Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378658
Linghai Jiang, Ting Liu, Desheng Liu
With the rapid development of Web Services applications and the increasing popularity, there are numerous functionally similar Web Services available, which made the selection of the Web Services based on functional properties is insufficient. QoS is becoming an important criterion in selection for the best Web Services. In this paper, an objective and subjective QoS factors supported Web Service search method was proposed. The Objective-QoS factors were added by extending the WSDL documents, which should be offered by the service provider. The Subjective-QoS factors comes from users' perspective, represent the actual experiments of the service users. A prototype system was developed to implement both of Objective-QoS and Subjective-QoS factors.
{"title":"Objective and SUbjective QoS factors supported Web Service search method based on extended WSDL","authors":"Linghai Jiang, Ting Liu, Desheng Liu","doi":"10.1109/GEOINFORMATICS.2015.7378658","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378658","url":null,"abstract":"With the rapid development of Web Services applications and the increasing popularity, there are numerous functionally similar Web Services available, which made the selection of the Web Services based on functional properties is insufficient. QoS is becoming an important criterion in selection for the best Web Services. In this paper, an objective and subjective QoS factors supported Web Service search method was proposed. The Objective-QoS factors were added by extending the WSDL documents, which should be offered by the service provider. The Subjective-QoS factors comes from users' perspective, represent the actual experiments of the service users. A prototype system was developed to implement both of Objective-QoS and Subjective-QoS factors.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129322158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378637
Mo Wang, Juanle Wang
Science data sharing has many advantages for both scientific research and education. Knowing about behaviors of science data sharing participants is valuable to support informed decision making on data sharing policy and data sharing website design. Nowadays, data sharing is mainly carried through the Internet, and web usage mining provides an ideal approach to uncover user behaviors of data sharing. This paper presents a data preprocessing framework for further user behavior mining of a geoscience data sharing portal (geodata.cn). The preprocessing steps included data cleaning, user identification, session identification, and data modeling. Web server logs served as the major data source of this study. Heuristic algorithms were employed to accomplish data cleaning and user identification. Different session identification methods were applied for comparison. Users' geolocation were identified using an online Geo-IP lookup tool, which provides geographical coordinates of an IP address. On the basis of all the preprocessing procedures, a web usage data model of science data sharing portal were proposed for further user behavior mining, such as user classification and spatial association rules mining.
{"title":"A data preprocessing framework of geoscience data sharing portal for user behavior mining","authors":"Mo Wang, Juanle Wang","doi":"10.1109/GEOINFORMATICS.2015.7378637","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378637","url":null,"abstract":"Science data sharing has many advantages for both scientific research and education. Knowing about behaviors of science data sharing participants is valuable to support informed decision making on data sharing policy and data sharing website design. Nowadays, data sharing is mainly carried through the Internet, and web usage mining provides an ideal approach to uncover user behaviors of data sharing. This paper presents a data preprocessing framework for further user behavior mining of a geoscience data sharing portal (geodata.cn). The preprocessing steps included data cleaning, user identification, session identification, and data modeling. Web server logs served as the major data source of this study. Heuristic algorithms were employed to accomplish data cleaning and user identification. Different session identification methods were applied for comparison. Users' geolocation were identified using an online Geo-IP lookup tool, which provides geographical coordinates of an IP address. On the basis of all the preprocessing procedures, a web usage data model of science data sharing portal were proposed for further user behavior mining, such as user classification and spatial association rules mining.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116619193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378687
Sheeg Wu, Min Zhang, Qiaojia Huang, Yannan Zhang, Cheng Wan, Kaixuan Zhang, Jun Cao, Zhipeng Gui, K. Qin
Selecting satisfactory web service instances from massive providers is significant and also challenging, since multiple factors, snch as end users' qnality requirements and preferences, need to be considered in the selecting process. To partially address this issue, this paper introduces a sophisticated neb portal, which is designed for visualizing and exploring the service qnality of global OGC Web Map Services (WMS). The web portal allows end users to query and filter services through Interaction. To intuitively express and convey the information of retrieved services to nsers. multiple visualization methods are Integrated, Including lists, tables, charts and maps. Visualization controls snch as Map World, Dojo. and Highcharts are utilized to enhance nser interactivity and provide enriched expression of service quality. The monitoring results of 584 OGC services distributed globally are used as the data source, which Is coDected from 17 global monitoring sites. The monitored quality metric from both service level and layer level are recorded and displayed, including FGDC score, response time, availability, etc. The monitored data can be used to investigate the spaQotemporal characteristic of the service quality. User experiments prove that, by using the web portal, they can judge and distinguish services according to the quality intuitively. Challenges and future works are discussed to enlighten potential future research on the qnality of geographic information services (QoGIS), snch as usual evaluation.
