About Ibm Watson Dbpedia Association

Bonisiwe Shabane

-Dec 28, 2025, 8:26 AM

IBM Watson is a computer system capable of answering questions posed in natural language.[1] It was developed as a part of IBM's DeepQA project by a research team, led by principal investigator David Ferrucci.[2]... Watson.[3][4] The computer system was initially developed to answer questions on the popular quiz show Jeopardy![5] and in 2011, the Watson computer system competed on Jeopardy! against champions Brad Rutter and Ken Jennings,[3][6] winning the first-place prize of US$1 million.[7] In February 2013, IBM announced that Watson's first commercial application would be for utilization management decisions in lung cancer treatment, at Memorial Sloan Kettering Cancer Center, New York City, in conjunction with WellPoint (now... Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open...

The system is named DeepQA (though it did not involve the use of deep neural networks).[1] IBM stated that Watson uses "more than 100 different techniques to analyze natural language, identify sources, find and generate hypotheses, find and score evidence, and merge and rank hypotheses."[10] IBM Watson is a computer system capable of answering questions posed in natural language.[1] It was developed as a part of IBM's DeepQA project by a research team, led by principal investigator David Ferrucci.[2]... Watson.[3][4] The computer system was initially developed to answer questions on the popular quiz show Jeopardy![5] and in 2011, the Watson computer system competed on Jeopardy! against champions Brad Rutter and Ken Jennings,[3][6] winning the first-place prize of US$1 million.[7]

In February 2013, IBM announced that Watson's first commercial application would be for utilization management decisions in lung cancer treatment, at Memorial Sloan Kettering Cancer Center, New York City, in conjunction with WellPoint (now... Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open... The system is named DeepQA (though it did not involve the use of deep neural networks).[1] IBM stated that Watson uses "more than 100 different techniques to analyze natural language, identify sources, find and generate hypotheses, find and score evidence, and merge and rank hypotheses."[10] The DBpedia Association was founded in 2014 to support DBpedia and the DBpedia Community. Since then we are making steady progress towards professionalizing DBpedia for its users and forming an effective network out of the loosely organised DBpedia community.

DBpedia features around 20 language chapters which are concerned with the improvement and extraction of data from the language-specific Wikipedia versions. The chapters are part of the DBpedia executives who have taken on the responsibility to contribute to the infrastructure of DBpedia. Members of the DBpedia community have been contributing to the expansion and stabilization of DBpedia since 2007. It started as a small project in Leipzig which grew into a large crowd-sourced project with scientists and researchers using the DBpedia Open Knowledge Graph worldwide. The DBpedia Association has built up an extensive network of international members comprising representatives from industry and academia. All DBpedia members support and encourage DBpedia and actively use the Open Knowledge Graph to enrich their datasets.

Since the emergence of the LOD Cloud in 2007 DBpedia constitutes the main resource of Linked Open Data on the Web containing more than 228 million entities to date. With the rapid growth of published LOD-datasets DBpedia evolved to the most interconnected freely available knowledge graph on the Web. Out of its popularity, numerous further resources emerged and have been created by and for research and industry for various purposes. As of today, a large community of Linked Data enthusiasts is continuously contributing You seem to have CSS turned off. Please don't fill out this field.

You seem to have CSS turned off. Please don't fill out this field. Click URL instructions: Right-click on the ad, choose "Copy Link", then paste here → (This may not be possible with some types of ads) IBM Watson started as a question-answering system named after the first CEO and founder of IBM Thomas J. Watson. The system was designed to answer natural language questions and developed in the DeepQA project.

The initial goal of the project was to develop an ‘intelligent’ system that can recognize questions asked in a natural language, process the information and compare it to what’s in the massive database, and... Charles Lickel, the research manager at IBM was intrigued by the TV show Jeopardy! and decided to take the challenge of putting an IBM system against humans in the same show. He passed on the idea to Paul Horn (Research Executive) and managed to get it approved in 2005. The biggest challenge was to develop a system that can respond within a few seconds (compared to a few minutes a similar system Piquant used to take with 35% success rate). The complexity of problems posed by Jeopardy!

made it look like an impossible task. The initial tests proved to be a failure with 15% success rate compared to 95% of humans. It took IBM researchers three years to develop a system that could compete against humans. In 2010, Watson started regularly beating human competitors, thanks to its access to over 200 million pages of content. Watson’s development also involved graduate students and faculty members of various universities. Representatives from IBM communicated with Jeopardy’s management team in 2008 to discuss the possibility of competing IBM Watson against the current champions.

Although both the teams had some disagreements over how to arrange the competition, a practice match was conducted on 13 January 2011, while the first competition was broadcast on 14 February 2011. The researchers behind IBM Watson initially designed the system to compete in the quiz show Jeopardy!. In 2011, IBM Watson won the first prize ($1 mn) in the competition against Jeopardy! champions Ken Jennings and Brad Rutter. IBM donated the entire amount to World Community Grid and World Vision (50/50), while Rutter and Jennings also donated 50% of their winnings. IBM’s research in AI goes back to the 1950s and includes significant milestones like the supercomputer Deep Blue defeating chess grandmaster Garry Kasparov.

In 2011, IBM Watson defeated Brad Rutter and Ken Jennings in the Jeopardy! Challenge. To find and understand the clues in the questions, Watson compared possible answers by ranking its confidence in their accuracy, and responded — all in under three seconds. Watson sparked curiosity around “machines that could think” and opened up the possibilities around how AI could be applied to business. Clients in industries ranging from financial services to retail put Watson to work to unlock new insights, drive productivity and deliver better customer experiences. Now through advancements in core Watson technologies, IBM has developed the next generation of AI products with watsonx.

Accelerate responsible, transparent and explainable workflows for generative AI built on third-party platforms IBM Research started working on the grand challenge of building a computer system that could compete with champions at the game of Jeopardy!. Just four years later in 2011, the open-domain question-answering system dubbed Watson beat the two highest ranked players in a nationally televised two-game Jeopardy! match. IBM Watson technology became available as a development platform in the cloud. The move spurred innovation and fueled a new ecosystem of entrepreneurial software application providers–ranging from start-ups and emerging, venture capital-backed businesses to established players.

IBM Watson is a suite of enterprise-ready AI services, applications, and tooling. Named after IBM’s founder, Thomas J. Watson, it gained prominence for its ability to understand and process natural language, making it a pivotal tool in the AI and machine learning landscape. IBM Watson has evolved from a groundbreaking Jeopardy! contestant to a comprehensive AI platform that serves a wide array of industries. Its continual updates and expansions reflect IBM's commitment to advancing AI technology and making it accessible and beneficial for enterprise applications.

Thanks for reading!Back to Curriculum-vitæ ← IBM Watson is a technology platform that uses natural language processing and machine learning to reveal insights from large amounts of unstructured data Answer your customers' most pressing questions. Quickly extract key information from all documents Reveal insights, patterns and relationships across data percentage of the unstructured data today

About Ibm Watson Dbpedia Association

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