Relevant bibliographies by topics / Dynamic spatio-temporal queries

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Dynamic spatio-temporal queries'

Author: Grafiati
Published: 10 March 2023
Last updated: 19 July 2025

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Journal articles on the topic "Dynamic spatio-temporal queries"

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Feng, Bin, Qing Zhu, Mingwei Liu, et al. "An Efficient Graph-Based Spatio-Temporal Indexing Method for Task-Oriented Multi-Modal Scene Data Organization." ISPRS International Journal of Geo-Information 7, no. 9 (2018): 371. http://dx.doi.org/10.3390/ijgi7090371.

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Task-oriented scene data in big data and cloud environments of a smart city that must be time-critically processed are dynamic and associated with increasing complexities and heterogeneities. Existing hybrid tree-based external indexing methods are input/output (I/O)-intensive, query schema-fixed, and difficult when representing the complex relationships of real-time multi-modal scene data; specifically, queries are limited to a certain spatio-temporal range or a small number of selected attributes. This paper proposes a new spatio-temporal indexing method for task-oriented multi-modal scene d
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Lee, Seokjun, and Incheol Kim. "A Robotic Context Query-Processing Framework Based on Spatio-Temporal Context Ontology." Sensors 18, no. 10 (2018): 3336. http://dx.doi.org/10.3390/s18103336.

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Service robots operating in indoor environments should recognize dynamic changes from sensors, such as RGB-depth (RGB-D) cameras, and recall the past context. Therefore, we propose a context query-processing framework, comprising spatio-temporal robotic context query language (ST-RCQL) and a spatio-temporal robotic context query-processing system (ST-RCQP), for service robots. We designed them based on spatio-temporal context ontology. ST-RCQL can query not only the current context knowledge, but also the past. In addition, ST-RCQL includes a variety of time operators and time constants; thus,
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Xie, Jiong, Zhen Chen, Jianwei Liu, et al. "Ganos." Proceedings of the VLDB Endowment 15, no. 12 (2022): 3483–95. http://dx.doi.org/10.14778/3554821.3554838.

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Recently, the trend of developing digital twins for smart cities has driven a need for managing large-scale multidimensional, dynamic, and scene-oriented spatial data. Due to larger data scale and more complex data structure, queries over such data are more complicated and expensive than those on traditional spatial data, which poses challenges to the system efficiency and deployment costs. The existing spatial databases have limited support in both data types and operations. Therefore, a new-generation spatial database with excellent performance and effective deployment costs is needed. This
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Abburu, Sunitha. "GIS Based Interoperable Platform for Disaster Data Exchange Using OGC Standards and Spatial Query." International Journal of Web Portals 9, no. 1 (2017): 29–51. http://dx.doi.org/10.4018/ijwp.2017010103.

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Accurate, speedy and interoperable information exchange among the stakeholders achieve effective rescue and relief operations in an emergency. The current research work aims at location-based real time or near real time disaster data gathering and accumulation. The dynamic disaster data is integrated with the static geospatial data to facilitate spatial analytics and disseminate the integrated data through OGC web services to various stakeholders for further processing by different expert domain applications. The research work also facilitates spatio-temporal querying system through Geo-query,
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Sibolla, Bolelang H., Serena Coetzee, and Terence L. Van Zyl. "A Framework for Visual Analytics of Spatio-Temporal Sensor Observations from Data Streams." ISPRS International Journal of Geo-Information 7, no. 12 (2018): 475. http://dx.doi.org/10.3390/ijgi7120475.

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Sensor networks generate substantial amounts of frequently updated, highly dynamic data that are transmitted as packets in a data stream. The high frequency and continuous unbound nature of data streams leads to challenges when deriving knowledge from the underlying observations. This paper presents (1) a state of the art review into visual analytics of geospatial, spatio-temporal streaming data, and (2) proposes a framework based on the identified gaps from the review. The framework consists of (1) the data model that characterizes the sensor observation data, (2) the user model, which addres
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Eiter, Thomas, Ryutaro Ichise, Josiane Xavier Parreira, Patrik Schneider, and Lihua Zhao. "Deploying spatial-stream query answering in C-ITS scenarios1." Semantic Web 12, no. 1 (2020): 41–77. http://dx.doi.org/10.3233/sw-200408.

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Cooperative Intelligent Transport Systems (C-ITS) play an important role for providing the means to collect and exchange spatio-temporal data via V2X-based communication between vehicles and the infrastructure, which will become a central enabler for road safety of (semi)-autonomous vehicles. The Local Dynamic Map (LDM) is a key concept for integrating static and streamed data in a spatial context. The LDM has been semantically enhanced to allow for an elaborate domain model that is captured by a mobility ontology, and for queries over data streams that cater for semantic concepts and spatial
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Radoi, Anamaria, and Corneliu Burileanu. "Retrieval of Similar Evolution Patterns from Satellite Image Time Series." Applied Sciences 8, no. 12 (2018): 2435. http://dx.doi.org/10.3390/app8122435.

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Technological evolution in the remote sensing domain has allowed the acquisition of large archives of satellite image time series (SITS) for Earth Observation. In this context, the need to interpret Earth Observation image time series is continuously increasing and the extraction of information from these archives has become difficult without adequate tools. In this paper, we propose a fast and effective two-step technique for the retrieval of spatio-temporal patterns that are similar to a given query. The method is based on a query-by-example procedure whose inputs are evolution patterns prov
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Ray, Suprio, and Bradford Nickerson. "Temporally relevant parallel top-k spatial keyword search." Journal of Spatial Information Science, no. 24 (June 20, 2022): 115–56. http://dx.doi.org/10.5311/josis.2022.24.199.