{"title":"Design a web portal for visualizing and exploring service quality of global OGC Web Map Services","authors":"Sheeg Wu, Min Zhang, Qiaojia Huang, Yannan Zhang, Cheng Wan, Kaixuan Zhang, Jun Cao, Zhipeng Gui, K. Qin","doi":"10.1109/GEOINFORMATICS.2015.7378687","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378687","url":null,"abstract":"Selecting satisfactory web service instances from massive providers is significant and also challenging, since multiple factors, snch as end users' qnality requirements and preferences, need to be considered in the selecting process. To partially address this issue, this paper introduces a sophisticated neb portal, which is designed for visualizing and exploring the service qnality of global OGC Web Map Services (WMS). The web portal allows end users to query and filter services through Interaction. To intuitively express and convey the information of retrieved services to nsers. multiple visualization methods are Integrated, Including lists, tables, charts and maps. Visualization controls snch as Map World, Dojo. and Highcharts are utilized to enhance nser interactivity and provide enriched expression of service quality. The monitoring results of 584 OGC services distributed globally are used as the data source, which Is coDected from 17 global monitoring sites. The monitored quality metric from both service level and layer level are recorded and displayed, including FGDC score, response time, availability, etc. The monitored data can be used to investigate the spaQotemporal characteristic of the service quality. User experiments prove that, by using the web portal, they can judge and distinguish services according to the quality intuitively. Challenges and future works are discussed to enlighten potential future research on the qnality of geographic information services (QoGIS), snch as usual evaluation.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116672469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378624
Li Fang, Wenjie Wang, Chenfeng Liu, Zhuoyuan Yu
In this study, the Soil and Water Assessment Tool (SWAT) model was applied to simulate pollutant load of the TP and TN of Dongting Lake basin, considering point source and non-point source pollution. Comparison verification was made between water quality monitoring data from Shahekou, Hanshoupotou and Zhangshugang water monitoring stations and simulated results. Three assessment indicators, Re, R2, and E were used to evaluate the availability and suitability of the model. Spatial analysis by GIS revealed that TP and TN load was found to be concentrated in the nearby lake district that merged by sub-basins whose outlets were directly into the lake and the area covered 22 thousand KM2. The pollutant load of TP and TN in the nearby lake district accounts for 39.6% and 45.2%. Xiang River district was the second largest area which account for 13.9% and 12.5% of TP and TN respectively. Yuan River district burdened the least amount of the pollutant load. Contribution rate analysis showed that farmland runoff and aquaculture should be the key factors for pollution. Fertilizer of farmland runoff was the most critical contributor for TN load which account for 32.9% of the total amount, and aquaculture was the largest contributors for TP load account for 47.3%.
