Our products and solutions enhance productivity by delivering knowledge based search results running in enterprise resilient environments.
The semantic technology team at Ontotext has been delivering solutions since 2000 across media & publishing, life sciences, government, financial services, telecommunications, cultural heritage and other industries.
Browse through our customer success stories to see how Ontotext solved knowledge management and discovery challenges other vendors simply could not.
Probably the highest profile application of semantic technology to date, BBC’s 2010 World Cup web site is delivered using the OWLIM Enterprise semantic repository. A famous “call to action” by John O’Donovan (Chief Technical Architect, BBC) has spurred a flurry of semantic technology activity in world-known media companies, particularly in the UK and US.
See more details in the BBC: Dynamic Semantic Publishing success story.
The producer of 40% of all news in the UK, the Press Association chose Ontotext’s Semantic Publishing technology to enrich the news content that it provides to syndicated news clients. As a result of this successful effort, the Press Association and Ontotext technology were chosen to be the official news provider for the London 2012 Summer Olympics. Our tools the Press Association to rapidly generate relevant news from the Olympics by providing valuable information on all aspects of the games including the athletes, the individual events and the participating countries.
Now, Press Association is looking into sharing this richness with their enterprise clients, such as AOL, Yahoo!, BBC and MSN.
In an unprecedented move among competitors, all daily newspaper publishers from the Netherlands joined together with the goal of creating a next generation semantic tagging platform. Ontotext and our partners Dayon were tasked with developing this system, which included the sourcing of third-party data sets and the engineering of text analytics systems to improve the efficiency of content generation.
Siemens and their partner Publicis set out to build a semantic tagging framework, and sought Ontotext’s vast media industry experience in this area. The daunting goal for these two organizations was to change the way journalists and copywriters create broader content.
Utilizing Ontotext’s technologies and experience, the project was big success, resulting in better content. Now, every paragraph submitted to the system through the WYSIWYG editor generates a query which returns relevant content from the Siemens’ content silos. The result is stories that provide more insight and a deeper, more analytical viewpoint.
A leading international business-to-business publisher, focused primarily on international finance, Euromoney chose Ontotext to develop a unified semantic publishing platform to bridge the information gaps between over 100 business units. As a result, the business units will not only be able to more quickly create content, but, having access to all historical content within all groups, will make for better, more enriched content. Read more about our work for Euromoney and the Unified Semantic Publishing Platform.
NetInfo is the leading internet media holding company in Bulgaria, reaching 80% of all BG internet users. AdWise is a targeted advertisement management platform utilized by NetInfo. Ontotext developed for AdWise a component, that evaluates how relevant an advertisement is to a particular piece of content, and allows advertisers to show ad that fit the user’s context. This solution utilizes content similarity metrics, taking into account specifics of the language, various possible word forms, and the varying significance of words.
AstraZeneca is a top-5 global pharmaceutical company that is on the cutting edge of using data to help find new solutions to the world’s health issues. Ontotext has worked with AZ on a number of successful projects, including data integration of clinical studies, analysis and retrieval of clinical trial reports as well as integration of biomedical databases for identification of drug targets and interactions. AZ is also a long-term research partner of Ontotext in the EU research project LarKC.
The mission of Database Center for Life Science is to integrate and improve biomedical databases and create a user-friendly portal website of all life science datasets in Japan.
The National Institute of Biomedical Innovation uses GraphDB™ (formerly OWLIM) for a web application that displays information about RNA microarray experiments and associated data.
LMI is a non-profit management consulting firm serving the U.S. Government. LMI has partnered with Ontotext to combine Ontotext’s semantic annotation and search capabilities with GraphDB™ to create an advanced document search tool. OpenPolicy™ offers end-users facetted searching capabilities alongside semantic keywords and full text search in an easy-to-use browser interface. The combined search capabilities vastly improve access to key regulatory information for government users at all levels – from field operations to policy specialists.
OpenPolicy™ is deployed at the Office of Deputy Assistant Secretary of Defense, Supply Chain Integration (DASD – SCI) and in the Centers for Medicaid and Medicare Support (CMS). For more information on OpenPolicy™ view the OpenPolicy™ white paper.
legislation.gov.uk carries most types of legislation and their accompanying explanatory documents. It has about 2 million visitors monthly. The Stationery Office (TSO) developed, and now hosts and manages, the legislation.gov.uk site for The National Archives (TNA). The programme to implement the site required content migration from various sources and resulted into a massive 6.5 million documents that are available on the website and this is growing daily. For the first time the government can demonstrate precisely how an Act would look if an Amending Bill is passed. GraphDB™ (formerly OWLIM) is being used to support a new, sophisticated, editorial and workflow management system that underpins legislation.gov.uk. GraphDB™ was chosen because of its scalability, support for transactional processes and SPARQL 1.1 support.
