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Journal articles on the topic 'Geographic Information Retrieval'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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1

Purves, Ross, and Christopher Jones. "Geographic Information Retrieval." SIGSPATIAL Special 3, no. 2 (July 2011): 2–4. http://dx.doi.org/10.1145/2047296.2047297.

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2

Cardoso, Nuno. "Evaluating Geographic Information Retrieval." SIGSPATIAL Special 3, no. 2 (July 2011): 46–53. http://dx.doi.org/10.1145/2047296.2047307.

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Purves, Ross, and Chris Jones. "Geographic Information Retrieval (GIR)." Computers, Environment and Urban Systems 30, no. 4 (July 2006): 375–77. http://dx.doi.org/10.1016/j.compenvurbsys.2005.12.001.

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4

Ahlers, Dirk. "Applying Geographic Information Retrieval." Datenbank-Spektrum 14, no. 1 (January 22, 2014): 39–46. http://dx.doi.org/10.1007/s13222-014-0148-z.

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5

TODA, Hiroyuki, Norihito YASUDA, Manabu OKUMURA, Yumiko MATSUURA, and Ryoji KATAOKA. "Snippet Generation for Geographic Information Retrieval." Transactions of the Japanese Society for Artificial Intelligence 24 (2009): 494–506. http://dx.doi.org/10.1527/tjsai.24.494.

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6

Lutz, M., and E. Klien. "Ontology‐based retrieval of geographic information." International Journal of Geographical Information Science 20, no. 3 (March 2006): 233–60. http://dx.doi.org/10.1080/13658810500287107.

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7

Schockaert, Steven. "Vague regions in Geographic Information Retrieval." SIGSPATIAL Special 3, no. 2 (July 2011): 24–28. http://dx.doi.org/10.1145/2047296.2047302.

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YASUDA, Norihito, and Hiroyuki TODA. "Geographic Information Retrieval for Just Your Surroundings." Transactions of the Japanese Society for Artificial Intelligence 23 (2008): 364–73. http://dx.doi.org/10.1527/tjsai.23.364.

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9

Leveling, Johannes, and Sven Hartrumpf. "On metonymy recognition for geographic information retrieval." International Journal of Geographical Information Science 22, no. 3 (March 2008): 289–99. http://dx.doi.org/10.1080/13658810701626244.

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10

Purves, Ross, and Chris Jones. "Workshop on geographic information retrieval, SIGIR 2004." ACM SIGIR Forum 38, no. 2 (December 2004): 53–56. http://dx.doi.org/10.1145/1041394.1041406.

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Johnson, David, and Myke Gluck. "Geographic Information Retrieval and the World Wide Web: A Match Made in Electronic Space." Cartographic Perspectives, no. 26 (March 1, 1997): 13–26. http://dx.doi.org/10.14714/cp26.717.

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This article looks at the access to geographic information through a review of information science theory and its application to the WWW. The two most common retrieval systems are information and data retrieval. A retrieval system has seven elements: retrieval models, indexing, match and retrieval, relevance, order, query languages and query specification. The goal of information retrieval is to match the user's needs to the information that is in the system. Retrieval of geographic information is a combination of both information and data retrieval. Aids to effective retrieval of geographic i

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Palacio, Damien, Guillaume Cabanac, Christian Sallaberry, and Gilles Hubert. "On the evaluation of Geographic Information Retrieval systems." International Journal on Digital Libraries 11, no. 2 (June 2010): 91–109. http://dx.doi.org/10.1007/s00799-011-0070-z.

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13

de Andrade, Fabio Gomes, Cláudio de Souza Baptista, and Clodoveu Augusto Davis. "Improving geographic information retrieval in spatial data infrastructures." GeoInformatica 18, no. 4 (January 19, 2014): 793–818. http://dx.doi.org/10.1007/s10707-014-0202-x.

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Bordogna, Gloria, Giorgio Ghisalberti, and Giuseppe Psaila. "Geographic information retrieval: Modeling uncertainty of user's context." Fuzzy Sets and Systems 196 (June 2012): 105–24. http://dx.doi.org/10.1016/j.fss.2011.04.005.

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15

Tulowiecki, Stephen J. "Information retrieval in physical geography." Progress in Physical Geography: Earth and Environment 42, no. 3 (April 29, 2018): 369–90. http://dx.doi.org/10.1177/0309133318770972.