本研究采用SWAT (Soil and Water Assessment Tool)模型，在考虑点源和非点源污染的情况下，模拟洞庭湖流域总磷和总氮的污染物负荷。将沙河口、汉守坡头和张树港水质监测站的水质监测数据与模拟结果进行了对比验证。采用Re、R2和E三个评价指标评价模型的可用性和适宜性。GIS空间分析结果显示，总磷和总氮负荷主要集中在湖泊附近，该湖泊由出水口直接入湖的子流域合并而成，面积达2.2万KM2。附近湖区的TP和TN污染物负荷分别占39.6%和45.2%。湘江区是第二大区域，分别占总磷的13.9%和12.5%。沅江区污染物负荷量最小。贡献率分析表明，农田径流和水产养殖是造成污染的关键因素。农田径流肥料对TN负荷的贡献最大，占总负荷的32.9%，水产养殖对TP负荷的贡献最大，占47.3%。
{"title":"Pollution load simulation of Dongting Lake basin based on SWAT and GIS","authors":"Li Fang, Wenjie Wang, Chenfeng Liu, Zhuoyuan Yu","doi":"10.1109/GEOINFORMATICS.2015.7378624","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378624","url":null,"abstract":"In this study, the Soil and Water Assessment Tool (SWAT) model was applied to simulate pollutant load of the TP and TN of Dongting Lake basin, considering point source and non-point source pollution. Comparison verification was made between water quality monitoring data from Shahekou, Hanshoupotou and Zhangshugang water monitoring stations and simulated results. Three assessment indicators, Re, R2, and E were used to evaluate the availability and suitability of the model. Spatial analysis by GIS revealed that TP and TN load was found to be concentrated in the nearby lake district that merged by sub-basins whose outlets were directly into the lake and the area covered 22 thousand KM2. The pollutant load of TP and TN in the nearby lake district accounts for 39.6% and 45.2%. Xiang River district was the second largest area which account for 13.9% and 12.5% of TP and TN respectively. Yuan River district burdened the least amount of the pollutant load. Contribution rate analysis showed that farmland runoff and aquaculture should be the key factors for pollution. Fertilizer of farmland runoff was the most critical contributor for TN load which account for 32.9% of the total amount, and aquaculture was the largest contributors for TP load account for 47.3%.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121806189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378555
Juhua Hong, H. Luo, Guilin Wang
Map projection has a strong impact on an individual's global-scale cognition about the shape, layout, size, center, distance of the Earth's surface. Map projection is not just a technology issue, it is also a subjective strategic tactical of countries, so it is critical for countries' geopolitical environment and geo-strategic. Different map projections imply the geographical realities of international relationship, the strategic properties of the countries' geographical positions, that deeply impacts on China's geopolitical environment. China should pay attention to cartography and advocate the map projection in favor of itself.
{"title":"The impact of the map projection on China's geopolitical environment","authors":"Juhua Hong, H. Luo, Guilin Wang","doi":"10.1109/GEOINFORMATICS.2015.7378555","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378555","url":null,"abstract":"Map projection has a strong impact on an individual's global-scale cognition about the shape, layout, size, center, distance of the Earth's surface. Map projection is not just a technology issue, it is also a subjective strategic tactical of countries, so it is critical for countries' geopolitical environment and geo-strategic. Different map projections imply the geographical realities of international relationship, the strategic properties of the countries' geographical positions, that deeply impacts on China's geopolitical environment. China should pay attention to cartography and advocate the map projection in favor of itself.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123770321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378567
Gaojin He, W. Xiong, Chen Luo, Qiu-Yun Wu, N. Jing
Building pyramids for remote sensing (RS) image is an effective way to achieve image multi-resolution organization, and also an important way to improve the performance of image browsing. For large-scale remote sensing images, traditional sequential pyramid building processing is a time consuming task in many applications. By taking advantage of multi-core, multi-node cluster computing environments and parallel processing mechanisms, a MPI (Message Passing Interface)-based parallel algorithm is proposed, which can greatly improve the performance of pyramid building. The algorithm has a good scalability and can easily be extended to a considerable number of nodes. Experimental results show that the proposed algorithm has a better acceleration effect compared to the sequential methods, and there is a positive correlation between the acceleration effect and image size. For large remote sensing images (in our case 46 GB), the parallel algorithm can be about 10 times faster than GDAL.
