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Jan 7, 2025 · Thus, this paper presents a method for automatically constructing knowledge graphs by integrating intelligent systems. The method involves designing a multiagent system …

AI enabled organizational knowledge graph for structure, design and visualization. Simple hierarchial org chart visualizations are the backbone of creating what we are calling 3D org …

Our tool can view the knowledge graph in 3-dimensional space and automatically convert the query to the SPARQL statement. In this paper, we present the superiority of KG3D over other …

Jul 23, 2018 · Check out how Michael Hunger interacts with graphs through 3D graph visualization by using three.js, which combines 3D technology and WebGL.

Apr 1, 2023 · Inspired by CompoundE and Rotate3D, we leverage 3D compound geometric transformations, including translation, rotation, scaling, reflection, and shear and propose a …

Oct 27, 2022 · To establish the knowledge graph, we employ geometric words as nodes, connecting them via shape categories and geometry attributes. Subsequently, we devise a …

With humanitarian relief specialists in mind, we offer a 3D geovisualization tool, GeoGraphVis, for searching for, visualizing, analyzing, and discovering knowledge in KnowWhereGraph that is …

Specifically, we exploit an external knowl-edge base as a baseline to accumulate both contextual-ized visual content and textual facts to form a 3D spa-tial multimodal knowledge graph.

Link prediction is to predict missing relations between entities for Knowledge Graph Completion (KGC). Convolution neural network has been used in much previous.

Apr 24, 2024 · In this work, we describe a CityGML-KG framework to expose the CityGML data in 3DCityDB as a KG. To evaluate our approach, we use CityGML data from the city of Munich …

We propose a novel multimodal framework that explicitly combines graph-based conceptual knowledge with deep neural networks for 3D shape reconstruction from a single RGB image. …

Oct 27, 2022 · In this paper, we propose an innovative concept, namely, geometric words, which is regarded as the basic element to represent any 3D or 2D entity by combination, and …

Aug 3, 2020 · In this paper, we propose a novel 3D model retrieval method based on a 3D shape knowledge graph. We first introduce the concept of a geometric word that can be utilized to …

Nov 1, 2019 · To help end-users better retrieve information from RDF data and explore the knowledge graph without SPARQL or knowing the relation types, we developed an interactive …

Aug 13, 2023 · In this paper, we investigate the application of commonsense knowledge graphs for 3D scene graph prediction on point clouds of indoor scenes.

We introduce the task of predicting functional 3D scene graphs for real-world indoor environments from posed RGB-D images. Unlike traditional 3D scene graphs that focus on spatial …

A Knowledge Graph (KG), which structurally represents entities (nodes) and relationships (edges), offers a powerful and flexible approach to knowledge representation in the field of …

2 days ago · Mar 27, 2025 · 4 min read Knowledge Graph Helps Build AI Rooted in Learning Science Learn how CZI’s Knowledge Graph is helping developers and educators build AI tools …

Mar 20, 2025 · Creating a knowledge graph for analytics is essential in today's data-centric world. It helps businesses extract valuable insights from their data. This article will guide you on how …

Feb 25, 2025 · A knowledge graph represents real-world entities (objects, events, etc.) and the relationships between them. Objects are represented as nodes, and relationships as edges …

2 days ago · The inability of autonomous vehicles (AVs) to infer the material properties of obstacles limits their decision-making capacity. While AVs rely on sensor systems such as …

Mar 17, 2025 · This study presents iKraph, a large-scale biomedical knowledge graph built using an award-winning natural language processing pipeline with expert-level accuracy. Using …

2 days ago · Scalability: Knowledge graphs can easily scale as organizations grow, accommodating new data sources and evolving governance requirements. What further …

Mar 3, 2025 · High-resolution 3D histology captures and analyzes the three-dimensional architecture of tissues, cells, and molecules using advanced imaging, spatial omics, …