Search Results - "BERTOLOTTO, Michela"

Octree-based region growing for point cloud segmentation by Vo, Anh-Vu, Truong-Hong, Linh, Laefer, Debra F., Bertolotto, Michela

“…This paper introduces a novel, region-growing algorithm for the fast surface patch segmentation of three-dimensional point clouds of urban environments. The…”
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Virtual reality for collaborative e-learning by Monahan, Teresa, McArdle, Gavin, Bertolotto, Michela

“…In the past, the term e-learning referred to any method of learning that used electronic delivery methods. With the advent of the Internet however, e-learning…”
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Volunteered and crowdsourced geographic information: the OpenStreetMap project by Bertolotto, Michela, McArdle, Gavin, Schoen-Phelan, Bianca

“…Advancements in technology over the last two decades have changed how spatial data are created and used. In particular, in the last decade, volunteered…”
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Enhancing Semantic Web Technologies Using Lexical Auditing Techniques for Quality Assurance of Biomedical Ontologies by Burse, Rashmi, Bertolotto, Michela, McArdle, Gavin

“…Semantic web technologies (SWT) represent data in a format that is easier for machines to understand. Validating the knowledge in data graphs created using SWT…”
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Leveraging Road Characteristics and Contributor Behaviour for Assessing Road Type Quality in OSM by Alghanim, Amerah, Jilani, Musfira, Bertolotto, Michela, McArdle, Gavin

“…Volunteered Geographic Information (VGI) is often collected by non-expert users. This raises concerns about the quality and veracity of such data. There has…”
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Exploring Budgeted Learning for Data-Driven Semantic Inference via Urban Functions by Iddianozie, Chidubem, Bertolotto, Michela, Mcardle, Gavin

“…The performance of a machine learning algorithm is dependent on the quality of the available data for model development. However, in practical situations, the…”
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Scalability and Performance of LiDAR Point Cloud Data Management Systems: A State-of-the-Art Review by Lokugam Hewage, Chamin Nalinda, Laefer, Debra F., Vo, Anh-Vu, Le-Khac, Nhien-An, Bertolotto, Michela

“…Current state-of-the-art point cloud data management (PCDM) systems rely on a variety of parallel architectures and diverse data models. The main objective of…”
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LAMSkyCam: A low-cost and miniature ground-based sky camera by Jain, Mayank, Sengar, Vishal Singh, Gollini, Isabella, Bertolotto, Michela, McArdle, Gavin, Dev, Soumyabrata

“…[Display omitted] Ground-based sky imagers (GSIs) are increasingly becoming popular amongst the remote sensing analysts. This is because such imagers offer…”
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A Map-Based Recommendation System and House Price Prediction Model for Real Estate by Mubarak, Maryam, Tahir, Ali, Waqar, Fizza, Haneef, Ibraheem, McArdle, Gavin, Bertolotto, Michela, Saeed, Muhammad Tariq

“…In 2015, global real estate was worth $217 trillion, which is approximately 2.7 times the global GDP; it also accounts for roughly 60% of all conventional…”
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The Drive towards Consensual Perspectives for Enhancing Sustainable Mining by Moomen, Abdul-Wadood, Lacroix, Pierre, Bertolotto, Michela, Jensen, David

“…This paper investigates key innovative paradigms that seek enhanced consensus building on the sustainable mining agenda of the mineral resource development…”
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Assessing the application of three-dimensional collaborative technologies within an e-learning environment by McArdle, Gavin, Bertolotto, Michela

“…Today, the Internet plays a major role in distributing learning material within third level education. Multiple online facilities provide access to educational…”
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A Structural-Lexical Measure of Semantic Similarity for Geo-Knowledge Graphs by Ballatore, Andrea, Bertolotto, Michela, Wilson, David C

“…Graphs have become ubiquitous structures to encode geographic knowledge online. The Semantic Web's linked open data, folksonomies, wiki websites and open…”
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OGC-to-W3C Services: A Wrapper-Based Solution for Geospatial Metadata Exchange by Giovanni, Pasquale, Bertolotto, Michela, Sebillo, Monica, Vitiello, Giuliana

“…When trying to compose services that are developed according to different standards, interoperability issues arise that are often faced by developing ad-hoc…”
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Linear street extraction using a Conditional Random Field model by Corcoran, Padraig, Mooney, Peter, Bertolotto, Michela

“…A novel method for extracting linear streets from a street network is proposed where a linear street is defined as a sequence of connected street segments…”
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The semantic similarity ensemble by Ballatore, Andrea, Bertolotto, Michela, Wilson, David C.

“…Computational measures of semantic similarity between geographic terms provide valuable support across geographic information retrieval, data mining, and…”
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Spatial Relations Using High Level Concepts by Corcoran, Padraig, Mooney, Peter, Bertolotto, Michela

“…Existing models of spatial relations do not consider that different concepts exist on different levels in a hierarchy and in turn that the spatial relations in…”
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Targeting stopwords for quality assurance of SNOMED-CT by Burse, Rashmi, McArdle, Gavin, Bertolotto, Michela

“…OBJECTIVEWe assess the potential of exploiting stopwords in biomedical concept names to complete the logical definitions of concepts that are not sufficiently…”
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Geographic knowledge extraction and semantic similarity in OpenStreetMap by Ballatore, Andrea, Bertolotto, Michela, Wilson, David C.

“…In recent years, a web phenomenon known as Volunteered Geographic Information (VGI) has produced large crowdsourced geographic data sets. OpenStreetMap (OSM),…”
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Inadequate adaptation of geospatial information for sustainable mining towards agenda 2030 sustainable development goals by Moomen, Abdul-Wadood, Bertolotto, Michela, Lacroix, Pierre, Jensen, David

“…For all the evolutionary ages of mineral resource development, there have not been concerns about sustainable mining until the 21st century. Thus, this paper…”
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Analysing the growth of OpenStreetMap networks by Corcoran, Padraig, Mooney, Peter, Bertolotto, Michela

“…In this article we analyse the growth of OpenStreetMap (OSM) representations for three street networks in Ireland. In each case we demonstrate the growth to be…”
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