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Information retrieval (IR) methods seek to locate meaningful documents in large collections of textual and other data. Few studies apply these techniques to discover descriptions in historical documents for physical geography applications. This absence is noteworthy given the use of qualitative historical descriptions in physical geography and the amount of historical documentation online. This study, therefore, introduces an IR approach for finding meaningful and geographically resolved historical descriptions in large digital collections of historical documents. Presenting a biogeography app

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16

Smits, Jan. "Can a Map Be a Geographic Information Retrieval Tool?" LIBER Quarterly 10, no. 4 (July 14, 2000): 504. http://dx.doi.org/10.18352/lq.7622.

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Purves, Ross, and Chris Jones. "Workshop on geographic information retrieval held at SIGIR'06." ACM SIGIR Forum 40, no. 2 (December 2006): 40–41. http://dx.doi.org/10.1145/1189702.1189708.

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18

van Kreveld, Marc, Iris Reinbacher, Avi Arampatzis, and Roelof van Zwol. "Multi-Dimensional Scattered Ranking Methods for Geographic Information Retrieval*." GeoInformatica 9, no. 1 (March 2005): 61–84. http://dx.doi.org/10.1007/s10707-004-5622-6.

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19

Han, Z., C. Cui, Y. Kong, and H. Wu. "Geographic Video 3d Data Model And Retrieval." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4 (April 23, 2014): 75–80. http://dx.doi.org/10.5194/isprsarchives-xl-4-75-2014.

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Geographic video includes both spatial and temporal geographic features acquired through ground-based or non-ground-based cameras. With the popularity of video capture devices such as smartphones, the volume of user-generated geographic video clips has grown significantly and the trend of this growth is quickly accelerating. Such a massive and increasing volume poses a major challenge to efficient video management and query. Most of the today’s video management and query techniques are based on signal level content extraction. They are not able to fully utilize the geographic information of th

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Ashwaq Maghraby, Ashwaq Maghraby. "Geographic Information System Based on Mobile Agent and Ontology." journal of King Abdulaziz University Engineering Sciences 23, no. 1 (January 8, 2012): 39–57. http://dx.doi.org/10.4197/eng.23-1.3.

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A Geographic Information System (GIS) is an important distributed information resource. GIS technology is being utilized in many areas of research. Based on the concept of agent, we introduce a multi-agent architecture to develop a GIS Multi-Agent System based on Ontology (GISMAO) that enables cooperation to assist different users to locate and retrieve spatial GIS file information in large networks based on ontological relationship between GIS concepts. GISMAO consists of two subsystems: Gathering subsystem; and Query subsystem. The Gathering Sub-System is used to collect spatial GIS files in

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21

Zeniarja, Junta, Ardytha Luthfiarta, and Catur Supriyanto. "Naive Bayes Classifier Based Geographic Information System for University Search Information." Journal of Applied Intelligent System 2, no. 2 (August 3, 2018): 73–79. http://dx.doi.org/10.33633/jais.v2i2.1587.

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Information about the geographical location of universities is necessary for graduates of Senior High School who want to continue their education to a university. Most of the graduate students do not know the location of the universities since the geographical location of Google Maps is less clear and less precise. Therefore, the application of Geographic Information Systems (GIS) based on Information Retrieval (IR) is expected to facilitate the graduate students to know the exact location of the university. In this paper, IR-based GIS application is developed by using web programming. The web

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22

Fang, Caili, and Shuliang Zhang. "Geographic Information Retrieval Method for Geography Mark-Up Language Data." ISPRS International Journal of Geo-Information 7, no. 3 (March 9, 2018): 89. http://dx.doi.org/10.3390/ijgi7030089.

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23

Purificato, Erasmo, and Antonio M. Rinaldi. "Multimedia and geographic data integration for cultural heritage information retrieval." Multimedia Tools and Applications 77, no. 20 (April 3, 2018): 27447–69. http://dx.doi.org/10.1007/s11042-018-5931-7.

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Han, Zhigang, Caihui Cui, Yunfeng Kong, Fen Qin, and Pinde Fu. "Video Data Model and Retrieval Service Framework Using Geographic Information." Transactions in GIS 20, no. 5 (December 28, 2015): 701–17. http://dx.doi.org/10.1111/tgis.12175.

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Moura, Tiago H. V. M., Clodoveu A. Davis, and Frederico T. Fonseca. "Reference data enhancement for geographic information retrieval using linked data." Transactions in GIS 21, no. 4 (November 2, 2016): 683–700. http://dx.doi.org/10.1111/tgis.12238.

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26

Wu, Hua, and Wangmin Ying. "Benchmarking Machine Learning Algorithms for Instantaneous Net Surface Shortwave Radiation Retrieval Using Remote Sensing Data." Remote Sensing 11, no. 21 (October 28, 2019): 2520. http://dx.doi.org/10.3390/rs11212520.

