دورية أكاديمية
Knowledge explorer:exploring the 12-billion-statement KnowWhereGraph using faceted search (demo paper)
| العنوان: | Knowledge explorer:exploring the 12-billion-statement KnowWhereGraph using faceted search (demo paper) |
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| المؤلفون: | Liu, Zilong, Gu, Zhining, Thelen, Thomas, Estrecha, Seila Gonzalez, Zhu, Rui, Fisher, Colby K., D'Onofrio, Anthony, Shimizu, Cogan, Janowicz, Krzysztof, Schildhauer, Mark, Stephen, Shirly, Rehberger, Dean, Li, Wenwen, Hitzler, Pascal |
| المساهمون: | Renz, Matthias, Sarwat, Mohamed, Nascimento, Mario A., Shekhar, Shashi, Xie, Xing |
| المصدر: | Liu , Z , Gu , Z , Thelen , T , Estrecha , S G , Zhu , R , Fisher , C K , D'Onofrio , A , Shimizu , C , Janowicz , K , Schildhauer , M , Stephen , S , Rehberger , D , Li , W & Hitzler , P 2022 , Knowledge explorer : exploring the 12-billion-statement KnowWhereGraph using faceted search (demo paper) . in M Renz , M Sarwat , M A Nascimento , S Shekhar & X Xie (eds) , 30th ACM SIGSPATIAL International Conference on Advances in Geographic .... |
| بيانات النشر: | Association for Computing Machinery (ACM) |
| سنة النشر: | 2022 |
| المجموعة: | University of Bristol: Bristol Reserach |
| مصطلحات موضوعية: | environmental intelligence, faceted search, knowledge graph, KnowWhereGraph, spatial query generation |
| الوصف: | Knowledge graphs are a rapidly growing paradigm and technology stack for integrating large-scale, heterogeneous data in an AI-ready form, i.e., combining data with the formal semantics required to understand it. However, toolchains that support data synthesis and knowledge discovery through information organization, search, filtering, and visualization have been developed at a pace lagging knowledge graph technology. In this paper, we present Knowledge Explorer, an open-source faceted search interface that provides environmentally intelligent services for interactively browsing and navigating KnowWhereGraph. Currently one of the largest open knowledge graphs, KnowWhereGraph contains over 12 billion statements with rich spatial and temporal information from more than 30 data layers. With an extensive collection of facets, Knowledge Explorer enables spatial, temporal, full-text, and expert search with dereferencing functionality to support "follow-your-nose"exploration, and it allows users to narrow their search by selecting facets. Given the size of the underlying graph and dependency on GeoSPARQL, we have improved query performance by implementing Elasticsearch indexing, spatial query generation, and caching. Knowledge Explorer is capable of retrieving information within seconds, answering a wide variety of competency questions posed by researchers, humanitarian relief organizations, and the broader public, thus helping better perform tasks such as cross-gazetteer place retrieval and disaster assessment from global to local geographic scales. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| ردمك: | 978-1-4503-9529-8 1-4503-9529-5 |
| العلاقة: | https://research-information.bris.ac.uk/en/publications/d3c13652-6aeb-4e1a-96de-2d2e623a420eTest; urn:ISBN:9781450395298 |
| DOI: | 10.1145/3557915.3561009 |
| الإتاحة: | https://doi.org/10.1145/3557915.3561009Test https://hdl.handle.net/1983/d3c13652-6aeb-4e1a-96de-2d2e623a420eTest https://research-information.bris.ac.uk/en/publications/d3c13652-6aeb-4e1a-96de-2d2e623a420eTest http://www.scopus.com/inward/record.url?scp=85143592300&partnerID=8YFLogxKTest |
| حقوق: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.CEB7CD60 |
| قاعدة البيانات: | BASE |
| ردمك: | 9781450395298 1450395295 |
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| DOI: | 10.1145/3557915.3561009 |