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Evaluating the quality of the LOD cloud: An empirical investigation

Jeremy Debattista, Christoph Lange, Sören Auer, Dominic Cortis, Ruben Verborgh
2018 Semantic Web Journal  
Thereafter, based on our empirical study, we present an aggregated view of the Linked Data quality in general.  ...  In this quantitative empirical survey, we analyse 130 datasets (≈ 3.7 billion quads), extracted from the latest Linked Open Data Cloud using 27 Linked Data quality metrics, and provide insights into the  ...  Debattista et al. / Evaluating the Quality of the LOD Cloud: An Empirical Investigation This term is often used to name the process of aggregating resources based on inverse functional properties  ... 
doi:10.3233/sw-180306 fatcat:fkz63f3durddnpr6bz5alvzr7e

Information-Theoretic Analysis Of Entity Dynamics On The Linked Open Data Cloud

Chifumi Nishioka, Ansgar Scherp
2016 Zenodo  
The quality of the clusterings is evaluated using entity features such as the entities' properties, RDF types, and pay-level domain.  ...  Insights into the dynamics of entities on the LOD cloud has strong practical implications to any application requiring fresh caches of LOD.  ...  Acknowledgement This work was supported by the EU's Horizon 2020 programme under grant agreement H2020-693092 MOVING.  ... 
doi:10.5281/zenodo.61386 fatcat:pfm2et5jmncyfcwampvwzrt2ym


F. Poux, P. Hallot, R. Neuville, R. Billen
2016 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The generalisation of point cloud data associated with the heterogeneity and temporality of such datasets is the main issue regarding structure, segmentation, classification, and interaction for an immediate  ...  This contribution serves as the first step for the realisation of a comprehensive smart point cloud data structure.  ...  An important contribution to point cloud classification and feature estimation is brought by (Weinmann et al., 2015) , discussing the suitability of features that should privilege quality over quantity  ... 
doi:10.5194/isprs-annals-iv-2-w1-119-2016 fatcat:prtjp6m6gfbs7dfvvot7lx62mu

Georeferenced Point Clouds: A Survey of Features and Point Cloud Management

Johannes Otepka, Sajid Ghuffar, Christoph Waldhauser, Ronald Hochreiter, Norbert Pfeifer
2013 ISPRS International Journal of Geo-Information  
The paper gives an overview of different data handling approaches, independent of the acquisition method and the application.  ...  This paper presents a survey of georeferenced point clouds.  ...  Acknowledgments Johannes Otepka, Sajid Ghuffar and Christoph Waldhauser were (partially) supported by the project "High Performance Computational Intelligence Methoden zur Auswertung von Airborne Laser  ... 
doi:10.3390/ijgi2041038 fatcat:paprvsxpnvbrvhavb23jczeh2u

A Systematic Investigation of Explicit and Implicit Schema Information on the Linked Open Data Cloud [chapter]

Thomas Gottron, Malte Knauf, Stefan Scheglmann, Ansgar Scherp
2013 Lecture Notes in Computer Science  
Schema information about resources in the Linked Open Data (LOD) cloud can be provided in a twofold way: it can be explicitly defined by attaching RDF types to the resources.  ...  Based on these observations, we derive conclusions about the design of future schemas for LOD as well as potential application scenarios.  ...  The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 257859, ROBUST.  ... 
doi:10.1007/978-3-642-38288-8_16 fatcat:aa2tqhcbergbrae3szl3xnnyee

Instant Points: Fast Rendering of Unprocessed Point Clouds [article]

Michael Wimmer, Claus Scheiblauer
2006 Symposium Point-Based Graphics : [Proceedings]  
Instant Points is an out-of-core algorithm that makes use of nested octrees and an enhanced version of sequential point trees.  ...  We present an algorithm to display enormous unprocessed point clouds at interactive rates without requiring long postprocessing.  ...  Acknowledgements This work was supported by the TUW-Ilscan Centre of Competence at the Vienna University of Technology.  ... 
doi:10.2312/spbg/spbg06/129-136 fatcat:gamfcatu7bcqjhfiulsz737hpa

Topic profiling benchmarks in the linked open data cloud: Issues and lessons learned

Blerina Spahiu, Andrea Maurino, Robert Meusel, Axel-Cyrille Ngonga Ngomo, Irini Fundulaki, Anastasia Krithara
2018 Semantic Web Journal  
Topical profiling of the datasets contained in the Linking Open Data (LOD) cloud has been of interest since such kind of data became available within the Web.  ...  As part of this work, we present the first multi-topic classification benchmark for LOD cloud datasets, which is freely accessible.  ...  In [25] , we investigated to which extent we can automatically classify datasets from the LOD cloud into a single topic category.  ... 
doi:10.3233/sw-180323 fatcat:gofexmf4bbezhpq5ybvp5xrmgm

Visual Quality of Compressed Mesh and Point Cloud Sequences

Keming Cao, Yi Xu, Pamela Cosman
2020 IEEE Access  
B. 3D CONTENT QUALITY ASSESSMENT Subjective quality evaluation and computable quality evaluation of 3D representations are both active research topics.  ...  The impact of different reduction methods for PCs on the QoE of rendered images was investigated in [33] . There is less research on subjective quality of 3D sequences.  ... 
doi:10.1109/access.2020.3024633 fatcat:44owclnc6jdk3fc42l6rgm7dfa

On the relationship between cloud water composition and cloud droplet number concentration

