Exploring Websites Aimed at Building the Knowledge Graph on the Web

Understanding the vast and interconnected network of information that constitutes the Knowledge Graph is both fascinating and daunting. This article aims to provide insights into different websites and projects that contribute to building this monumental graph, exploring the capabilities and limitations of each.

Introduction to the Knowledge Graph Singularity

Our journey begins with the intriguing term 'the'. You asked about websites building the Knowledge Graph, but it is more accurately described as a Knowledge Graph singularity. This term refers to an all-encompassing graph containing all conceivable knowledge in the universe. The sheer magnitude of data involved is mind-boggling. Just imagine the amount of data centers and computational power needed to store and process such information, let alone the number of entities that would have to be included.
To put it in perspective, the Google Knowledge Graph (GKG), a beacon of open-source graph projects, contains over 500 billion facts related to 5 billion entities. However, this is merely the tip of the iceberg. A true Knowledge Graph singularity would require a massive expansion to include every living human, all species of bacteria, and all known stars in our galaxy and beyond. This ambition reflects the immense potential and challenges in creating a complete and comprehensive knowledge repository.

The Google Knowledge Graph

Google Knowledge Graph (GKG) is undoubtedly the most advanced and extensive knowledge graph in existence. As of the latest known update, GKG boasts an impressive 500 billion facts about 5 billion entities. This represents a monumental achievement, but it also highlights the vast scope of the knowledge graph singularity.
Entire ecosystems of knowledge, such as animals, plants, cities, organizations, leaders, athletes, and historical figures, are meticulously mapped within GKG. This extensive knowledge base is what makes GKG such a powerful tool. The breadth of data allows for intricate queries, such as determining when Neil Armstrong landed on the Moon or when Frank Sinatra was born. However, the limitations of a general-purpose knowledge graph like GKG become evident when more specialized or in-depth information is required.

General Purpose Knowledge Graphs

Projects like DBpedia and the now-defunct Freebase have set the standard for general-purpose knowledge graphs. These public initiatives aggregate a wealth of well-known, open-source information, making them invaluable for straightforward queries. For example, if you want to know when a famous historical figure was born or when a significant event occurred, these knowledge graphs can provide quick and accurate answers.
However, the capabilities of general-purpose knowledge graphs extend beyond just answering basic questions. They are also instrumental in applications such as voice assistants, where Google Assistant and Alexa rely on these knowledge graphs to provide relevant and precise information.

Niche Knowledge Graphs

For specific needs, more specialized knowledge graphs often prove indispensable. In scenarios where the information is not publicly available or when more in-depth and intricate queries are required, dedicated knowledge graphs can provide unparalleled value.
Consider the research and development (RD) department of a life science company. Here, a specialized knowledge graph could contain detailed academic data and research findings. Such a graph would enable scientists to ask complex questions, such as identifying the genes directly or indirectly related to wheat resistance to mildew. Similarly, in a corporate setting, the need for internal company data might necessitate a knowledge graph that can address specific business-oriented questions, such as the technical challenges on a particular project or the tools used to track website visits.

Creating Your Own Knowledge Graph

If your interests align with creating a knowledge graph around a specific subject or collaborating with others on a particular topic, Glow offers a user-friendly platform to get started. Whether you are a researcher, a company, or an individual with a specialized interest, this platform provides a powerful tool for building and managing your own knowledge graph.

By understanding the various types of knowledge graphs, their strengths, and their limitations, you can make informed decisions about which platform to use and how to leverage them to enhance your knowledge management and decision-making processes.