Read our thoughts rising from questions such as "Will Giant Brains Rule the World?" and "Can a mechanical brain replace you?"
Making Sense of Text and Data
Provide consistent unified access to data across different systems by using the flexible and semantically precise structure of the knowledge graph model
Interlink your organization’s data and content by using knowledge graph powered natural language processing with our Content Management solutions.
Implement a Connected Inventory of enterprise data assets, based on a knowledge graph, to get business insights about the current status and trends, risk and opportunities, based on a holistic interrelated view of all enterprise assets.
Quick and easy discovery in clinical trials, medical coding of patients’ records, advanced drug safety analytics, knowledge graph powered drug discovery, regulatory intelligence and many more
Make better sense of enterprise data and assets for competitive investment market intelligence, efficient connected inventory management, enhanced regulatory compliance and more
Connect and model industry systems and processes for deeper data-driven insights in:
Improve engagement, discoverability and personalized recommendations for Financial and Business Media, Market Intelligence and Investment Information Agencies, Science, Technology and Medicine Publishers, etc.
Unlock the potential for new intelligent public services and applications for Government, Defence Intelligence, etc.
Connect and improve the insights from your customer, product, delivery, and location data. Gain a deeper understanding of the relationships between products and your consumers’ intent.
Link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs.
Organize your information and documents into enterprise knowledge graphs and make your data management and analytics work in synergy.
Integrate and evaluate any text analysis service on the market against your own ground truth data in a user friendly way.
Turn strings to things with Ontotext’s free application for automating the conversion of messy string data into a knowledge graph.
Informational
Learn about GraphDB through the solutions it offers in a simple and easy to understand way. In the slides below we have unpacked GraphDB for you, using as little tech talk as possible.
Read on and see what Ontotext’s semantic graph database (also known as RDF triplestore) has to do with pasta making.
Read our thoughts rising from questions such as "Will Giant Brains Rule the World?" and "Can a mechanical brain replace you?"
Read about OntoRefine - a new tool that allows you to do many ETL (extract, transform and load) tasks over tabular data.
Learn how to use information interconnectedness to integrate, interpret and ultimately make sense of data.
Read our thoughts rising from questions such as "Will Giant Brains Rule the World?" and "Can a mechanical brain replace you?"
Read about OntoRefine - a new tool that allows you to do many ETL (extract, transform and load) tasks over tabular data.
Learn how to use information interconnectedness to integrate, interpret and ultimately make sense of data.
Marketing Expert at Ontotext
Teodora is a philologist fascinated by the metamorphoses of text on the Web. Curious about our networked lives, she explores how the Semantic Web vision unfolds, transforming the possibilities of the written word. From 2022 on, Teodora helps with the creation and curation of the Ontotext knowledge graph to foster information ecology out of marketing content that will enable relevant user experiences across Ontotext's universe.
Read our report from Day 2 of SEMANTiCS 2023 to find out if ChatGPT is the killer app for the Semantic Web, how do we tame the genie of LLMs for Healthcare and more
Read about the interplay between LLMs & KGs and how business and academia tackle them in our report from Day 1 at SEMANTiCS 2023
Read about SEMANTiCS pre-conference day, which covered the topics of interoperability, ESG data, knowledge engineering, scholarly communication, and academia & industry collaboration.
Read about three inspiring GraphDB-powered use cases of connecting data in a meaningful way to enable smart buildings, interoperable design engineering and ontology-based air-traffic control
A bird’s eye view on where to start in building a knowledge graph solution to help your business excel in a data-driven market
Read about the world of academia research projects that use GraphDB to meet the challenges of heterogeneous data across various domains
Read about how knowledge graphs can serve the retail industry’s growing need to connect, manage and utilize data efficiently, aligning it in a collaborative data ecosystem
Read about what data spaces are and how semantic technologies and Linked Data can make them a stronger and safer mechanism for commercial data exchange
Read about how academia research projects use GraphDB to power innovative solutions to challenges in the fields of Accounting, Healthcare and Cultural Heritage
Read about Ontotext’s KGF22 days dedicated to stories about knowledge graphs in the domains of Industry, Healthcare & Life Sciences and Financial Services
Read about our event report from Ontotext’s Knowledge Graph Forum 2022, highlighting expert insight on building knowledge graphs and designing enterprise-grade solutions with semantic technologies.
Take a sneak peek at some of the keynote speeches and tutorials throughout SEMANTiCS 2022
Read about the design processes behind crafting knowledge-graph enabled solutions and explore some of the stories of our partners.
Read about how knowledge graphs offer a sustainable solution for harnessing and making sense of heterogeneous data in the building automation industry.
Read about how the world of metadata humming behind the logistics and other supply chain processes can benefit from using knowledge graph technology.
Read about how applying Linked Data principles and semantic technology to electricity data can make for a more efficient, reliable and sustainable electricity market.
Read about how the Semantic Web vision reincarnated in thousands of Linked Open Data datasets and millions of Schema.org tagged webpages. And how it enables knowledge graphs to smarten up enterprises data.
