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Paniz Abedin, Arnab Ganguly, Solon P. Pissis and Sharma V. Thankachan
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Shengnan Guo and Jianqiu Xu
Predicting query cost plays an important role in moving object databases. Accurate predictions help database administrators effectively schedule workloads and achieve optimal resource allocation strategies. There are some works focusing on query cost pre...
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Rong Yang and Baoning Niu
Continuous k nearest neighbor queries over spatial?textual data streams (abbreviated as CkQST) are the core operations of numerous location-based publish/subscribe systems. Such a system is usually subscribed with millions of CkQST and evaluated simultan...
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Pornrawee Tatit, Kiki Adhinugraha and David Taniar
Using spatial data in mobile applications has grown significantly, thereby empowering users to explore locations, navigate unfamiliar areas, find transportation routes, employ geomarketing strategies, and model environmental factors. Spatial databases ar...
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Hong Liu, Jining Yan, Jinlin Wang, Bo Chen, Meng Chen and Xiaohui Huang
In recent years, with the widespread use of location-aware handheld devices and the development of wireless networks, trajectory data have shown a trend of rapid growth in data volume and coverage, which has led to the prosperous development of location-...
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Yan Yan, Zichao Sun, Adnan Mahmood, Fei Xu, Zhuoyue Dong and Quan Z. Sheng
Statistical partitioning and publishing is commonly used in location-based big data services to address queries such as the number of points of interest, available vehicles, traffic flows, infected patients, etc., within a certain range. Adding noise per...
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Xiangfu Meng, Lin Zhu, Qing Li and Xiaoyan Zhang
Resource Description Framework (RDF), as a standard metadata description framework proposed by the World Wide Web Consortium (W3C), is suitable for modeling and querying Web data. With the growing importance of RDF data in Web data management, there is a...
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Frederick Petry and Ronald Yager
This paper considers approaches to the computation of association rules for intuitionistic fuzzy data. Association rules can provide guidance for assessing the significant relationships that can be determined while analyzing data. The approach uses the c...
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Sarah Pilz, Florian Porrmann, Martin Kaiser, Jens Hagemeyer, James M. Hogan and Ulrich Rückert
This paper is concerned with Field Programmable Gate Arrays (FPGA)-based systems for energy-efficient high-throughput string comparison. Modern applications which involve comparisons across large data sets?such as large sequence sets in molecular biology...
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Md Saiful Islam and Fei Liu
In the realm of artificial intelligence, knowledge graphs have become an effective area of research. Relationships between entities are depicted through a structural framework in knowledge graphs. In this paper, we propose to build a domain-specific medi...
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Sami El-Mahgary, Juho-Pekka Virtanen and Hannu Hyyppä
The importance of being able to separate the semantics from the actual (X,Y,Z) coordinates in a point cloud has been actively brought up in recent research. However, there is still no widely used or accepted data layout paradigm on how to efficiently sto...
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Shaimaa Haridy, Rasha M. Ismail, Nagwa Badr and Mohamed Hashem
Ontologies provide a powerful method for representing, reusing, and sharing domain knowledge. They are extensively used in a wide range of disciplines, including artificial intelligence, knowledge engineering, biomedical informatics, and many more. For s...
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Sudheesh R, Muhammad Mujahid, Furqan Rustam, Rahman Shafique, Venkata Chunduri, Mónica Gracia Villar, Julién Brito Ballester, Isabel de la Torre Diez and Imran Ashraf
Chatbots are AI-powered programs designed to replicate human conversation. They are capable of performing a wide range of tasks, including answering questions, offering directions, controlling smart home thermostats, and playing music, among other functi...
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Isam Mashhour Al Jawarneh, Luca Foschini and Paolo Bellavista
Numerous real-life smart city application scenarios require joint analytics on unified views of georeferenced mobility data with environment contextual data including pollution and meteorological data. particularly, future urban planning requires restric...
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Imene Bareche and Ying Xia
The magnitude of highly dynamic spatial data is expanding rapidly due to the instantaneous evolution of mobile technology, resulting in challenges for continuous queries. We propose a novel indexing approach model, namely, the Velocity SpatioTemporal ind...
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Yun Li, Yongyao Jiang, Justin C. Goldstein, Lewis J. Mcgibbney and Chaowei Yang
One longstanding complication with Earth data discovery involves understanding a user?s search intent from the input query. Most of the geospatial data portals use keyword-based match to search data. Little attention has focused on the spatial and tempor...
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Alberto Belussi, Sara Migliorini and Ahmed Eldawy
In recent years, several extensions of the Hadoop system have been proposed for dealing with spatial data. SpatialHadoop belongs to this group of projects and includes some MapReduce implementations of spatial operators, like range queries and spatial jo...
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Maria Rosaria Guarini, Fabrizio Battisti and Anthea Chiovitti
In Europe, the operating context in which initiatives of settlement transformation are currently initiated is characterized by a complex, elaborate combination of technical, regulatory and governance-related factors. A similar set of considerations makes...
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Siobhán Clarke,Gillian Wylie,Hans Zomer
Pág. pp. 55 - 70 pgs.
Since the year 2000, the Millennium Development Goals (MDGs) have anchored efforts to combat global poverty. As we near 2015, this article assesses ICTs? role in reaching the goals, with an emphasis on urban poverty. Over the lifespan of the MDGs, debate...
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Daniel Yang, Arya Goutam, Kevin Ji and TJ Tsai
This paper studies the problem of identifying piano music in various modalities using a single, unified approach called marketplace fingerprinting. The key defining characteristic of marketplace fingerprinting is choice: we consider a broad range of fing...
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