{"title":"A MPI-based parallel pyramid building algorithm for large-scale remote sensing images","authors":"Gaojin He, W. Xiong, Chen Luo, Qiu-Yun Wu, N. Jing","doi":"10.1109/GEOINFORMATICS.2015.7378567","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378567","url":null,"abstract":"Building pyramids for remote sensing (RS) image is an effective way to achieve image multi-resolution organization, and also an important way to improve the performance of image browsing. For large-scale remote sensing images, traditional sequential pyramid building processing is a time consuming task in many applications. By taking advantage of multi-core, multi-node cluster computing environments and parallel processing mechanisms, a MPI (Message Passing Interface)-based parallel algorithm is proposed, which can greatly improve the performance of pyramid building. The algorithm has a good scalability and can easily be extended to a considerable number of nodes. Experimental results show that the proposed algorithm has a better acceleration effect compared to the sequential methods, and there is a positive correlation between the acceleration effect and image size. For large remote sensing images (in our case 46 GB), the parallel algorithm can be about 10 times faster than GDAL.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121956659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378600
Guangjie Liu, Jinliang Wang, Lichi Ma, Wenjie Gao
Impervious surface is a character of urban areas. Its cover conditions, changing with urban development, have a great impact on the local climate, hydrology, and the surface energy flux of the city. Based on analyzing the theory of the principal component analysis (PCA), built up area index, linear spectral unmixing, and classification and regression tree to extract impervious surface of Tangshan city, Hebei Province, from Landsat OLI_TIRS image. And by using random sampling points combined with the high resolution remote sensing image, the above four extraction methods are used to extract the impervious surface precision evaluation results. The results show that using the method of classification and regression tree model to extract the impervious surface result accuracy of other classification precision is increased by 3% to 10%.
{"title":"Research on extraction method of urban impervious surface information","authors":"Guangjie Liu, Jinliang Wang, Lichi Ma, Wenjie Gao","doi":"10.1109/GEOINFORMATICS.2015.7378600","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378600","url":null,"abstract":"Impervious surface is a character of urban areas. Its cover conditions, changing with urban development, have a great impact on the local climate, hydrology, and the surface energy flux of the city. Based on analyzing the theory of the principal component analysis (PCA), built up area index, linear spectral unmixing, and classification and regression tree to extract impervious surface of Tangshan city, Hebei Province, from Landsat OLI_TIRS image. And by using random sampling points combined with the high resolution remote sensing image, the above four extraction methods are used to extract the impervious surface precision evaluation results. The results show that using the method of classification and regression tree model to extract the impervious surface result accuracy of other classification precision is increased by 3% to 10%.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122282604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378714
Zhiyong Hu, Chris W. Baynard, Hongda Hu, M. Fazio
As the centers of knowledge, discovery, and intellectual exploration, US universities provide appealing cybersecurity targets. Cyberattack origin patterns and relationships are not evident until data is visualized in maps and tested with statistical models. The current cybersecurity threat detection software utilized by University of North Florida's IT department records large amounts of attacks and attempted intrusions by the minute. This paper presents GIS mapping and spatial analysis of cybersecurity attacks on UNF. First, locations of cyberattack origins were detected by geographic Internet Protocol (GEO-IP) software. Second, GIS was used to map the cyberattack origin locations. Third, we used advanced spatial statistical analysis functions (exploratory spatial data analysis and spatial point pattern analysis) and R software to explore cyberattack patterns. The spatial perspective we promote is novel because there are few studies employing location analytics and spatial statistics in cyber-attack detection and prevention research.