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Net surface shortwave radiation (NSSR) is one of the most important fundamental parameters in various land processes. Benefiting from its efficient nonlinear fitting ability, machine learning algorithms have a great potential in the retrieval of NSSR. However, few studies have explored the level of accuracy that machine learning algorithms can reach for different land covers on the worldwide scale and what the optimal independent variables are in the machine learning-based NSSR model. To guide the use of machine learning algorithms correctly in the retrieval of NSSR, it is necessary to give a

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27

Sun, Xia, Li, Shen, and Liu. "A Semantic Expansion Model for VGI Retrieval." ISPRS International Journal of Geo-Information 8, no. 12 (December 17, 2019): 589. http://dx.doi.org/10.3390/ijgi8120589.

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OpenStreetMap (OSM) is a representative volunteered geographic information (VGI) project. However, there have been difficulties in retrieving spatial information from OSM. Ontology is an effective knowledge organization and representation method that is often used to enrich the search capabilities of search systems. This paper constructed an OSM ontology model with semantic property items. A query expansion method is also proposed based on the similarity of properties of the ontology model. Moreover, a relevant experiment is conducted using OSM data related to China. The experimental results d

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28

Tsou, Ming-Cheng. "Geographic Information Retrieval and Text Mining on Chinese Tourism Web Pages." International Journal of Information Technology and Web Engineering 5, no. 1 (January 2010): 56–75. http://dx.doi.org/10.4018/jitwe.2010010104.

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The World Wide Web (WWW) offers an enormous wealth of information and data, and assembles a tremendous amount of knowledge. Much of this knowledge, however, comprises either non-structured data or semistructured data. To make use of these unexploited or underexploited resources more efficiently, the management of information and data gathering has become an essential task for research and development. In this paper, the author examines the task of researching a hostel or homestay using the Google search web service as a base search engine. From the search results, mining, retrieving and sortin

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29

Purves, Ross S., Paul Clough, Christopher B. Jones, Mark H. Hall, and Vanessa Murdock. "Geographic Information Retrieval: Progress and Challenges in Spatial Search of Text." Foundations and Trends® in Information Retrieval 12, no. 2-3 (2018): 164–318. http://dx.doi.org/10.1561/1500000034.

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30

Řezník, Tomáš. "Geographic information in the age of the INSPIRE Directive: discovery, download and use for geographical research." Geografie 118, no. 1 (2013): 77–93. http://dx.doi.org/10.37040/geografie2013118010077.

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This article describes the concept and impacts of dealing with geographic information according to the Directive on INfrastructure for SPatial InfoRmation in Europe: INSPIRE. A brief introduction contains the scope and aims of this infrastructure and is supported by a section on legislative background at both the European and Czech levels. All components of the European infrastructure are analysed sequentially, i.e. starting with metadata, network services, data sharing, monitoring and reporting. The main focus of the article is aimed at the issues of geographic data interoperability and harmo

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31

Brisaboa, Nieves R., Miguel R. Luaces, Ángeles S. Places, and Diego Seco. "Exploiting geographic references of documents in a geographical information retrieval system using an ontology-based index." GeoInformatica 14, no. 3 (January 30, 2010): 307–31. http://dx.doi.org/10.1007/s10707-010-0106-3.

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32

De Sabbata, Stefano, Stefano Mizzaro, and Tumasch Reichenbacher. "Geographic dimensions of relevance." Journal of Documentation 71, no. 4 (July 13, 2015): 650–66. http://dx.doi.org/10.1108/jd-12-2013-0167.

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Purpose – The purpose of this paper is to discuss the emerging geographic features of current concepts of relevance, and to improve, modify, and extend the framework proposed by Mizzaro (1998). The objective is to define a new framework able to account, more completely and precisely, for the notions of relevance involved in mobile information seeking scenarios. Design/methodology/approach – The authors formalise two new dimensions of relevance. The first dimension emphasises the spatio-temporal nature of the information seeking process. The second dimension allows us to describe how different

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33

Hepburn, Peter, and Joan B. Fiscella. "Constructing Descriptive Records for an Art Image Database: What Do Use Statistics Tell Us?" College & Research Libraries 67, no. 4 (July 1, 2006): 334–53. http://dx.doi.org/10.5860/crl.67.4.334.

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The study compares three sample sets of records taken from the AMICO database to examine possible factors influencing retrieval of images: named artist and artist reputation, word count, and record richness. The authors found that images of works by renowned artists tended to show high numbers of retrievals. When works depicted were by relatively unknown or anonymous artists, more retrievals were likely if accompanying records included higher unique word counts. The frequency of first occurrences of name, geographic, and time terms in the records showed no major differences among the three set

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34

Mata-Rivera, Felix, Miguel Torres-Ruiz, Giovanni Guzmán, Marco Moreno-Ibarra, and Rolando Quintero. "A collaborative learning approach for geographic information retrieval based on social networks." Computers in Human Behavior 51 (October 2015): 829–42. http://dx.doi.org/10.1016/j.chb.2014.11.069.