The Food and Agriculture Organization of the United Nations (FAO) chose GraphDB™ as an RDF Database for their information portal. The portal is an innovative, web-based platform that brings together statistics, maps and pictures (and soon documents) on nutrition, food and agriculture from throughout FAO, providing easy access, a powerful search engine and data visualizations all in one convenient location.
Natural Resources Canada (NRCan) seeks to enhance the responsible development and use of Canada’s natural resources. Through the use of GraphDB™ NRCan plans to move their RDBMS static file based mediation database, which allows querying heterogeneous databases (schematic and semantic), to a RDF store that provides reasoning. Speed is the primary consideration in the project, due to the fact that the translation involves a significant amount of vocabulary conversion.
LODAC (Linked Open Data in Academia) was created by Japan’s National Institute of Informatics to aggregate information across multiple Japanese resources as Linked Open Data. Many Japanese museums have digitized their museum collections and this data is scraped by LODAC and mapped to a RDF in CIDOC CRM. Related artists and artworks from different museum collections are associated then accessed through an integrated data views. The result is LODAC-Museum, which includes web presentation, natural language search and a SPARQL endpoint. See more about this solution in LODAC Museum: Linked Open Data for Academic Resources.
An Ontotext-led consortium won The British Museum tender for development of the ResearchSpace project funded by the Andrew W. Mellon Foundation. This project aims to support collaborative web-based research, information sharing and web publishing for the cultural heritage scholarly community.
The system will be based on the CIDOC CRM ontology, which supports very generic description of cultural artifacts, related events (e.g. creation, acquisition, curation, conservation), annotations, research discourse.
ConservationSpace is another project funded by the Andrew W. Mellon Foundation that is run by the National Gallery of Art, Washington D.C. and seven other institutional partners. The project will develop an open-source system to address a core need of the conservation community for a shared solution for documentation management.
Sirma ITT and Ontotext won the international tender for the Build phase of the project, making this the second Mellon project being developed by Ontotext.
The British Museum (BM) and Yale Center for British Art (YCBA) have selected GraphDB™ (formerly OWLIM) for their semantic repository. GraphDB™ was chosen due to its high performance in both data loading and querying, strict standards compliance, OWL reasoning, and rule inferencing that are useful for CRM and complex search. An added benefit is that GraphDB™ supports the new W3C standard SPARQL 1.1 Federated Query that allows a user to interrogate several semantic repositories at once. Federation can help research communities and projects to collaborate on a certain topic, even when the relevant works and data are spread out through different collections.
In September 2012, Europeana published its API allowing free access to all Europeana data – more than 20 million cultural heritage objects from all of Europe. A month later, the RDF dataset in EDM (Europeana Data Model) format was made available to the public. Ontotext was invited to host the Europeana SPARQL endpoint. Europeana SPARQL end point is a reason-able view of the web of data, loaded in GraphDB™ semantic repository with OWL-Horst inference, using Forest framework as a front end. It comprises 993 million explicit statements, and close to 4 billion retrievable statements. It is accessible at http://europeana.ontotext.com, and http://data.europeana.eu.
Europeana Creative is an European CIP PSP project that started in Feb 2013. It will allow Europeana to facilitate the creative re-use of cultural heritage metadata and content. It will create five pilot applications in the thematic areas of History Education, Natural History Education, Tourism, Social Networks, and Design.
Ontotext will work on the content reuse framework (core backend component of the architecture) and on Geo-tagging of cultural heritage objects.
Sofia University is the oldest university in Bulgaria and hosts the recently established BG-KR IT Cooperation Center (ITCC). Part of ITCC’s research focus includes semantic technology applications to Cultural Heritage, in particular semantic publishing of Bulgarian cultural heritage to Europeana. Ontotext established Bulgariana.eu as a Bulgarian aggregator for Europeana, a networking group for cultural heritage in Bulgaria, and organized two conferences.
