{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T19:58:43Z","timestamp":1770839923629,"version":"3.50.1"},"reference-count":62,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2017,6,3]],"date-time":"2017-06-03T00:00:00Z","timestamp":1496448000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Geologic survey procedures accumulate large volumes of structured and unstructured data. Fully exploiting the knowledge and information that are included in geological big data and improving the accessibility of large volumes of data are important endeavors. In this paper, which is based on the architecture of the geological survey information cloud-computing platform (GSICCP) and big-data-related technologies, we split geologic unstructured data into fragments and extract multi-dimensional features via geological domain ontology. These fragments are reorganized into a NoSQL (Not Only SQL) database, and then associations between the fragments are added. A specific class of geological questions was analyzed and transformed into workflow tasks according to the predefined rules and associations between fragments to identify spatial information and unstructured content. We establish a knowledge-driven geologic survey information smart-service platform (GSISSP) based on previous work, and we detail a study case for our research. The study case shows that all the content that has known relationships or semantic associations can be mined with the assistance of multiple ontologies, thereby improving the accuracy and comprehensiveness of geological information discovery.<\/jats:p>","DOI":"10.3390\/ijgi6060166","type":"journal-article","created":{"date-parts":[[2017,6,6]],"date-time":"2017-06-06T10:53:09Z","timestamp":1496746389000},"page":"166","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["A Knowledge-Driven Geospatially Enabled Framework for Geological Big Data"],"prefix":"10.3390","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1304-6353","authenticated-orcid":false,"given":"Liang","family":"Wu","sequence":"first","affiliation":[{"name":"School of Information Engineering, China University of Geosciences, Wuhan 430074, China"},{"name":"National Engineering Research Center for GIS, Wuhan 430074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Xue","sequence":"additional","affiliation":[{"name":"School of Information Engineering, China University of Geosciences, Wuhan 430074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaoling","family":"Li","sequence":"additional","affiliation":[{"name":"Development and Research Center, China Geological Survey, Beijing 100037, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xia","family":"Lv","sequence":"additional","affiliation":[{"name":"Development and Research Center, China Geological Survey, Beijing 100037, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhanlong","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Information Engineering, China University of Geosciences, Wuhan 430074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9411-7530","authenticated-orcid":false,"given":"Baode","family":"Jiang","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for GIS, Wuhan 430074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4097-4814","authenticated-orcid":false,"given":"Mingqiang","family":"Guo","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for GIS, Wuhan 430074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhong","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Information Engineering, China University of Geosciences, Wuhan 430074, China"},{"name":"National Engineering Research Center for GIS, Wuhan 430074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,6,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1016\/j.jbi.2013.07.001","article-title":"\u201cBig data\u201d, hadoop and cloud computing in genomics","volume":"46","author":"Daugelaite","year":"2013","journal-title":"J. Biomed. Inform."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.cageo.2013.10.007","article-title":"Geospatial services in the cloud","volume":"63","author":"Evangelidis","year":"2014","journal-title":"Comput. Geosci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.future.2016.01.003","article-title":"Expanded cloud plumes hiding big data ecosystem","volume":"59","author":"Sharma","year":"2016","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.compenvurbsys.2016.10.010","article-title":"Utilizing cloud computing to address big geospatial data challenges","volume":"61","author":"Yang","year":"2017","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1007\/s12243-015-0489-0","article-title":"Cirus: An elastic cloud-based framework for ubilytics","volume":"71","author":"Donsez","year":"2016","journal-title":"Ann. Telecommun."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1016\/j.tele.2015.12.005","article-title":"Real-time business activity monitoring and analysis of process performance on big-data domains","volume":"33","author":"Molloy","year":"2016","journal-title":"Telemat. Inform."