Demo Service: Data Ontotext

Data Ontotext is a free public demonstrator that provides a fascinating perspective for exploring the world of open data. It uses data from three linked open data sets: Linked Leaks, The Bulgarian Trade Register and Bulgaria Public Procurements.

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Demo Service: FactForge

FactForge.net is a hub of Linked Open Data (LOD) and news articles about people, organizations and locations. It includes more than 1 billion facts from popular datasets such as DBpedia, Geonames, Wordnet, the Panama Papers, etc., as well as ontologies such as the Financial Industry Business Ontology (FIBO). It also includes a live stream of news articles and metadata linking news to entities and concepts: about 2000 articles/day tagged by Ontotext’s Publishing platform.

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Demo Service: Linked Life Data

Linked Life Data is a data-as-a-service platform that provides access to 25 public biomedical databases through a single access point. The service allows writing of complex data analytical queries and answering complex bioinformatics questions. Simply navigate through the information, or export subsets such as ‘all approved drugs and their brand names’.

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Demo service: Rank by Ontotext

The Rank company service of Ontotext provides news popularity ranking of companies from a given industry sector. You can customize these rankings by specifying a geographic region, a news category (e.g., business, sport, lifestyle, etc.) and a time period.

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Discover More (GraphDB)

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Download GraphDB Generic (Request form)

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GraphDB - a powerful tool for the semantic interpretation of data

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GraphDB Offer

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GraphDB Product

The only triplestore that can perform semantic inferencing at scale allowing users to create new semantic facts from existing facts.

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GraphDB Software

GraphDB is an enterprise ready Semantic Graph Database, compliant with W3C Standards. Semantic graph databases (also called RDF triplestores) provide the core infrastructure for solutions where modelling agility, data integration, relationship exploration and cross-enterprise data publishing and consumption are important.

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GraphDB™ Enterprise Edition

The Enterprise RDF Database for Business Critical Applications

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GraphDB™ Free Edition

A Fully Featured RDF Database for Massive Data and Moderate Query Loads

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GraphDB™ Standard Edition

Manage Tens of Billions of RDF Statements with Full SPARQL 1.1 Support.

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Ontotext AD

Ontotext provides a complete set of Semantic Technology enabling better content management, knowledge discovery and semantic search.

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Ontotext Bulgaria

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Ontotext Platform

Organize your information and documents into enterprise knowledge graphs

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Ontotext Sales Team

Sales Team for Ontotext

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Ontotext USA Office

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Ontotext logo

The logo of Ontotext AD

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Professional Service: Semantic Data Modeling

Data modeling based on semantic technology and open standards is a skillful approach to all data management processes – from integration to analytics. It applies knowledge structures that are easily understood by business people and allows linking and contextualizing of information.

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Professional Service: Semantic Technology Trainings

Our team of training instructors is committed to help you master Semantic Technology for success. We understand that learning new technologies requires a skilled knowledge transfer. To facilitate your learning process, we offer two general approaches to improving your competence in Semantic Technology as well as Ontotext products: Live sessions with pre-planned curriculum and tailor-made training courses to accommodate specific needs and requirements.

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Professional Service: Support and Operations

Our dedicated team of experts assists you in every step of the way and helps you operate your semantic solutions smoothly. We offer 3rd level support packages.

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Request GrapDB Enterprise

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Request GraphDB Free

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Request GraphDB Standard

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Solution by Business: Advanced Drug Safety

Еnhance your analytical capabilities over diverse data streams Pharmacovigilance analytics rely on advanced repetition techniques applied on large and varied safety datasets. These techniqes aim to uncover hidden patterns, new correlations, trends, patient behaviors and other insights that can support stakeholders in making more informed business decisions.

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Solution by Business: Discovery in Clinical Trials

Ontotext’s technology helps you quickly and easily find the information you need to address request from regulatory agencies or to design your research activities. It blends semantic data integration with document structure analysis and contextual text extraction.

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Solution by Business: Investment Intelligence

Boost your competitive investment insight by combining proprietary information and global market data and further refining it.

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Solution by Business: Knowledge Graph Drug Discovery

The amount of genomic, molecular and other biomedical data describing diseases and medicinal drugs continues to grow exponentially. In addition, the information is highly fragmented (multiple data sources) and semantically redundant (ambiguous). The actual data integration process and the subsequent maintenance of knowledge on a large scale takes a lot of time and effort. With Ontotex’t solution, you can efficiently extract meaning out of the acquired knowledge and provide provenance for each underlying fact that supports the scientific conclusion.

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Solution by Business: Medical Coding of Patient Records

Find the Locked Data in Patient Records Semantic medical coding of patient records helps you break the productivity barriers, transforming the raw patient data into structured knowledge. Its pipelines are designed to process large volumes of patient records and to extract and semantically index data about patient diagnoses, treatments, medications and events timing. In order to semantically fuse the extracted data with the available structured knowledge, the modeling of identified facts is compliant with the industry standards. It is enriched by applying medical ontologies (SNOMED, LOINC, RxNorm and UMLS) and clinical terminologies for identification of entities such as generic and branded drugs, recommended and prescribed dosage, adverse event reactions, etc.

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