologies highlights

    solutions optimization
    Text mining
    • Extraction of important terms 
    • Word sense disambiguation
    • Specialized objects detection
    • Classification and categorization
    • Discern language ambiguities
    business optimization applications
    Optimization
    • Document classification
    • Recommendation services
    • Improved search 
    • Semantic knowledge models and applications
    web development for Digitalization
    Data
    • Enriched metadata
    • In-depth data analysis
    • Data linking
    • Data management

    Where we can help you

    solutions development for Clinical researches
    Healthcare

    Our team delivers solutions for research, systematization and further work with data in various fields of medicine.

    Semantic technologies for science
    Science

    Apply the power of Semantic Web to make breakthrough discoveries in science.

    Live Comply Regtech App Development
    RegTech

    Enhance your in-house regulatory and compliance processes with full-fledged assistants.

    web development for public education
    Education

    We develop products widely used by top universities all over the world, including MIT and Sorbonne.

    Tech Stack

    Semantic Search
    Modelling Languages and Libraries
    BigData
    Hardware Platforms
    Cognitum software development Solr

    Solr

    Cognitum software development Elastic Search

    Elastic Search

    Cognitum software development Python

    Python

    Cognitum software development CogniPy

    CogniPy

    Cognitum software development Jupyter

    Jupyter

    Cognitum software development FluentEditor

    FluentEditor

    Cognitum software development Snomed

    Snomed

    Cognitum software development Snowflake

    Snowflake

    Cognitum software development Apache Cassandra

    Apache Cassandra

    Cognitum software development Amazon S3

    Amazon S3

    Cognitum software development Google BigQuery

    Google BigQuery

    Cognitum software development Google Cloud Platform

    Google Cloud Platform

    Cognitum software development AWS

    AWS

    Cognitum software development Microsoft Azure

    Microsoft Azure

    Cognitum rating opinions Cognitum rating opinions Cognitum rating opinions Cognitum rating opinions Cognitum rating opinions
    “I certify that Cognitum is as a highly skilled technology affiliate and specialists in their field.”
    We collaborated with Cognitum in the area of research for CDSS based on Semantic Web standards which is a new approach to deal with complex clinical information. Cognitum also supported COI with running Bone Cancer Registry. I certify that Cognitum is as a highly skilled technology affiliate and specialists in their field.

    Iwona Ługowska

    Professor, Maria Skłodowska-Curie Institute of Oncology

    Cognitum previous opinion
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