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1109\/TKDE.2015.2499202","article-title":"Diplocloud: Efficient and scalable management of rdf data in the cloud","volume":"28","author":"Wylot","year":"2016","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1080\/13658816.2014.968783","article-title":"Forming a global monitoring mechanism and a spatiotemporal performance model for geospatial services","volume":"29","author":"Xia","year":"2015","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.cag.2015.03.003","article-title":"A framework for processing large scale geospatial and remote sensing data in mapreduce environment","volume":"49","author":"Giachetta","year":"2015","journal-title":"Comput Graph."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1007\/978-3-319-21206-7_10","article-title":"A survey on big data, mining: (tools, techniques, applications and notable uses)","volume":"Volume 370","author":"Abraham","year":"2015","journal-title":"Intelligent Data Analysis and Applications"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Lomotey, R.K., and Deters, R. (2014, January 7\u201311). Towards knowledge discovery in big data. Proceedings of the IEEE 8th International Symposium on Service Oriented System Engineering, Oxford, UK.","DOI":"10.1109\/SOSE.2014.25"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1145\/2500873","article-title":"Big-data applications in the government sector","volume":"57","author":"Kim","year":"2014","journal-title":"Commun. ACM"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1080\/17538947.2016.1239771","article-title":"Big data and cloud computing: Innovation opportunities and challenges","volume":"10","author":"Yang","year":"2017","journal-title":"Int. J. Digit. Earth"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Bhogal, J., and Choksi, I. (2015, January 24\u201327). Handling big data using NoSQL. Proceedings of the 29th IEEE International Conference on Advanced Information Networking and Applications Workshops, Gwangju, Korea.","DOI":"10.1109\/WAINA.2015.19"},{"key":"ref_15","unstructured":"Lomotey, R.K., and Deters, R. (July, January 27). Terms mining in document-based NoSQL: Response to unstructured data. Proceedings of the 3rd IEEE International Congress on Big Data, BigData Congress, Anchorage, AK, USA."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1007\/978-3-319-06932-6_51","article-title":"Applying nosql databases for operationalizing clinical data mining models","volume":"Volume 424","author":"Kozielski","year":"2014","journal-title":"Beyond Databases, Architectures and Structures"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Lomotey, R.K., and Deters, R. (2013, January 24\u201326). Unstructured data extraction in distributed NoSQL. Proceedings of the 7th IEEE International Conference on Digital Ecosystems and Technologies: Smart Planet and Cyber Physical Systems as Embodiment of Digital Ecosystems, Menlo Park, CA, USA.","DOI":"10.1109\/DEST.2013.6611347"},{"key":"ref_18","unstructured":"Chen, J., Cuzzocrea, A., and Yang, L.T. (2013, January 3\u20135). Topics and terms mining in unstructured data stores. Proceedings of the IEEE 16th International Conference on Computational Science and Engineering, Sydney, Australia."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Lomotey, R.K., and Deters, R. (2013, January 16\u201318). Real-time effective framework for unstructured data mining. Proceedings of the 2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Melbourne, Australia.","DOI":"10.1109\/TrustCom.2013.131"},{"key":"ref_20","first-page":"3","article-title":"The design of large scale data management for spatial analysis on mobile phone dataset","volume":"13","author":"Witayangkurn","year":"2013","journal-title":"Asian J. Geoinform."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"994","DOI":"10.1016\/j.jcss.2014.02.006","article-title":"A security framework in g-hadoop for big data computing across distributed cloud data centres","volume":"80","author":"Zhao","year":"2014","journal-title":"J. Comput. Syst. Sci."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Zhong, Y., Han, J., Zhang, T., Li, Z., Fang, J., and Chen, G. (2012, January 21\u201325). Towards parallel spatial query processing for big spatial data. Proceedings of the 2012 IEEE 26th International on Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), Shanghai, China.","DOI":"10.1109\/IPDPSW.2012.245"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1009","DOI":"10.14778\/2536222.2536227","article-title":"Hadoop gis: A high performance spatial data warehousing system over mapreduce","volume":"6","author":"Aji","year":"2013","journal-title":"Proc. VLDB Endow."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1230","DOI":"10.14778\/2536274.2536283","article-title":"A demonstration of spatialhadoop: An efficient mapreduce framework for spatial data","volume":"6","author":"Eldawy","year":"2013","journal-title":"Proc. VLDB Endow."