KGPrune aims at extracting a subgraph of Wikidata related to input entities of interest to you. In particular, our approach starts from such seed entities, and keeps or prunes their neighboring entities. This process allows you to extract a subgraph of Wikidata related to your domains of interest.
Aug 26, 2024 · We introduce KGPrune, a Web Application that, given seed entities of interest and properties to traverse, extracts their neighboring subgraphs from Wikidata.
Aug 26, 2024 · In this paper, we presented KGPRUNE, a Web Application allowing users to extract subgraphs of interest from Wikidata by providing seed entities ...
Sep 12, 2024 · We introduce KGPrune, a Web Application that, given seed entities of interest and properties to traverse, extracts their neighboring subgraphs from Wikidata.
Aug 26, 2024 · It uses analogical pruning to efficiently select relevant neighbors while discarding irrelevant ones, addressing scalability issues and the need ...
These two aspects asks for efficient methods to extract subgraphs of interest from existing KGs. To this aim, we introduce KGPrune, a Web Application that, ...
Aug 27, 2024 · KGPrune is a web-based tool that allows users to extract specific parts or subgraphs from the enormous Wikidata knowledge graph.
Oct 19, 2024 · To avoid topical drift, KGPrune relies on a frugal pruning algorithm based on analogical reasoning to only keep relevant neighbors while pruning ...
Sep 3, 2024 · Very glad to announce KGPrune, a Web Application to Extract Subgraphs of Interest from Wikidata with Analogical Pruning, accepted as a demo ...
Aug 30, 2024 · "KGPrune: a Web Application to Extract Subgraphs of Interest from Wikidata with Analogical Pruning" https://arxiv.org/html/2408.14658v1…