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Evaluating the quality of the LOD cloud: An empirical investigation
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
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
SMART POINT CLOUD: DEFINITION AND REMAINING CHALLENGES
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
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]
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]
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
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
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
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]
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
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]
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
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
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
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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