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35

Jiang, J. W., J. W. Li, J. S. Wei, and Z. P. Su. "INTELLIGENT SERVICE PUSH METHOD BASED ON ACTIVE GEOGRAPHIC PERCEPTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (February 7, 2020): 245–48. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-245-2020.

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Abstract. In view of the lack of consideration of user behavior motives in traditional personalized precision service systems, the accuracy of service content is not high.In order to solve this problem, research on personalized accurate service push method based on active geographic perception. By constructing a geographic feature information model, get the characteristics of the user's destination in real time, and then infer the user's behavioral motivation. Focusing on active geographic awareness technology and personalized precision service methods, the concept, principle, process and key

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36

Chen, Hsinchun, Terence R. Smith, Mary L. Larsgaard, Linda L. Hill, and Marshall Ramsey. "A geographic knowledge representation system for multimedia geospatial retrieval and analysis." International Journal on Digital Libraries 1, no. 2 (September 1997): 132–52. http://dx.doi.org/10.1007/s007990050010.

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37

Abdelmoty, Alia I., Philip D. Smart, Christopher B. Jones, Gaihua Fu, and David Finch. "A critical evaluation of ontology languages for geographic information retrieval on the Internet." Journal of Visual Languages & Computing 16, no. 4 (August 2005): 331–58. http://dx.doi.org/10.1016/j.jvlc.2004.11.001.

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38

Lee, Seok-Cheol, and Chang-Soo Kim. "Development of User Oriented Geographic Information Retrieval Service Module Based on Personalized Service." Journal of the Korean Association of Geographic Information Studies 14, no. 1 (March 31, 2011): 49–58. http://dx.doi.org/10.11108/kagis.2011.14.1.049.

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39

Mountain, David, and Andrew MacFarlane. "Geographic information retrieval in a mobile environment: evaluating the needs of mobile individuals." Journal of Information Science 33, no. 5 (April 10, 2007): 515–30. http://dx.doi.org/10.1177/0165551506075333.

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40

Koswatte, Saman, Kevin McDougall, and Xiaoye Liu. "Relevance Assessment of Crowdsourced Data (CSD) Using Semantics and Geographic Information Retrieval (GIR) Techniques." ISPRS International Journal of Geo-Information 7, no. 7 (June 29, 2018): 256. http://dx.doi.org/10.3390/ijgi7070256.

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41

Gao, Yong, Dan Jiang, Xiang Zhong, and Jingyi Yu. "A Point-Set-Based Footprint Model and Spatial Ranking Method for Geographic Information Retrieval." ISPRS International Journal of Geo-Information 5, no. 7 (July 15, 2016): 122. http://dx.doi.org/10.3390/ijgi5070122.

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42

Brown, Ian. "Developing a Virtual Reality User Interface (VRUI) for Geographic Information Retrieval on the Internet." Transactions in GIS 3, no. 3 (June 1999): 207–20. http://dx.doi.org/10.1111/1467-9671.00018.

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43

Adab, Hamed, Renato Morbidelli, Carla Saltalippi, Mahmoud Moradian, and Gholam Abbas Fallah Ghalhari. "Machine Learning to Estimate Surface Soil Moisture from Remote Sensing Data." Water 12, no. 11 (November 17, 2020): 3223. http://dx.doi.org/10.3390/w12113223.

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Soil moisture is an integral quantity parameter in hydrology and agriculture practices. Satellite remote sensing has been widely applied to estimate surface soil moisture. However, it is still a challenge to retrieve surface soil moisture content (SMC) data in the heterogeneous catchment at high spatial resolution. Therefore, it is necessary to improve the retrieval of SMC from remote sensing data, which is important in the planning and efficient use of land resources. Many methods based on satellite-derived vegetation indices have already been developed to estimate SMC in various climatic and

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44

Chen, Shuang Yu, Hai Hui Wang, Yun Lun Xiang, and Qing Chen. "Research on Information Retrieval System of Typhoon Based on ArcGIS Server." Applied Mechanics and Materials 668-669 (October 2014): 1297–305. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.1297.