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New spatio-textual indexing methods are needed to support efficient search and update of the massive amounts of spatially referenced text being generated. Location based services using geo-tagged documents provide valuable ranked recommendations about nearby restaurants, services, sales, emergency events, and visitor attractions. Consequently, top-k spatial keyword search queries (TkSKQ) have received a lot of attention from the research community. Several spatio-textual indexes have been proposed to efficiently support TkSKQ. Some of these indexes support updates based on live document stream
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Beard, Kate, Melissa Kimble, Jing Yuan, et al. "A Method for Heterogeneous Spatio-Temporal Data Integration in Support of Marine Aquaculture Site Selection." Journal of Marine Science and Engineering 8, no. 2 (2020): 96. http://dx.doi.org/10.3390/jmse8020096.

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Aquaculture site selection, like most site suitability analyses, requires the assembly and combination of multiple variables. Geographic information systems GIS and multi-criteria evaluation (MCE) based approaches are commonly used for aquaculture site selection and demonstrate the integration of various information sources relevant for siting aquaculture. These analyses, however, tend to be one-time and result in a fixed site suitability plan. Within a dynamic marine environment experiencing potential regime shifts, a siting support tool that integrates new and evolving spatio-temporal data h
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Kumar, Yogesh, Saswat Mallick, Anand Mishra, Sowmya Rasipuram, Anutosh Maitra, and Roshni Ramnani. "QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 3 (2024): 2831–39. http://dx.doi.org/10.1609/aaai.v38i3.28063.

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In this work, we study one-shot video object localization problem that aims to localize instances of unseen objects in the target video using a single query image of the object. Toward addressing this challenging problem, we extend a popular and successful object detection method, namely DETR (Detection Transformer), and introduce a novel approach –query-guided detection transformer for videos (QDETRv). A distinctive feature of QDETRv is its capacity to exploit information from the query image and spatio-temporal context of the target video, which significantly aids in precisely pinpointing th
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Dissertations / Theses on the topic "Dynamic spatio-temporal queries"

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Leone, Marco. "Efficient indexing and retrieval from large moving object databases through dynamic spatio-temporal queries." Doctoral thesis, Universita degli studi di Salerno, 2012. http://hdl.handle.net/10556/987.

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2010 - 2011<br>Intelligent Transportatin Systems have gained a great importance in the last decades given the growing need for security in many public environments, with particular attention for traffic scenarios, which are daily interested by accidents, traffic queues, highway code violations, driving in the wrong lane or on the wrong side, and so on. In the context of camera-based traffic analysis systems, in this thesis I will present a novel indexing scheme for the design of a system for the extraction, the storage and retrieval of moving objects' trajectories from surveillance cameras...
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Book chapters on the topic "Dynamic spatio-temporal queries"

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Ghosh, Shreya, and Jaydeep Das. "Dynamic Voltage and Frequency Scaling Approach for Processing Spatio-Temporal Queries in Mobile Environment." In Green Mobile Cloud Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08038-8_9.

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Abbassi, Kamel, and Tahar Ezzedine. "Queries Processing in Wireless Sensor Network." In Wireless Sensor Networks - Design, Deployment and Applications. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.94749.

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For the super-excellence applications used to control the water level in rivers, temperature handles a very large volume of information and does not stop constantly changing. These spatio-temporal data collected by a network of sensors form a set of thematic, integrated, non-volatile and historical data organized to help decision-making. Usually this process is performed with temporal, spatial and spatiotemporal queries. This in turn increases the execution time of the query load. In the literatures, several techniques have been identified such as materialized views (MV), indexes, fragmentation, scheduling, and buffer management. These techniques do not consider the update of the request load and the modification at the database level. In this chapter, we propose an optimal dynamic selection solution based on indexes and VMs. the solution is optimal when it meets the entire workload with a reasonable response time. The proposed approach supports modification at the database level and at the workload level to ensure the validity of the optimal solution for this the knapsack algorithm was used.
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Abburu, Sunitha. "GIS Based Interoperable Platform for Disaster Data Exchange Using OGC Standards and Spatial Query." In Emergency and Disaster Management. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-6195-8.ch031.

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Accurate, speedy and interoperable information exchange among the stakeholders achieve effective rescue and relief operations in an emergency. The current research work aims at location-based real time or near real time disaster data gathering and accumulation. The dynamic disaster data is integrated with the static geospatial data to facilitate spatial analytics and disseminate the integrated data through OGC web services to various stakeholders for further processing by different expert domain applications. The research work also facilitates spatio-temporal querying system through Geo-query, and OLAP operations on integrated disaster data with geospatial visualization. The design and implementation of the work is achieved through a mobile application integrated with a GIS based web portal by a centralized remote server. The entire architecture has been tested by implementing in an emergency situation and facilitated by an effective interoperable information exchange and spatio-temporal queries.
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Conference papers on the topic "Dynamic spatio-temporal queries"

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Conlan, Chris, Teddy Cunningham, and Hakan Ferhatosmanoglu. "Dynamic Spatio-temporal Access Queries using Semi-Supervised Regression." In 2023 IEEE 39th International Conference on Data Engineering Workshops (ICDEW). IEEE, 2023. http://dx.doi.org/10.1109/icdew58674.2023.00031.

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Mohamed, Mohamed M. Ali, and Ashfaq A. Khokhar. "Dynamic Indexing System for Spatio-temporal Queries in Wireless Sensor Networks." In 2011 12th IEEE International Conference on Mobile Data Management (MDM). IEEE, 2011. http://dx.doi.org/10.1109/mdm.2011.80.

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d'Acierno, Antonio, Marco Leone, Alessia Saggese, and Mario Vento. "A system for storing and retrieving huge amount of trajectory data, allowing spatio-temporal dynamic queries." In 2012 15th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2012). IEEE, 2012. http://dx.doi.org/10.1109/itsc.2012.6338684.

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