Alexander B. MacDonald, Ali Hossein Mardi, Hossein Dadashazar, Mojtaba Azadi Aghdam, Ewan Crosbie, Haflidi H. Jonsson, Richard C. Flagan, John H. Seinfeld, Armin Sorooshian
2020 Atmospheric Chemistry and Physics  
The large uncertainty is, in part, due to the difficulty of predicting cloud microphysical parameters, such as the cloud droplet number concentration (Nd).  ...  Here we analyze relationships between Nd and cloud water chemical composition, in addition to the effect of environmental factors on the degree of the relationships.  ...  The limit of detection (LOD) for each ion and element measured is shown in Table S1 in the Supplement.  ... 
doi:10.5194/acp-20-7645-2020 pmid:33273899 pmcid:PMC7709908 fatcat:ltsfwtdi2rbpjhvhgkapkpithm

Kalman Filter-based Head Motion Prediction for Cloud-based Mixed Reality [article]

Serhan Gül, Sebastian Bosse, Dimitri Podborski, Thomas Schierl, Cornelius Hellge
2020 arXiv   pre-print
We analyze the performance of our approach using recorded head motion traces and compare its performance to an autoregression model for different prediction intervals (look-ahead times).  ...  However, cloud-based rendering systems suffer from an increased interaction (motion-to-photon) latency that may cause registration errors in MR environments.  ...  High-quality volumetric meshes typically contain thousands of polygons, and high-quality point clouds may contain millions to billions of points [41, 43] .  ... 
arXiv:2007.14084v1 fatcat:bbgpzj2gzrf5blp3zrqmqcqmcq

Significant decadal channel change 58–67years post-dam accounting for uncertainty in topographic change detection between contour maps and point cloud models

Jennifer K. Carley, Gregory B. Pasternack, Joshua R. Wyrick, Jesse R. Barker, Paul M. Bratovich, Duane A. Massa, Gary D. Reedy, Thomas R. Johnson
2012 Geomorphology  
17 Construction of digital elevation models (DEMs) and the subtraction of DEMs between 18 different points in time as a method to determine temporal patterns of scour and fill is a highly 19 valuable procedure  ...  These DEMs of Differences (DoDs) must be 20 assessed for error in order to distinguish actual topographic change from uncertainty and surface 21 error.  ...  Additionally, a more precise 232 assessment of uncertainty can be produced through the application of an FIS evaluation or LoD 233 grid to the original DEMs, combined with a spatial coherence analysis  ... 
doi:10.1016/j.geomorph.2012.08.001 fatcat:rllbascz4bcuboxsvfpuopbyfi

Surface Reconstruction from Point Clouds: A Survey and a Benchmark [article]

Zhangjin Huang, Yuxin Wen, Zihao Wang, Jinjuan Ren, Kui Jia
2022 arXiv   pre-print
Reconstruction of a continuous surface of two-dimensional manifold from its raw, discrete point cloud observation is a long-standing problem.  ...  In literature, a rich set of methods has been proposed, and reviews of existing methods are also provided. However, existing reviews are short of thorough investigations on a common benchmark.  ...  We conduct thorough empirical studies on the constructed benchmark, evaluating the robustness and generalization of different methods.  ... 
arXiv:2205.02413v1 fatcat:dwvfwvunbndltimcunoo3efv34

Mapping queries to the Linking Open Data cloud: A case study using DBpedia

Edgar Meij, Marc Bron, Laura Hollink, Bouke Huurnink, Maarten de Rijke
2011 Journal of Web Semantics  
We introduce the task of mapping search engine queries to DBpedia, a major linking hub in the Linking Open Data cloud.  ...  Our proposed method significantly improves upon these baselines and we find that support vector machines are able to achieve the best performance out of the machine learning algorithms evaluated. (E.  ...  of DBpedia (or the LOD cloud in general).  ... 
doi:10.1016/j.websem.2011.04.001 fatcat:cdi5zqbvgfdtnjkmmzuswuszsm

Feature-Based Point Cloud-Based Assessment of Heritage Structures for Nondestructive and Noncontact Surface Damage Detection

Richard L. Wood, Mohammad Ebrahim Mohammadi
2021 Heritage  
In this work, a damage detection method developed based on local geometric features is evaluated and expanded for crack detection within the example fresco walls of Sala degli Elementi in the Palazzo Vecchio  ...  One common deployment is laser scanners or ground-based lidar scanners that produce a point cloud containing information at the centimeter to the millimeter level.  ...  In addition, the funders had no role in the design of the study, in the collection, analyses, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/heritage4020043 doaj:e16fee4fdc914e15890698e004151d85 fatcat:gpmbkzrqnrhcfgi27s7555osmy

The Quantized kd-Tree: Efficient Ray Tracing of Compressed Point Clouds

Erik Hubo, Tom Mertens, Tom Haber, Philippe Bekaert
2006 2006 IEEE Symposium on Interactive Ray Tracing  
Moreover, the technique can also be employed to provide LOD (Level-Of-Detail) to reduce aliasing problems, with little additional storage cost.  ...  The gist of our new representation lies in quantizing the kd-tree splitting plane coordinates.  ...  Part of the research at the Expertise Centre for Digital Media is funded by the ERDF (European Regional Development Fund), the Flemish Government and the Flemish Interdisciplinary institute for Broadband  ... 
doi:10.1109/rt.2006.280221 fatcat:4lxblvcrura7jkmn7jwb4p54qe
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