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Upcoming Events

Topics in Knowledge Graphs 2021
Prepare students for research in knowledge graphs. Teach students how to: Read and find relevant research papers, Present research ideas, Synthesize material, Identify gaps in existing research, Critically review (as one might do for a publication venue) Develop a literature corpus for use in research.
This course will discuss emerging trends in research on semantic technologies, focusing on knowledge representation, management, and modeling, including applications of knowledge graphs and ontologies. This is a seminar course, not a lecture course. Students will give many presentations and lead discussions throughout the course that will help them to understand, conduct, and evaluate academic research while we discuss the emerging trends in semantic technologies. This course is intended to give students a foundation that will allow them to participate in leading edge semantics research and also provide students with an opportunity to produce a research survey. The research survey may serve as a foundation for a related work chapter of a thesis and can also serve as a way to fulfill the research qualifying examination requirement in the CS program. Participants will read relevant papers and learn how to critically review ontology and knowledge graph papers, as well as ontologies and knowledge graphs themselves. They will also use the review to propose a research topic in knowledge graphs that can serve as the basis for their dissertation research, or as an investigation within a project they are currently working on.

Dates: August 26, 2021 - December 13, 2021
Concepts: ,

Recent Events

4th International Workshop on Geospatial Linked Data
Geospatial data is vital for both traditional applications like navigation, logistics, and tourism and emerging areas like autonomous vehicles, smart buildings and GIS on demand. Spatial linked data has recently transitioned from experimental prototypes to national infrastructure. However the next generation of spatial knowledge graphs will integrate multiple spatial datasets with the large number of general datasets that contain some geospatial references (e.g., DBpedia, Wikidata). This integration, either on the public Web or within organizations has immense socio-economic as well as academic benefits. The upsurge in Linked data related presentations in the recent Eurogeographics data quality workshop shows the deep interest in Geospatial Linked Data (GLD) in national mapping agencies. GLD enables a web-based, interoperable geospatial infrastructure. This is especially relevant for delivering the INSPIRE directive in Europe. Moreover, geospatial information systems benefit from Linked Data principles in building the next generation of spatial data applications e.g., federated smart buildings, self-piloted vehicles, delivery drones or automated local authority services. This workshop invites papers covering the challenges and solutions for handling with GLD, especially for building high quality, adaptable, geospatial infrastructures and next-generation spatial applications. We aim to demonstrate the latest approaches and implementations and to discuss the solutions to challenges and issues arising from research and industrial organizations. The best papers will be invited to submit their extended version to the special issue in the ISPRS International Journal of Geo-Information Semantic Spatial Web.

Dates: June 7, 2021 - June 7, 2021
18th Extended Semantic Web Conference
The ESWC is a major venue for discussing the latest scientific results and technology innovations around semantic technologies. Building on its past success, ESWC is seeking to broaden its focus to span other relevant related research areas in which Web semantics plays an important role. The goal of the Semantic Web is to create a Web of knowledge and services in which the semantics of content is made explicit and content is linked to both other content and services allowing novel applications to combine content from heterogeneous sites in unforeseen ways and support enhanced matching between users needs and content. This network of knowledge-based functionality will weave together a large network of human knowledge, and make this knowledge machine-processable to support intelligent behaviour by machines. Creating such an interlinked Web of knowledge which spans unstructured text, structured data (e.g. RDF) as well as multimedia content and services requires the collaboration of many disciplines, including but not limited to: Artificial Intelligence, Natural Language Processing, Databases and Information Systems, Information Retrieval, Machine Learning, Multimedia, Distributed Systems, Social Networks, Web Engineering, and Web Science. These complementarities are reflected in the outline of the technical program of the ESWC 2020. ESWC 2020 will present the latest results in research, technologies and applications in its field. Besides the technical program organized over numerous tracks, the conference will feature a workshop and tutorial program, system descriptions and demos, a posters exhibition and a doctoral symposium.

Dates: June 6, 2021 - June 10, 2021
Data Analytics 2021

Dates: January 30, 2021 - June 10, 2021
Concepts: Big Data, Analytics