Abstract
Intelligent Personal Assistants are changing the way we access the information on the web as search engines changed it years ago. Undoubtfully, an important factor that enables this way of consuming the web is the schema.org annotations on websites. Those annotations are extracted and then consumed by search engines and Intelligent Personal Assistants to support tasks like question-answering. In this section we explain how Knowledge Graphs built based on content, data, and service annotations can improve search engine results and conversational systems. We first give a brief overview of the history of the Internet, AI, and web and the role semantic technologies is playing in bringing those three to the point we are today. Then we show the need for an abstraction layer over Knowledge Graphs where we can create different knowledge views in order to achieve scalable curation, reasoning, and access control. Finally, we show how Knowledge Graphs can power conversational agents in different points in the dialog system pipeline and the promising future of service annotations helping to build flexible systems decoupled from the web services with which they communicate.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