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At the information age, the traditional GIS has already can't satisfy people's demand for real-time access to geographic information, such as typhoon weather phenomenon change at any time. Based on ArcGIS Server platform and Java technology, the typhoon information query system of B/S architecture has been designed. The system can complete the space mapping service release and attribute information query, spatial orientation, motion path of dynamic display, for the typhoon weather forecasters and the public provide real-time access information query platform. At the same time, aiming at common

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45

Ng, S. M. Y., O. W. H. Wai, Y. S. Li, Z. H. Xu, H. L. Chen, and Z. L. Li. "Development of a GIS for managing dynamic, 3D coastal information of Pearl River Estuary." Journal of Hydroinformatics 9, no. 3 (July 1, 2007): 215–32. http://dx.doi.org/10.2166/hydro.2007.021.

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A geographic information system (GIS) was developed for retrieval and display of hydrodynamic and water quality data. To establish such a system, two of the most important challenges are: (1) to establish a rigorous model which captures the three-dimensional and continuously changing characteristics of marine data and (2) to develop interpolation techniques to accommodate for the temporally and spatially scattered distribution of collected data. The developed system not only bridges together a GIS and a database of various physical, chemical and biological geographically based data for efficie

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46

Ayiku, Lynda, and Amy Finnegan. "OP23 Smart Searches For Context-Sensitive Topics: Geographic Search Filters." International Journal of Technology Assessment in Health Care 35, S1 (2019): 5. http://dx.doi.org/10.1017/s0266462319000953.

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IntroductionSome systematic review topics are context-sensitive and informed by evidence about a specific geographic setting. Smart information retrieval methods are required to identify such evidence in an efficient manner. This presentation will discuss how validated geographic search filters enable smart literature searching for context-sensitive reviews using the National Institute for Health and Care Excellence (NICE) United Kingdom (UK) filters for MEDLINE and Embase (OVID) as examples. The NICE UK filters were developed in 2016. The filters demonstrated high recall and high precision, h

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47

Nys, G. A., J. P. Kasprzyk, P. Hallot, and R. Billen. "A SEMANTIC RETRIEVAL SYSTEM IN REMOTE SENSING WEB PLATFORMS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 5, 2019): 1593–99. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-1593-2019.

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<p><strong>Abstract.</strong> This paper proposes a solution to reduce the semantic gap between final users and data/processing providers in a web market place dedicated to remote sensing products. Nowadays, search engine are common tools on the Internet. Users are accustomed to use them and used to get tabular classification of provided answers. These smart agents are set up to answer basic questions using automatic pages redirection or chitchat. In this research, to ensure coherence between user’s requests and platform answers, natural language processing algorithms and kno

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48

Bruggmann, André, Sara I. Fabrikant, and Ross S. Purves. "How Can Geographic Information in Text Documents be Visualized to Support Information Exploration in the Humanities?" International Journal of Humanities and Arts Computing 14, no. 1-2 (March 2020): 98–118. http://dx.doi.org/10.3366/ijhac.2020.0247.

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Finding and selecting interesting and relevant information in large online digital text archives can be challenging. We tackle this information access problem from a geographic information science perspective using a case study exploring a semi-structured historical encyclopedia. We propose a three-pronged approach for this, based around (1) automatic retrieval of spatio-temporal and thematic information from digital text documents; (2) transformation of the extracted information to spatialize and visualize spatio-temporal and thematic structures; and (3) integration of the spatialized display

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49

Siabato, Willington, Javier Moya-Honduvilla, and Miguel Ángel Bernabé-Poveda. "Supporting Aeronautical Information Management (AIM) Through Geographic Information Technologies and Spatial Data Infrastructures (SDI)." International Journal of Applied Geospatial Research 7, no. 3 (July 2016): 1–37. http://dx.doi.org/10.4018/ijagr.2016070101.

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The way aeronautical information is managed and disseminated must be modernized. Current aeronautical information services (AIS) methods for storing, publishing, disseminating, querying, and updating the volume of data required for the effective management of air traffic control have become obsolete. This does not contribute to preventing airspace congestion, which turns into a limiting factor for economic growth and generates negative effects on the environment. Owing to this, some work plans for improving AIS and air traffic flow focus on data and services interoperability to allow an effici

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50

VAN KREVELD, MARC, and IRIS REINBACHER. "GOOD NEWS: PARTITIONING A SIMPLE POLYGON BY COMPASS DIRECTIONS." International Journal of Computational Geometry & Applications 14, no. 04n05 (October 2004): 233–59. http://dx.doi.org/10.1142/s0218195904001469.

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Motivated by geographic information retrieval, we study the problem of partitioning a simple polygon into four parts that can be considered as the North, East, West, and South. We list criteria for such partitionings, propose formalizations into geometric problems, and give efficient algorithms. An implementation and tests on country outlines show the results for three different partitionings.

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