graphdb

skos broader and narrow inverse not working

由 风流意气都作罢 提交于 2021-02-11 14:47:29
问题 I have setup GraphDB SE trial version and trying out inference functionality with OWL2-RL ruleset. I have built a simple SKOS knowledge with a single broader relationship. Some how, when I try to query for narrower relationship am not getting any results. Am I going wrong in the usage ? Insertion: PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX skos: <http://www.w3.org/2004/02/skos/core#> PREFIX owl: <http://www.w3.org/2002/07/owl#> INSERT DATA { ex:mammals rdf:type skos

error “ org.eclipse.rdf4j.sail.SailException: Invalid IRI value ”

由 流过昼夜 提交于 2021-02-08 12:13:41
问题 I have problem when i try to import my RDF file org.eclipse.rdf4j.sail.SailException: Invalid IRI value as in the image: https://i.stack.imgur.com/Gcx6L.png 回答1: It seems that you have error in the turtle file. One possible workaround is to disable the stop on error when uploading the file - http://graphdb.ontotext.com/documentation/enterprise/loading-data-using-the-workbench.html#import-settings which will upload try to upload all valid triples and skip all errors. 回答2: Always validate your

error “ org.eclipse.rdf4j.sail.SailException: Invalid IRI value ”

由 人走茶凉 提交于 2021-02-08 12:10:38
问题 I have problem when i try to import my RDF file org.eclipse.rdf4j.sail.SailException: Invalid IRI value as in the image: https://i.stack.imgur.com/Gcx6L.png 回答1: It seems that you have error in the turtle file. One possible workaround is to disable the stop on error when uploading the file - http://graphdb.ontotext.com/documentation/enterprise/loading-data-using-the-workbench.html#import-settings which will upload try to upload all valid triples and skip all errors. 回答2: Always validate your

How can I go straight to the source of a node from the Visual Graph?

由 旧巷老猫 提交于 2021-01-29 09:21:54
问题 My RDF graph has nodes pointing to external resources, like, for example, http://portal.org/dataset/MyResource. I constructed a visualization to my RDF dataset (RDF graph). When I select a node and click on it, I want to go straight to the URL http://portal.org/dataset/MyResource. However, GraphDB shows the "View node details and properties" on the right panel. And, in this panel, when I click the main link, GraphDB opens the resource details page, npt my URL. Is it possible to jump this page

Class not displayed in GraphDB

由 好久不见. 提交于 2021-01-29 07:44:36
问题 I have the following class: :Foo rdf:type owl:Class ; rdfs:subClassOf [ rdf:type owl:Restriction ; owl:onProperty :hasId ; owl:someValuesFrom rdfs:Literal ] . Strangely, that does not appear in the Class hierarchy tab of Ontotext's GraphDB. Is there any specific reason? 回答1: Is there any specific reason? From graphdb-framework-graph-explore-8.7.0.jar/dataviz-queries/getRdfClassHierarchy.sparql : PREFIX owl: <http://www.w3.org/2002/07/owl#> PREFIX sesame: <http://www.openrdf.org/schema/sesame#

Where is the “SPARQL” button in OntoRefine tab of GraphDB 9.5 Free Edition?

由 大兔子大兔子 提交于 2021-01-04 04:51:36
问题 I wanted to transform tabular data into linked data. I was trying to use SPARQL construct to achieve this in GraphDB 9.5 Free edition. From the tutorials in GraphDb website it says "You can press the button SPARQL from the right top corner to access SPARQL end point" . On the new version GraphDb 9.5 there is no SPARQL button after i loaded my tabular data. How do i access the SPARQL endpoint so that i can do my Construct queries? 回答1: With GraphDB 9.4 we introduced an entirely revamped

Most efficient way to clear a named graph?

由 旧时模样 提交于 2021-01-03 05:45:41
问题 I am working with an instance of Ontotext GraphDB and often want to clear a named graph with a large number of triples. Currently, my technique involves issuing a SPARQL command to the graph server, which searches and matches a triple pattern of every triple in the named graph: DELETE { GRAPH example:exampleGraph { ?s ?p ?o }} WHERE {?s ?p ?o .} When there are a lot of triples, this approach often takes quite some time to clear the named graph. I am wondering whether there is a more efficient

Most efficient way to clear a named graph?

由 只谈情不闲聊 提交于 2021-01-03 05:45:40
问题 I am working with an instance of Ontotext GraphDB and often want to clear a named graph with a large number of triples. Currently, my technique involves issuing a SPARQL command to the graph server, which searches and matches a triple pattern of every triple in the named graph: DELETE { GRAPH example:exampleGraph { ?s ?p ?o }} WHERE {?s ?p ?o .} When there are a lot of triples, this approach often takes quite some time to clear the named graph. I am wondering whether there is a more efficient

综述 | 知识图谱技术综述（下）

由 孤街浪徒 提交于 2020-12-06 05:59:05
题目：知识图谱技术综述 作者：徐增林，盛泳潘，贺丽荣，王雅芳 摘 要 知识图谱技术 是人工智能技术的重要组成部分，其建立的具有 语义处理 能力与 开放互联 能力的 知识库 ，可在 智能搜索、智能问答、个性化推荐 等智能信息服务中产生应用价值。 该文在全面阐述知识图谱定义、架构的基础上，综述知识图谱中的 知识抽取、知识表示、知识融合、知识推理 四大核心技术 的研究进展以及一些典型应用。该文还将评论当前研究存在的挑战。 关 键 词： 知识融合; 知识图谱技术; 知识表示; 开放互联; 语义处理 目录 0 导 读 1 知识图谱的定义与架构 1.1 知识图谱的定义 1.2 知识图谱的架构 2 大规模知识库 2.1 开放链接知识库 2.2 垂直行业知识库 3 知识图谱的关键技术 3.1 知识抽取 3.2 知识 表示 3.3 知识融合 3.4 知识推理 4 知识图谱的典型应用 4.1 智能搜索 4.2 深度问答 4.3 社交网络 4.4 垂直行业应用 5 知识图谱的挑战 5.1 知识获取 5.2 知识表示 5.3 知识融合 5.4 知识应用 6 结束语 7 参考文献 3.知识图谱的关键技术 前文回顾 3.1 知识抽取 3.1.1 实体抽取 1) 基于规则与词典的实体抽取方法 2) 基于统计机器学习的实体抽取方法 3) 面向开放域的实体抽取方法 3.1.2 关系抽取 1) 开放式实体关系抽取 2
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