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.cageo.2013.04.019","article-title":"Semantic overlay network for large-scale spatial information indexing","volume":"57","author":"Zou","year":"2013","journal-title":"Comput. Geosci."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Verma, V.K., Ranjan, M., and Mishra, P. (2015, January 6\u20138). Text mining and information professionals role, issues and challenges. Proceedings of the 4th International Symposium on Emerging Trends and Technologies in Libraries and Information Services (Ettlis), Noida, India.","DOI":"10.1109\/ETTLIS.2015.7048186"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1007\/s12046-013-0197-2","article-title":"Mining knowledge from text repositories using information extraction: A review","volume":"39","author":"Sirsat","year":"2014","journal-title":"Sadhana"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Abu, A., Susan, L.L.H., Sidhu, A.S., and Dhillon, S.K. (2013). Semantic representation of monogenean haptoral bar image annotation. BMC Bioinform., 14.","DOI":"10.1186\/1471-2105-14-48"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.cageo.2015.10.011","article-title":"Interoperable cross-domain semantic and geospatial framework for automatic change detection","volume":"86","author":"Kuo","year":"2016","journal-title":"Comput. Geosci."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.cageo.2011.10.021","article-title":"To ontologise or not to ontologise: An information model for a geospatial knowledge infrastructure","volume":"45","author":"Stock","year":"2012","journal-title":"Comput. Geosci."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.cageo.2011.11.020","article-title":"Automated geospatial web services composition based on geodata quality requirements","volume":"47","author":"Cruz","year":"2012","journal-title":"Comput. Geosci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1752","DOI":"10.1016\/j.cageo.2011.06.024","article-title":"Semantic-based web service discovery and chaining for building an arctic spatial data infrastructure","volume":"37","author":"Li","year":"2011","journal-title":"Comput. Geosci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.compenvurbsys.2012.10.008","article-title":"An ontology-enabled framework for a geospatial problem-solving environment","volume":"38","author":"Jung","year":"2013","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Xiao, C., Chen, N., Wang, X., and Chen, Z. (2016). A semantic registry method using sensor metadata ontology to manage heterogeneous sensor information in the geospatial sensor web. ISPRS Int. J. Geo-Inf., 5.","DOI":"10.3390\/ijgi5050063"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Hu, Y., Janowicz, K., Prasad, S., and Gao, S. (2015, January 9\u201312). Enabling semantic search and knowledge discovery for arcgis online: A linked-data-driven. Proceedings of the 18th AGILE International Conference on Geographic Information Science, AGILE 2015, Lisbon, Portugal.","DOI":"10.1007\/978-3-319-16787-9_7"},{"key":"ref_36","unstructured":"Sathiakumar, S., Awasthi, L.K., Masillamani, M.R., and Sridhar, S.S. (2012, January 12\u201314). Jena with sparql to find indian natural plants used as medicine for diseases. Proceedings of the International Conference on Internet Computing and Information Communications, Chennai, India."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Klinov, P., and Mouromtsev, D. (October, January 30). Sparql commands in jena rules. Proceedings of the 6th International Conference Knowledge Engineering and Semantic Web, KESW 2015, Moscow, Russia.","DOI":"10.1007\/978-3-319-24543-0"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1007\/978-3-319-12823-8_13","article-title":"Learning object metadata mapping for linked open data","volume":"Volume 8839","author":"Tuamsuk","year":"2014","journal-title":"Emergence of Digital Libraries\u2014Research and Practices"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"836","DOI":"10.1016\/j.datak.2010.03.005","article-title":"Rdfprov: A relational rdf store for querying and managing scientific workflow provenance","volume":"69","author":"Chebotko","year":"2010","journal-title":"Data Knowl. Eng."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1007\/978-3-319-25768-6_16","article-title":"Learning about the semantic web in an information systems oriented curriculum: A case study","volume":"Volume 510","author":"Zvacek","year":"2015","journal-title":"Computer Supported Education"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Jang, B., and Ha, Y.-G. (2013, January 3\u20135). Transitivity reasoning for rdf ontology with iterative mapreduce. Proceedings of the Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, Taichung, Taiwan.","DOI":"10.1109\/IMIS.2013.47"},{"key":"ref_42","unstructured":"Zhang, L.J., and Bahsoon, R. (July, January 27). Modeling and discovering data services over sparql services. Proceedings of the IEEE World Congress on Services, Anchorage, AK, USA."