Showing papers by "Matthew Horridge published in 2019"
TL;DR: WebProtege as discussed by the authors is a cloud-based application that allows users to collaboratively edit OWL ontologies, and it is available for use at this https://www.webprotege.com/
Abstract: We present WebProtege, a tool to develop ontologies represented in the Web Ontology Language (OWL) WebProtege is a cloud-based application that allows users to collaboratively edit OWL ontologies, and it is available for use at this https URL WebProtegee currently hosts more than 68,000 OWL ontology projects and has over 50,000 user accounts In this paper, we detail the main new features of the latest version of WebProtege
19 citations
TL;DR: The Pinterest Taxonomy as mentioned in this paper is a taxonomy of noisy terms that forms the core of Pinterest's knowledge graph, the Pinterest Taste Graph, which is used for content recommendation and ad targeting.
Abstract: Pinterest is a popular Web application that has over 250 million active users. It is a visual discovery engine for finding ideas for recipes, fashion, weddings, home decoration, and much more. In the last year, the company adopted Semantic Web technologies to create a knowledge graph that aims to represent the vast amount of content and users on Pinterest, to help both content recommendation and ads targeting. In this paper, we present the engineering of an OWL ontology---the Pinterest Taxonomy---that forms the core of Pinterest's knowledge graph, the Pinterest Taste Graph. We describe modeling choices and enhancements to WebProtege that we used for the creation of the ontology. In two months, eight Pinterest engineers, without prior experience of OWL and WebProtege, revamped an existing taxonomy of noisy terms into an OWL ontology. We share our experience and present the key aspects of our work that we believe will be useful for others working in this area.
8 citations
26 Oct 2019
TL;DR: The Pinterest Taxonomy as mentioned in this paper is a taxonomy of noisy terms that forms the core of Pinterest's knowledge graph, the Pinterest Taste Graph, which was created by eight engineers without prior experience of OWL and WebProtege.
Abstract: Pinterest is a popular Web application that has over 250 million active users. It is a visual discovery engine for finding ideas for recipes, fashion, weddings, home decoration, and much more. In the last year, the company adopted Semantic Web technologies to create a knowledge graph that aims to represent the vast amount of content and users on Pinterest, to help both content recommendation and ads targeting. In this paper, we present the engineering of an OWL ontology—the Pinterest Taxonomy—that forms the core of Pinterest’s knowledge graph, the Pinterest Taste Graph. We describe modeling choices and enhancements to WebProtege that we used for the creation of the ontology. In two months, eight Pinterest engineers, without prior experience of OWL and WebProtege, revamped an existing taxonomy of noisy terms into an OWL ontology. We share our experience and present the key aspects of our work that we believe will be useful for others working in this area.
6 citations