Wikidata graph builder example how to#
Wikidata graph builder example code#

A workable and reusable pipeline leads to fast methodsįor testing and optimizing parameters used in the machine.A variety of machine learning methods can reduce theĮffort required to add new concepts by 95% or more.

Wikidata graph builder example how to#

General methods are explored and documented for how to.To extending KBpedia with any external schema, ontology or vocabulary. The semi-automatic methods in this use case can be applied Results are then inspected by a human to make the final selectionĭecisions. Once appropriateĬandidate categories are generated using this optimized model, the Methods to achieve the best-performing model. Statistical reporting, enabling rapid refinements in parameters and The overall process is captured by a repeatable pipeline with Web application to help build confidence that the mapping clusters areĬorrect. These mapping techniques are then visualized using Means are put in place to testĪnd optimize the parameters used in the machine learning The source graph is based on the KBpedia knowledge graph structure linked Structure, 'cleaned' to produce its most natural classes.These extensions are made using a SVMĬlassifier trained over graph-based embedding vectors generated using the DeepWalk We extend KBpedia's knowledge graph under this useĬase by adding more concepts from the Wikipedia category Must be found for enhancing or updating these knowledge Effective means at acceptable time and cost The combinatorial aspects of adding newĮxternal schema or concepts to an existing store of conceptsĬan be extensive. Knowledge graphs are under constant change and need to beĮxtended with specific domain information for particularĭomain purposes.

New knowledge and new mappings, can be so maintained with KBpedia, which need to be kept current and extended based on Graph ( graph-data= 'aphData' active-item= 'ctrl.activeItem' mode= 'ctrl.mode' size-log-scale= 'ctrl.This use case describes how knowledge graphs, such as

Wikidata graph builder example code#

footer The source code released under # at #. | Wikidata Graph Builder requires JavaScript to be enabled Md-content ( ng-hide= 'ctrl.showSvg & ctrl.wdqs' md-scroll-y layout-padding ) Md-progress-linear ( md-mode= 'query' ng-show= 'ctrl.isLoading' ) Md-button ( ng-click= 'ctrl.list()' ng-disabled= '!(ctrl.validate() & (ctrl.mode = 'forward' || ctrl.mode = 'reverse'))' ) Wikidata generic tree Md-button ( ng-click= 'ctrl.query()' ng-disabled= '!ctrl.validate()' ) Wikidata Query Service - md-checkbox(ng-model='ctrl.size_log_scale') Log10 Sizeĭiv ( layout= 'row' style= 'margin: 9px 4px 9px 0' ) - md-checkbox(ng-model='ctrl.size_recursive') Recursive Size +propertyField( 'ctrl.size_property', 'Size Property') Input ( ng-model= 'ctrl.limit' type= 'number' value= '0' min= '0' size= '2' ) Input ( ng-model= 'erations' type= 'number' value= '0' min= '0' ) +propertyField( 'ctrl.property', 'Traversal Property') Textarea ( ng-model= 'ctrl.wdqs' ng-show= 'ctrl.mode = 'wdqs'' ng-focus= 'wdqs_edit = true' ng-blur= 'wdqs_edit = false' ) query Input ( ng-model= 'ctrl.lang' type= 'text' placeholder= '?' size= '4' ) Md-input-container ( flex ng-show= 'ctrl.mode != 'wdqs'' ) Md-menu-class= 'autocomplete-header-template' Md-items= 'item in emSearch(' + ob + 'Text)'