FP7 CHARISMA (Cultural Heritage Advanced Research Infrastructures: Synergy for a Multidisciplinary Approach to Conservation/Restoration) is an EU-funded Integrated Project carried out as part of the FP7 Capacities specific programme “Research Infrastructures”. The project provides transnational access to advanced scientific instrumentation and knowledge; allowing scientists, conservators, restorers and curators to enhance their research. CHARISMA uses GraphDB™ (formerly OWLIM) to power a portal that provides metadata from 6 major European cultural institutions: Centre de Recherche et des Restauration, Louvre (FR), The National Gallery London, The British Museum, Opificio delle Pietre Dure (IT), ICN Cultural Heritage Agency of the Netherlands, Museo Nacional del Prado (ES).
The Polish Digital National Museum aggregates artifacts from cultural institutions in the Digital Libraries Federation PIONIER Network: over 70 contributing institutions including universities, libraries, museums, archives, research. The Poznan Supercomputing and Networking Center transforms all provided data to RDF using common ontologies such as CIDOC CRM, and relevant vocabularies related to Europeana. The aggregated collection contains 681 thousand objects and is published with specially developed software (dMuseion). GraphDB™ is used as the RDF repository for this project.
The Gothenburg City Museum provided close to 9K museum objects from two collections to build a use case within the MOLTO FP7 project. The goal is a knowledge representation infrastructure that allows for RDF querying and the presentation of RDF results in natural language. The knowledge representation infrastructure is based on Ontotext’s approach, known as “reason-able views of the web of data.” Museum data is modeled according to CIDOC CRM, integrated with the DBpedia and GeoNames datasets, and upper-level ontologies such as PROTON that facilitate the integration. The museum reason-able view contains 305M triples, and is accessible via a SPARQL endpoint.
Defense, Security & Financial Intelligence
The Basel Institute on Governance asked Ontotext to create the Asset Recovery Intelligence System (ARIS) Platform for BIG’s International Center for Asset Recovery (ICAR). ARIS is designed to help financial investigators, analysts and Financial Intelligence Units in developing countries with the tracking of assets stolen by departing dictators (kleptocrats). For more details see Basel: Uncovering Financial Crime.
Raytheon Company is a technology and innovation leader specializing in defense, security and civil markets throughout the world. With a history of innovation spanning 92 years, Raytheon provides state-of-the-art electronics, mission systems integration and other capabilities in the areas of sensing; effects; and command, control, communications and intelligence systems; as well as a broad range of mission support services. Raytheon utilizes GraphDB to help provide intelligence data.
Telecoms & Interactive Television
“KT provides semantic VOD search service for IPTV and various smart mobile devices using OWLIM as semantic repository. We found that BigOWLIM is suitable for our service, as it has shown good performance for its price compared with other products in the actual simulation tests. Best of all, OWLIM could be easily tested, installed and used thanks to open library, detailed guidelines, and lots of samples etc. By and large, our experience is that the OWLIM is very powerful and reliable high-performance semantic repository.” – Joo Won Sung, Senior Researcher, Central R&D Laboratory, KT. See the KT: Interactive TV success story for details.
I.S.D.D. plus is a Slovak software company providing complex services in the field of information technologies, specializing in telecom and banking industries. They chose OWLIM to take advantage specifically of its Geo-Spatial Extensions.
Domain-Specific Semantics & Search
DATALAN is a leading Slovak provider of innovative business solutions and IT services. They chose GraphDB as a foundation for their new business venture that will be announced soon.
Ontotext is developing a semantic knowledge base of foods, recipes, nutrients, cooking etc. Recipes are crawled from numerous sites; processed to extract knowledge about ingredients, cooking times, nutrition information; and presented through various dynamic and intelligent interfaces that allow sorting and filtering by a number of preferences. See more details in the Edamam Food Knowledge Base success story .
Ontotext provided product licenses and training services to Nottingham Trent to kick-off their semantic technologies projects.
The Pohang University of Science and Technology (POSTECH) is one of Korea’s top universities dedicated to science and engineering. POSTECH uses GraphDB for semantic technology research and industrial projects.
National Institute of Informatics is Japan’s general academic research institution seeking to create future value in informatics. NII seeks to advance integrated research and development activities in information-related fields, including networking, software, and content. NII uses OWLIM for research related to semantic technologies.
Innovation & Consulting
Innovaro provides clients a comprehensive portfolio of solutions to navigate the complexities of the entire innovation ecosystem. It has selected semantic technologies as a prominent area of innovation and licenses OWLIM for semantic-related projects.
Knowledge Integration specializes in the development of high quality open source products and components based around open standards and specifications. It has selected OWLIM as the RDF database of choice for its endeavors.