Pub Date : 2015-10-01DOI: 10.1109/ICDIPC.2015.7323028
Vladimír Hanušniak, Marian Svalec, Juraj Branický, L. Takac, M. Zábovský
It has been planned that the whole region of Slovak Republic's surface would be scanned, and there arose a need for storing the resulting data and making it publicly available. For this purpose, a scalable file-based database system for storing and accessing a large amount of geographic point cloud data was developed. The principle of the system was tested and proved to be sufficient in most situations, but under certain circumstances, single-computer solution was not satisfactory. So, the system was re-implemented using the Hadoop framework and experiments with many configurations were done. The results of the experiments are presented in this paper along with our conclusions.
{"title":"Exploitation of Hadoop framework for point cloud geographic data storage system","authors":"Vladimír Hanušniak, Marian Svalec, Juraj Branický, L. Takac, M. Zábovský","doi":"10.1109/ICDIPC.2015.7323028","DOIUrl":"https://doi.org/10.1109/ICDIPC.2015.7323028","url":null,"abstract":"It has been planned that the whole region of Slovak Republic's surface would be scanned, and there arose a need for storing the resulting data and making it publicly available. For this purpose, a scalable file-based database system for storing and accessing a large amount of geographic point cloud data was developed. The principle of the system was tested and proved to be sufficient in most situations, but under certain circumstances, single-computer solution was not satisfactory. So, the system was re-implemented using the Hadoop framework and experiments with many configurations were done. The results of the experiments are presented in this paper along with our conclusions.","PeriodicalId":339685,"journal":{"name":"2015 Fifth International Conference on Digital Information Processing and Communications (ICDIPC)","volume":"294 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126022357","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 : 2015-10-01DOI: 10.1109/ICDIPC.2015.7323029
B. Bučko, Vladimír Hanušniak, Michal Joštiak, Katarína Zábovská
Knowledge can be defined as a fact or state which is based on gathered information, experiences and association. Storing and gathering knowledge is an actual issue in artificial intelligence, health care and manufacturing. Ontologies use mechanism that offers inferring of the new facts out of explicitly given ones. We have used this feature for solving a logic riddle. The speed of inferring facts/knowledge is crucial. This paper presents several experiments with various versions of ontological model and compares inferring speed of the chosen riddle within these models.
{"title":"Inferring over functionally equivalent ontologies","authors":"B. Bučko, Vladimír Hanušniak, Michal Joštiak, Katarína Zábovská","doi":"10.1109/ICDIPC.2015.7323029","DOIUrl":"https://doi.org/10.1109/ICDIPC.2015.7323029","url":null,"abstract":"Knowledge can be defined as a fact or state which is based on gathered information, experiences and association. Storing and gathering knowledge is an actual issue in artificial intelligence, health care and manufacturing. Ontologies use mechanism that offers inferring of the new facts out of explicitly given ones. We have used this feature for solving a logic riddle. The speed of inferring facts/knowledge is crucial. This paper presents several experiments with various versions of ontological model and compares inferring speed of the chosen riddle within these models.","PeriodicalId":339685,"journal":{"name":"2015 Fifth International Conference on Digital Information Processing and Communications (ICDIPC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123500135","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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