{"title":"海量图的隐喻","authors":"Aaron Eberhart, P. Haase, Wolfgang Schell","doi":"10.1145/3578245.3585330","DOIUrl":null,"url":null,"abstract":"Knowledge Graphs and semantic technologies allow scientists and domain experts to model complex relations between data in a logically structured and machine readable format. metaphactory is a platform that enables users to build these kinds of semantic graphs easily and efficiently. metaphactory uses standards such as RDF in combination with OWL, SKOS, SHACL, and others to provide a flexible endpoint to interact with graphs of varying complexity and expressivity. As part of the Graph-Massivizer project, metaphactory is supporting integration and infrastructure consolidation for components developed in the project. Part of this work is to develop a toolkit which metaphactory uses to process very large graphs without sacrificing sustainability. In this paper we describe in detail the metaphactory platform and how it supports large-scale graph processing in the Graph-Massivizer project, as well as outlining the current efforts within the project and how they aim to increase capabilities in the present to support future work.","PeriodicalId":190503,"journal":{"name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"metaphactory for Massive Graphs\",\"authors\":\"Aaron Eberhart, P. Haase, Wolfgang Schell\",\"doi\":\"10.1145/3578245.3585330\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Knowledge Graphs and semantic technologies allow scientists and domain experts to model complex relations between data in a logically structured and machine readable format. metaphactory is a platform that enables users to build these kinds of semantic graphs easily and efficiently. metaphactory uses standards such as RDF in combination with OWL, SKOS, SHACL, and others to provide a flexible endpoint to interact with graphs of varying complexity and expressivity. As part of the Graph-Massivizer project, metaphactory is supporting integration and infrastructure consolidation for components developed in the project. Part of this work is to develop a toolkit which metaphactory uses to process very large graphs without sacrificing sustainability. In this paper we describe in detail the metaphactory platform and how it supports large-scale graph processing in the Graph-Massivizer project, as well as outlining the current efforts within the project and how they aim to increase capabilities in the present to support future work.\",\"PeriodicalId\":190503,\"journal\":{\"name\":\"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3578245.3585330\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3578245.3585330","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Knowledge Graphs and semantic technologies allow scientists and domain experts to model complex relations between data in a logically structured and machine readable format. metaphactory is a platform that enables users to build these kinds of semantic graphs easily and efficiently. metaphactory uses standards such as RDF in combination with OWL, SKOS, SHACL, and others to provide a flexible endpoint to interact with graphs of varying complexity and expressivity. As part of the Graph-Massivizer project, metaphactory is supporting integration and infrastructure consolidation for components developed in the project. Part of this work is to develop a toolkit which metaphactory uses to process very large graphs without sacrificing sustainability. In this paper we describe in detail the metaphactory platform and how it supports large-scale graph processing in the Graph-Massivizer project, as well as outlining the current efforts within the project and how they aim to increase capabilities in the present to support future work.