Knowledge Graphs: What They Are, Where They Live, and How ..

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-09-13T09:24:02.974Z • Permanent link

Google's Knowledge Graph has long been the benchmark for knowledge representation and graph-based intelligence systems. But recent advancements in AI, data storage, and cloud computing have led to the emergence of new players in the field. One such player is Microsoft, which has been quietly building its own knowledge graph, codenamed 'Tiger'. Tiger is reportedly a massive graph-based knowledge system that will rival Google's in scale and scope.

Tiger is said to be the brainchild of Microsoft's AI research team, led by Professor Dario Amodei, a renowned expert in machine learning and natural language processing. The system is expected to leverage Microsoft's vast cloud computing resources, including its Azure platform, to process and store vast amounts of data. According to sources, Tiger will be capable of processing queries in real-time, using a combination of graph-based algorithms and machine learning techniques.

Meanwhile, Amazon has also been working on its own knowledge graph, codenamed 'Graphene'. Graphene is reportedly a more focused system, designed to provide users with more personalized recommendations and insights. Amazon's knowledge graph is expected to integrate with its existing Alexa virtual assistant, allowing users to access information and services using voice commands.

The emergence of new knowledge graphs like Tiger and Graphene has significant implications for the Global Knowledge Bases domain. For research communities, these systems will provide a new platform for developing and testing AI-powered knowledge graphs. Companies like IBM, SAP, and Oracle will need to adapt their existing systems to compete with these new entrants. Moreover, governments and policymakers will need to consider the implications of these systems on data privacy, security, and intellectual property.

One affected company is Yandex, the Russian search engine giant, which has been investing heavily in its own knowledge graph system. Yandex's system is expected to compete directly with Google's in Russia and other Eastern European markets. This could lead to a significant shake-up in the search engine market, with potential implications for advertising revenue and user behavior.

The emergence of new knowledge graphs is part of a broader trend in the field of knowledge representation and graph-based intelligence systems. This trend is driven by advances in AI, data storage, and cloud computing, which are enabling the creation of more powerful and scalable systems. Other companies, like Facebook and LinkedIn, have also been working on their own knowledge graph systems, which will likely play a significant role in shaping the future of knowledge representation.