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1007\/s10115-008-0169-8","article-title":"Sparql graph pattern rewriting for owl-dl inference queries","volume":"20","author":"Jing","year":"2009","journal-title":"Knowl. Inf. Syst."},{"key":"ref_44","unstructured":"Liang, H., and Wang, W. (2015, January 17\u201318). Semantic query and reasoning system based on domain ontology. Proceedings of the 2015 International Symposium on Computers & Informatics, Beijing, China."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Christodoulou, G., Petrakis, E.G.M., and Batsakis, S. (2012, January 7\u20139). Qualitative spatial reasoning using topological and directional information in owl. Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, Athens, Greece.","DOI":"10.1109\/ICTAI.2012.86"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1698","DOI":"10.1021\/acs.jcim.5b00119","article-title":"Dinto: Using owl ontologies and swrl rules to infer drug-drug interactions and their mechanisms","volume":"55","author":"Hastings","year":"2015","journal-title":"J. Chem. Inf. Model."},{"key":"ref_47","first-page":"112","article-title":"User extensible system to identify problems in owl ontologies and swrl rules","volume":"Volume 9202","author":"Bassiliades","year":"2015","journal-title":"Rule Technologies: Foundations, Tools, and Applications"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1007\/978-3-319-22002-4_6","article-title":"Web ontology representation and reasoning via fragments of set theory","volume":"Volume 9209","author":"TenCate","year":"2015","journal-title":"Web Reasoning and Rule Systems"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Wu, L., Xue, L., Li, C., Lv, X., Chen, Z., Guo, M., and Xie, Z. (2015). A geospatial information grid framework for geological survey. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0145312"},{"key":"ref_50","unstructured":"White, T. (2010). Meet hadoop. Hadoop\u2014The Definitive Guide, Tsinghua University Press."},{"key":"ref_51","unstructured":"White, T. (2010). The hadoop distributed filesystem. Hadoop\u2014The Definitive Guide, Tsinghua University Press."},{"key":"ref_52","unstructured":"White, T. (2010). Zookeeper. Hadoop\u2014The Definitive Guide, Tsinghua University Press."},{"key":"ref_53","unstructured":"George, L. (2013). Introduction. Hbase\u2014The Definitive Guide, POST & TELECOM PRESS."},{"key":"ref_54","unstructured":"George, L. (2013). Advanced usage. Hbase\u2014The Definitive Guide, POST & TELECOM PRESS."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1006\/knac.1993.1008","article-title":"A translation approach to portable ontology specifications","volume":"5","author":"Gruber","year":"1993","journal-title":"Knowl. Acquis."},{"key":"ref_56","first-page":"36","article-title":"Enabling technology for knowledge sharing","volume":"12","author":"Neches","year":"1991","journal-title":"AI Mag."},{"key":"ref_57","first-page":"32","article-title":"Ontologies and knowledge bases towards a terminological clarification","volume":"Volume 25","author":"Mars","year":"1995","journal-title":"Towards Very Large Knowledge Bases: Knowledge Building & Knowledge Sharing"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"An, Y., and Zhao, B. (2007). Geo Ontology Design and Comparison in Geographic Information Integration, IEEE Computer Society.","DOI":"10.1109\/FSKD.2007.344"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.jsg.2009.01.008","article-title":"Ontology of fractures","volume":"31","author":"Zhong","year":"2009","journal-title":"J. Struct. Geol."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Li, C., Song, M., Lv, X., Luo, X., and Li, J. (2010, January 1\u20135). The spatial data sharing mechanisms of geological survey information grid in p2p mixed network systems network architecture model. Proceedings of the 2010 9th International Conference on Grid and Cooperative Computing (GCC), Nanjing, China.","DOI":"10.1109\/GCC.2010.59"},{"key":"ref_61","unstructured":"Li, C. (2013). Geological domain ontology and its application. China Geological Survey Information Grid\u2014Technology & Methodology, Geological Publishing House."},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Li, C. (2010, January 18\u201320). The technical infrastructure of geological survey information grid. Proceedings of the 2010 18th International Conference on Geoinformatics, Beijing, China.","DOI":"10.1109\/GEOINFORMATICS.2010.5567743"}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/6\/6\/166\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:37:56Z","timestamp":1760207876000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/6\/6\/166"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,3]]},"references-count":62,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2017,6]]}},"alternative-id":["ijgi6060166"],"URL":"https:\/\/doi.org\/10.3390\/ijgi6060166","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,6,3]]}}}