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Connecting the Knowledge Ecosystem Founded in 2019 at Columbia University, The Knowledge Graphs Conference is emerging as the premiere source of learning around knowledge graph technologies. We believe knowledge graphs are an underutilized yet essential force for solving complex societal challenges like climate change, democratizing access to knowledge and opportunity, and capturing business value made possible by the AI revolution.
KGC bridges the gap between industry, which is increasingly recognizing the necessity of integrated data, and academia, where semantic technologies have been developing for over twenty years. Our events, education, content, and community efforts facilitate meaningful exchange between diverse groups, and increase awareness, development and adoption of this powerful technology.
Conference – bridging the gap between research and industry
We organize workshops and tutorials to progress a number of Tech4Good themes, targeting objectives such as the United Nations Sustainable Development Goals and the development of a COVID-19 vaccine. At our most recent conference, 530 attendees participated, representing over thirty industries across forty-two countries. Speakers ranged from Bell Labs pioneer John Sowa to Morgan Stanley, AstraZeneca, and leading academics from Europe and USA. A variety of workshops and tutorials were also given, including several on tech4good themes–from the UN SDGs to personal health graphs and fake news.
KGC Vision and Values
Our goal is to build the community and become a leading source of learning around knowledge graphs.
We will achieve this by engaging and convening industry leaders and innovators, across sectors.
We will focus on the diversity of perspectives:
Professional Diversity: Industry practitioners, Business Users, Faculty, Scientists, Students
Gender & Age diversity
We will gather, share and publish content to increase learning.
We will build the community online and in-person through our content, meetups and conferences.
Live stream preview
Integrating data from knowledge graphs to enhance library discovery
As part of the Linked Data For Production: Pathway to Implementation (LD4P2) project’s larger goal of building a pathway to the use of linked data in the description of library resources, we are exploring the integration of linked data sources in library discovery interfaces. Through a series of focused experiments and prototype building, aided by user studies and feedback, we have explored linking and displaying connections between library catalog data and linked data sources such as Wikidata and DbPedia as well as library authorities such as FAST, Library of Congress Subject Headings, and the Library of Congress Name Authority File. Examples of areas we investigated for the integration of linked data include: knowledge panels bringing in contextual information and relationships from knowledge graphs like Wikidata to describe people and subjects related to library resources in the catalog; suggested searches based on user-entered queries using results from Wikidata and DbPedia; and browsing experiences for subjects and authors bringing in relationships and data from Wikidata and library authorities. In this presentation, we will review the challenges and opportunities with bringing in information from external knowledge graphs into a library catalog to support discovery. LD4P2 (http://ld4p.org) is a multi-institution collaborative effort funded by the Andrew W. Mellon Foundation.