BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//PoolParty Semantic Suite - ECPv6.5.1.5//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.poolparty.biz
X-WR-CALDESC:Events for PoolParty Semantic Suite
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Vienna
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20211031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20211214T160000
DTEND;TZID=Europe/Vienna:20211214T170000
DTSTAMP:20260430T063343
CREATED:20211122T115433Z
LAST-MODIFIED:20250326T141408Z
UID:147018-1639497600-1639501200@www.poolparty.biz
SUMMARY:Webinar: Managing inconsistencies in data processing for enterprise knowledge graphs
DESCRIPTION:ON-DEMAND WEBINAR \n			\n				\n				\n				\n				\n				Managing Inconsistencies in Data Processing for Enterprise Knowledge Graphs\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n					\n						Speakers\n						Albin Ahmeti\, Data & Knowledge Engineer at Semantic Web Company \nYavor Nenov\, Chief Science Officer at Oxford Semantic Technologies \nRobert David\, CTO at Semantic Web Company \n					\n				\n			\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				The Semantic Web provides a graph-based organisation of knowledge that has become popular in enterprises under the term enterprise knowledge graphs. It allows a lot of flexibility for modeling as well as combining data sets by linking graphs together\, which has the potential to solve enterprise data heterogeneity problems in a bottom-up and flexible manner. \nWhen processing and linking together graph data in enterprises on a large scale\, ETL (Extract-Transform-Load) processes supporting Semantic Web standards are used for automation. These processes\, while being able to handle heterogeneity\, have to consider a lot of different complex cases and therefore issues regarding inconsistencies and incompleteness in the data can occur. \nTo keep control of data quality\, we use approaches to analyze and adapt the data so that inconsistencies can be taken into account for further actions or\, if possible\, the data is automatically repaired. \nThe Semantic Web provides SHACL\, the shapes constraint language\, for graph data validation to detect inconsistencies regarding defined constraints and report them for further processing. \nIn this talk\, we present an approach for validation and processing of inconsistencies to improve the quality for large knowledge graphs. We show a prototypical system which implements this in a high performance setup based on the RDFox triple store\, where we combine SHACL validation with Datalog rules to demonstrate inconsistency management for practical use cases. \n			\n				\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Speakers\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					Albin Ahmeti\n					Data and Knowledge Engineer at Semantic Web Company \n					 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					Yavor Nenov\n					Chief Science Officer at Oxford Semantic Technologies \n					 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					Robert David\n					CTO at Semantic Web Company
URL:https://www.poolparty.biz/events/webinar-managing-inconsistencies-in-data-processing-for-enterprise-knowledge-graphs/
CATEGORIES:On-demand Webinars
ATTACH;FMTTYPE=image/png:https://www.poolparty.biz/wp-content/uploads/2021/11/Managing-inconsistencies-in-data-processing-for-enterprise-knowledge-graphs.png
END:VEVENT
END:VCALENDAR