Read about what metadata is, why it is important and how it can enhance the ways information flows across the enterprise.
Read about how enterprise knowledge graphs can unlock meaning and thus create a smart future-proof living repository of scientific data and its relationships.
Read about how text analytics can be brought forward with content enrichment processes for better text authoring, delivery and navigation.
Read about how a knowledge graph can help organizations stay vigilant of the increasing number of cyber threats, keeping malicious attacks at bay with the help of semantics.
Read about what digital twins are, what makes them attractive to companies and how digital twins relate to semantic technology and enable organizations to design, simulate and validate various scenarios virtually.
Read about the fluid essence of knowledge and the capability of knowledge graphs to power an information-rich platform of diverse facts about anything, a broccoli soup included.
Read about why and how knowledge graph technology can help build networks of interwoven digital objects in the world of cultural heritage.
Read about the ExaMode project that will help medical professional use the power of supercomputers and knowledge graphs for more efficient patient care through data-driven diagnoses.
Read about how to build a knowledge graph the semantic data modeling way in 10 steps, provided by our knowledge graph technology experts.
Read about the story of an algorithm that mines data to narrow down opportunities for investing.
Read about how knowledge management can be made smarter using a knowledge graph built with semantic technology.
Read about how semantic technology and Linked Data can help enterprises benefit from smart data management and retrieval practices.
Read about why and how SPARQL queries make for a better search in diverse datasets across an organization in an integrated way.
Read about how semantic technology can help you set the wheels for many processes related to еfficient data management and governance.
Read about the opportunities for authoring and publishing workflows opened by an RDF triplestore.
Read about URI and its power to enable the sharing and reuse of machine-readable data with minimum integration costs.
Learn how the potential that Big Data streams bring to grape and wine production can be harnessed with the right kind of technology.
Read about the knowledge graph and about how many enterprises are already embracing the idea of benefiting from it.
Learn how you can turn data pieces into actionable knowledge and data-driven decisions with an RDF database.
Learn about the potential semantic data integration carries for piecing massive amounts of data together.
Learn why and how a Knowledge Graph boosts significantly Text Analytics processes and practices and makes text work for us in a more meaningful way.
Read about the new breed of computing is emerging before our eyes – cognitive computing and join us in our Awareness Game.
Read about how machines can be of great help with many tasks where fast and error-free computation over big amounts of data are required.
Learn about Open Data and its potential to be part of smart solutions to data problems and innovative products and services.
Read about how ontologies open up opportunities for a new class of tools to power information consumption and knowledge management.
Learn how to choose the right solution for working with your data the conceptual framework of “happy connected people”.
Learn more about the importance of being metadata-driven today in our latest SlideShare presentation.
Learn how companies can tap into the power of the data coming their way by integrating the huge data flows with their proprietary data.
Learn about the steps you need to migrate your data to GraphDB to use it as a smart brain on top of your legacy systems.
Read about how you can create systems capable of discovering relationships and detecting patterns within all kinds of data.
Read our thoughts rising from questions such as “Will Giant Brains Rule the World?” and “Can a mechanical brain replace you?”
Learn about how semantic metadata allows us to add granularity to an object, interlink it to other objects and make it easy to search.
Content enrichment and semantic web technologies are key to efficient content management. Learn why and see these technologies in action.
Learn about semantic information extraction and how it pulls out meaningful data from textual sources, ready to be leveraged for insights, decisions and actions.
Read about how semantic annotation links certain words to context and references that can be processed by an algorithm.
Learn about FactForge and how you can turn the opportunities that data flows on the web can pour into our business into a real experience.
Learn about GraphDB in a simple and easy to understand way and see what Ontotext’s semantic graph database has to do with pasta making.
Learn how semantic technologies can bring audiences back to libraries and make library archives and collections visible and accessible.
Read about OntoRefine – a new tool that allows you to do many ETL (extract, transform and load) tasks over tabular data.
Read about how GraphDB can help you clean up messes of data (just like your room) – whether you are a kid or not.
Learn how by joining the dots, semantic search enhances the way we look for clues and compare correlations on our knowledge discovery quest.
Learn how LOD’s connectivity allows data to be shared seamlessly, used and reused freely. As simple as a bag of chips.
Learn how to use information interconnectedness to integrate, interpret and ultimately make sense of data.
Read about the Semantic Web and what it takes to reach its potential and evolve from a Web of Documents to a Web of Data.
Read about semantic search and how it takes information retrieval to the next level and puts information at our fingertips.
Learn how and why Semantic Web Standards are to serve the Web of Data for better collaboration between people through computers.
Learn how to manage highly connected data, working with complex queries and having readily available relationships, without the need to express them explicitly.
Read about how semantic technology helps publishing handle data in an interconnected way, attaching machine-processable and readable meaning to them.
Read about how you can turn data into a resource, easily accessed and effectively used across the organization with a graph database.
Read about semantic enrichment and the unique opportunity it offers for interconnecting objects to facilitate knowledge discovery.
Go beyond conventional publishing with Ontotext’s News On the Web and get the feel of how you can discover and consume content with semantic technology.