When searching for a person or place on a search engine such as Google, have you noticed that along with the web links, it gives additional information in a box on the right-hand side of the result page? This additional information from your search engine is based on a knowledge graph.
Knowledge graphs are used by the world’s largest tech giants to enhance their artificial intelligence (AI) offerings. Overall, a knowledge graph connects concepts and ideas together. It creates a visual graph that helps companies find connections between pieces of information that might not otherwise be easily identified as relevant to each other.
Knowledge graphs leverage connected data points to comprehend concepts, then infer meaning to understand users’ intent and queries. Hence, whenever you insert data, the graph improves its contextual knowledge.
- Relevancy across services
Knowledge graphs are what enable virtual assistants to offer relevant answers to users’ queries. Let’s assume you type “mangoes” in a search engine. A knowledge graph would start suggesting related terms, such as other fruits, “seasons for mangoes,” “benefits of mangoes,” “mango recipes,” and more. If you typed “fruit salad” prior to typing “mangoes,” the knowledge graph may recognize your intention to make a fruit salad. Therefore, it may suggest terms relevant to making fruit salads that contain mangoes.
When a user types in something in the search bar, the platform carries a text search and retrieves around 10 documents that the search algorithm ranks highest. Afterward, it builds a knowledge graph that integrates data distributed across the documents.
Then, the knowledge graph identifies ‘cornerstones,’ which are words that match individual words in the search string very closely. Each path is evaluated, and irrelevant terms are eliminated.
The algorithm continues to evaluate cornerstones according to several criteria, until it arrives at an answer for the user’s query. While this may sound like a long process, it all happens in a matter of microseconds.
- Research and knowledge discovery
Knowledge graphs increase efficiency when they are used by search engines to find information. They can aid users in discovering unexpected connections during research.
In fact, knowledge graphs harness millions of connections and conceptual links from millions of scholarly articles, books, and databases across different domains. Therefore, users can be empowered to navigate across numerous concepts and fields, which enables them to make connections that may have otherwise been overlooked. This enhances understanding and empowers users to create credible coverage that is comprehensive in less time than before.
- Evaluating risks for large corporations
Knowledge graphs can assist large corporations and governments in linking all unstructured legal documents under a more structured form. This assists enterprises in evaluating risks that may otherwise seem hidden in common legal documents.
Applications of knowledge graphs in finance
Investera, a leading financial technology services provider in the GCC and MENA has recently launched “Investera +” an all-inclusive platform that provides a suite of information on private and public companies in the GCC.
The new solution features an iKnowledge Graph, a powerful tool that gives you a birds-eye-view of any business landscape and allows you to view all the interconnections between the companies and the people that make up that landscape. The iKnowledge Graph is composed of two basic elements: nodes (the circles) and relationships (the lines connecting the circles). Each node represents an entity (a company, investor, investment, founder, etc.) and each relationship represents how two nodes are associated.
Investera + can be used by seasoned investment managers, brokers, limited partners, startups, investors, advisors, private banks, VCs, accelerators and more. The platform integrates with the stock market, updates users with upcoming events, and improves businesses and investments by leveraging data to asses investment risk and potential.
To leverage a full-fledged knowledge graph, you can contact Investera’s specialist team here: https://investera.com/
 Abdalghani Abujabal. Alex. “Teaching Computers to Answer Complex Questions” July 31, 2019.