%0 Conference Paper %1 10.1007/978-3-030-30796-7_26 %A Goncalves, Rafael S. %A Horridge, Matthew %A Li, Rui %A Liu, Yu %A Musen, Mark A. %A Nyulas, Csongor I. %A Obamos, Evelyn %A Shrouty, Dhananjay %A Temple, David %B The Semantic Web -- ISWC 2019 %C Cham %D 2019 %E Ghidini, Chiara %E Hartig, Olaf %E Maleshkova, Maria %E Svátek, Vojtech %E Cruz, Isabel %E Hogan, Aidan %E Song, Jie %E Lefrancois, Maxime %E Gandon, Fabien %I Springer International Publishing %K pinterest semantic tech. web %P 418--435 %T Use of OWL and Semantic Web Technologies at Pinterest %X 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 WebProtégé that we used for the creation of the ontology. In two months, eight Pinterest engineers, without prior experience of OWL and WebProtégé, 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. %@ 978-3-030-30796-7

@inproceedings{10.1007/978-3-030-30796-7_26, 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 WebProt{\'e}g{\'e} that we used for the creation of the ontology. In two months, eight Pinterest engineers, without prior experience of OWL and WebProt{\'e}g{\'e}, 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.}, added-at = {2024-03-25T21:34:40.000+0100}, address = {Cham}, author = {Gon{\c{c}}alves, Rafael S. and Horridge, Matthew and Li, Rui and Liu, Yu and Musen, Mark A. and Nyulas, Csongor I. and Obamos, Evelyn and Shrouty, Dhananjay and Temple, David}, biburl = {https://www.bibsonomy.org/bibtex/2f5ccb743c43f4898684baa0d48259a1f/maseric}, booktitle = {The Semantic Web -- ISWC 2019}, editor = {Ghidini, Chiara and Hartig, Olaf and Maleshkova, Maria and Sv{\'a}tek, Vojt{\v{e}}ch and Cruz, Isabel and Hogan, Aidan and Song, Jie and Lefran{\c{c}}ois, Maxime and Gandon, Fabien}, interhash = {f146d699faa85538c2a6c4e651bacedc}, intrahash = {f5ccb743c43f4898684baa0d48259a1f}, isbn = {978-3-030-30796-7}, keywords = {pinterest semantic tech. web}, pages = {418--435}, publisher = {Springer International Publishing}, timestamp = {2024-03-25T21:34:40.000+0100}, title = {Use of OWL and Semantic Web Technologies at Pinterest}, year = 2019 }