{"title":"GIS mapping and spatial analysis of cybersecurity attacks on a florida university","authors":"Zhiyong Hu, Chris W. Baynard, Hongda Hu, M. Fazio","doi":"10.1109/GEOINFORMATICS.2015.7378714","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378714","url":null,"abstract":"As the centers of knowledge, discovery, and intellectual exploration, US universities provide appealing cybersecurity targets. Cyberattack origin patterns and relationships are not evident until data is visualized in maps and tested with statistical models. The current cybersecurity threat detection software utilized by University of North Florida's IT department records large amounts of attacks and attempted intrusions by the minute. This paper presents GIS mapping and spatial analysis of cybersecurity attacks on UNF. First, locations of cyberattack origins were detected by geographic Internet Protocol (GEO-IP) software. Second, GIS was used to map the cyberattack origin locations. Third, we used advanced spatial statistical analysis functions (exploratory spatial data analysis and spatial point pattern analysis) and R software to explore cyberattack patterns. The spatial perspective we promote is novel because there are few studies employing location analytics and spatial statistics in cyber-attack detection and prevention research.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122313284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378579
Caihui Cui, Zhigang Han, Wenjie Song, Gang-Jun Liu
Regional comprehensive accessibility is the proximity of all locations to other specified locations in a region. Studies of regional accessibility have been primarily performed on a city or county scale. As the nerve ending of a road network, rural roads are distributed throughout a region. However, rural roads were rarely considered in previous studies. In this study, we focus on the scale of townships and include rural roads in the road network to measure accessibility. Using the GIS grid analysis method, we assessed the comprehensive accessibilities of Kaifeng City in China on a township scale. The regional accessibility analysis method on a city or county scale cannot be completely applied to township scale studies, which is reflected in the buffering area processing of closed roads. The accessibility of the townships in Kaifeng are characterized as irregular distributions in circular layers and primarily influenced by road network. Meanwhile, the spatial distribution of the medium and high accessibility values exhibits clustering, the low values are dispersed.
{"title":"Assessment of the comprehensive accessibility of regional road network on towhship scale","authors":"Caihui Cui, Zhigang Han, Wenjie Song, Gang-Jun Liu","doi":"10.1109/GEOINFORMATICS.2015.7378579","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378579","url":null,"abstract":"Regional comprehensive accessibility is the proximity of all locations to other specified locations in a region. Studies of regional accessibility have been primarily performed on a city or county scale. As the nerve ending of a road network, rural roads are distributed throughout a region. However, rural roads were rarely considered in previous studies. In this study, we focus on the scale of townships and include rural roads in the road network to measure accessibility. Using the GIS grid analysis method, we assessed the comprehensive accessibilities of Kaifeng City in China on a township scale. The regional accessibility analysis method on a city or county scale cannot be completely applied to township scale studies, which is reflected in the buffering area processing of closed roads. The accessibility of the townships in Kaifeng are characterized as irregular distributions in circular layers and primarily influenced by road network. Meanwhile, the spatial distribution of the medium and high accessibility values exhibits clustering, the low values are dispersed.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125241883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378707
Yongyang Xu, Zhong Xie, Zhanlong Chen
Semantics plays an important role on spatial scenes building and similarity contrast. Based on the description logic knowledge base (ontology) and multi-layer neural network, this paper simulates the procedure of human perception, measures the semantic similarity between spatial entities. In the Knowledge Base, spatial concepts are built by some description of space, time, and properties, most of these properties are representative, such as structure, shape and function and so on. This paper will describe the spatial entities semantics by function, part and attribute. Semantics description of similarity is calculated by each category. Then, introducing the artificial neural network algorithm during calculating the similarity, establishing the learning rules, optimizing the problem of weight value in similarity calculation process. This paper regard the waters as research object, train the artificial neural network by the calculated result and human subject, to mine knowledge, and verify the results. The result shows that this model can simulate cognition of human better, and calculate similarity of semantics easily and accurately.
{"title":"Research on semantics of entity space similarity measure based on artificial neural networks","authors":"Yongyang Xu, Zhong Xie, Zhanlong Chen","doi":"10.1109/GEOINFORMATICS.2015.7378707","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378707","url":null,"abstract":"Semantics plays an important role on spatial scenes building and similarity contrast. Based on the description logic knowledge base (ontology) and multi-layer neural network, this paper simulates the procedure of human perception, measures the semantic similarity between spatial entities. In the Knowledge Base, spatial concepts are built by some description of space, time, and properties, most of these properties are representative, such as structure, shape and function and so on. This paper will describe the spatial entities semantics by function, part and attribute. Semantics description of similarity is calculated by each category. Then, introducing the artificial neural network algorithm during calculating the similarity, establishing the learning rules, optimizing the problem of weight value in similarity calculation process. This paper regard the waters as research object, train the artificial neural network by the calculated result and human subject, to mine knowledge, and verify the results. The result shows that this model can simulate cognition of human better, and calculate similarity of semantics easily and accurately.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"2008 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125625001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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