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X-WR-CALNAME:PoolParty Semantic Suite
X-ORIGINAL-URL:https://www.poolparty.biz
X-WR-CALDESC:Events for PoolParty Semantic Suite
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DTSTART;TZID=Europe/Berlin:20240125T170000
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DTSTAMP:20260404T103143
CREATED:20231221T090302Z
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SUMMARY:Neo4j and PoolParty: Building a Semantics-Based Recommender System for ESG Documents
DESCRIPTION:Knowledge Graphs have become increasingly important for knowledge representation and data consolidation in enterprises. They provide the basis to solve complex data problems\, provide insights into data and thereby support intelligent decision making at the digital workplace. \nIn this talk\, we present an approach to bring together Semantic Web technologies and Neo4j to build a knowledge-based recommender that is powered by a semantic knowledge graph and processes the recommendations using a property graph representation. \nWe present the use case of analysing ESG-related documents and supporting the writing of ESG reports by providing intelligent insights into ESG standards and documents. \n			\n				Visit Event page\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					Astrid Krickl\n					Data Knowledge Engineer\, Semantic Web Company \n					Astrid is working at Semantic Web Company since very recently\, November 2022 as a Data and Knowledge Engineer. She studied business informatics at UAS Technikum Vienna and worked already as software developer and tester\, and later as system engineer at WU Vienna. She also has research experience as she worked as a research and teaching associate at WU Vienna. There she investigated in tools and techniques (mainly NLP and machine learning) that can help with the problem of misinformation and fake news. \n					XLinkedIn
URL:https://www.poolparty.biz/events/building-semantics-based-recommender-system/
LOCATION:online
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://www.poolparty.biz/wp-content/uploads/2023/12/recommender.jpg
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