Knowledge Graphs: Empower AI with Knowledge

Abstract

Knowledge Graphs provide large amounts of semantically described and interlinked knowledge bases integrating various and heterogeneous data and information sources. Building and maintaining them is not an easy task, however, many important complementary trends require their development and usage. - Turning the web into a semantically-enabled query answering infrastructure by applying schema.org. Data, content, and services become semantically annotated allowing software agents, so-called bots, to search through the web understanding its content. The times where humans were browsing through a large number of websites and manually extracting and interpreting their information are passing by. Instead, players like Google want to provide answers on their website rather than link farms that make the user leave immediately. The aim is to provide an engine that helps to find, aggregate, and personalize information, to reserve, book, or buy products and services for him. In consequence, it becomes increasingly important for providers of information, products, and services to be highly hearable and visible in these and future new online channels to ensure their future economic maturity. - Providing dialogue-based interfaces to large and heterogeneous information by intelligent softbots. Smart speakers such as Alexa and later Google Home introduced Artificial Intelligence (AI) in millions soon billions of households making AI an everyday experience. We can now look for information, order products and services, without leaving the house or touching a computer. We just talk to a box and this thing will friendly perform the desired tasks for us. These new communication channels define new challenges for successful eMarketing and eCommerce. Just running a traditional website with many colorful pictures is no longer state of the art for successful eCommerce. - Producing AI-based autonomous systems acting in the physical world. Morphing intelligent agents from the virtual world into the physical one is still a great challenge. Meanwhile, they win every virtual game such as checkers, chess, go, or quiz but in physical games, they act still quite cumbersome. An area with increasing success is autonomous traffic. Here, autonomous cars provide a major challenge and potential break-through of this technology. Still, without proper world knowledge based on up-to-date knowledge graphs also come along with severe risk which may significantly hamper the uptake of this technology. In our talk, we discuss methods and tools helping to achieve these goals. The core is the development and application of machine-processable (semantic) annotations of online resources as well as their aggregation in large Knowledge Graphs. Only this enables bots to not only understand a question but being able to answer a question knowledgeably and to organize a useful dialogue. We discuss the process of knowledge generation, hosting, curation, and deployment focusing on the usage of the knowledge graph to support dialog-based interfaces.