{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T15:26:21Z","timestamp":1781105181649,"version":"3.54.1"},"reference-count":28,"publisher":"IGI Global Scientific Publishing","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013,10,1]]},"abstract":"<p>In light of the challenges of effectively managing Big Data, the authors are witnessing a gradual shift towards the increasingly popular Linked Open Data (LOD) paradigm. LOD aims to impose a machine-readable semantic layer over structured as well as unstructured data and hence automate some data analysis tasks that are not designed for computers. The convergence of Big Data and LOD is, however, not straightforward: the semantic layer of LOD and the Big Data large scale storage do not get along easily. Meanwhile, the sheer data size envisioned by Big Data denies certain computationally expensive semantic technologies, rendering the latter much less efficient than their performance on relatively small data sets. In this paper, the authors propose a mechanism allowing LOD to take advantage of existing large-scale data stores while sustaining its \u201csemantic\u201d nature. The authors demonstrate how RDF-based semantic models can be distributed across multiple storage servers and the authors examine how a fundamental semantic operation can be tuned to meet the requirements on distributed and parallel data processing. The authors' future work will focus on stress test of the platform in the magnitude of tens of billions of triples, as well as comparative studies in usability and performance against similar offerings.<\/p>","DOI":"10.4018\/ijdwm.2013100102","type":"journal-article","created":{"date-parts":[[2014,4,9]],"date-time":"2014-04-09T09:15:02Z","timestamp":1397034902000},"page":"19-43","source":"Crossref","is-referenced-by-count":1,"title":["Towards Big Linked Data"],"prefix":"10.4018","volume":"9","author":[{"given":"Bo","family":"Hu","sequence":"first","affiliation":[{"name":"Intelligent Society Platform Research Division, Fujitsu Laboratories of Europe Ltd (FLE), Hayes, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nuno","family":"Carvalho","sequence":"additional","affiliation":[{"name":"Intelligent Society Platform Research Division, Fujitsu Laboratories of Europe Ltd (FLE), Hayes, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takahide","family":"Matsutsuka","sequence":"additional","affiliation":[{"name":"Intelligent Society Platform Research Division, Fujitsu Laboratories of Europe Ltd (FLE), Hayes, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"ijdwm.2013100102-0","doi-asserted-by":"crossref","unstructured":"Angles, R., & Gutierrez, C. (2008). Survey of graph database models. ACM Comput. Surv., 40(1), 1:1\u20131:39.","DOI":"10.1145\/1322432.1322433"},{"key":"ijdwm.2013100102-1","author":"F.Baader","year":"2003","journal-title":"The description logic handbook: Theory, Implementation and Applications"},{"key":"ijdwm.2013100102-2","doi-asserted-by":"publisher","DOI":"10.4018\/jswis.2009081901"},{"issue":"3","key":"ijdwm.2013100102-3","first-page":"41","article-title":"A survey of entity resolution and record linkage methodologies.","volume":"6","author":"D. G.Brizan","year":"2006","journal-title":"Communications of the IIMA"},{"key":"ijdwm.2013100102-4","doi-asserted-by":"crossref","unstructured":"Cai, M., & Frank, M. (2004). RDFPeers: A scalable distributed RDF repository based on a structured peer-to-peer network. In Proceedings of the 13th International Conference on World Wide Web (WWW \u201904), New York, NY (pp. 650\u2013657). ACM.","DOI":"10.1145\/988672.988760"},{"key":"ijdwm.2013100102-5","doi-asserted-by":"publisher","DOI":"10.1145\/1978915.1978919"},{"key":"ijdwm.2013100102-6","doi-asserted-by":"publisher","DOI":"10.1145\/248603.248616"},{"key":"ijdwm.2013100102-7","author":"T. M.Connolly","year":"2001","journal-title":"Database systems: A practical approach to design, implementation, and management"},{"key":"ijdwm.2013100102-8","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327492"},{"key":"ijdwm.2013100102-9","doi-asserted-by":"publisher","DOI":"10.1145\/129888.129894"},{"key":"ijdwm.2013100102-10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-22630-4_6"},{"key":"ijdwm.2013100102-11","doi-asserted-by":"crossref","unstructured":"Graefe, G., & Shapiro, L. D. (1991). Data compression and database performance. In Proc. ACM\/IEEE-CS Symp. On Applied Computing (pp. 22\u201327).","DOI":"10.1109\/SOAC.1991.143840"},{"key":"ijdwm.2013100102-12","unstructured":"Hausenblas, M., Grossman, R., Harth, A., & Cudr\u00e9-Mauroux, P. (2012). Large-scale linked data processing - cloud computing to the rescue? In Proceedings of the 2nd International Conference on Cloud Computing and Services Science (pp. 246\u2013251)."},{"key":"ijdwm.2013100102-13","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2011.11.002"},{"key":"ijdwm.2013100102-14","doi-asserted-by":"crossref","unstructured":"Hu, B., & Svensson, G. (2010). A case study of linked enterprise data. In Proceedings of the 9th international semantic web conference on The semantic web (ISWC\u201910) (pp. 129\u2013144). Berlin, Heidelberg, Germany: Springer-Verlag.","DOI":"10.1007\/978-3-642-17749-1_9"},{"key":"ijdwm.2013100102-15","doi-asserted-by":"crossref","unstructured":"Karger, D., Lehman, E., Leighton, T., Panigrahy, R., Levine, M., & Lewin, D. (1997). Consistent hashing and random trees: Distributed caching protocols for relieving hot spots on the world wide web. In Proceedings of the Twenty-Ninth Annual ACM Symposium on Theory of Computing (STOC \u201997), New York, NY (pp. 654\u2013663). ACM.","DOI":"10.1145\/258533.258660"},{"key":"ijdwm.2013100102-16","doi-asserted-by":"publisher","DOI":"10.1145\/1773912.1773922"},{"key":"ijdwm.2013100102-17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2004.11.001"},{"key":"ijdwm.2013100102-18","doi-asserted-by":"crossref","unstructured":"Mondal, J., & Deshpande, A. (2012). Managing large dynamic graphs efficiently. In Proceedings of the 2012 International Conference on Management of Data (SIGMOD \u201912) (pp. 145\u2013156). ACM.","DOI":"10.1145\/2213836.2213854"},{"key":"ijdwm.2013100102-19","doi-asserted-by":"crossref","unstructured":"Neumann, T., & Weikum, G. (2008). RDF-3X: A RISC-style engine for RDF. In Proc. VLDB Endow., 1(1), 647\u2013659.","DOI":"10.14778\/1453856.1453927"},{"key":"ijdwm.2013100102-20","doi-asserted-by":"crossref","unstructured":"Papailiou, N., Konstantinou, I., Tsoumakos, D., & Koziris, N. (2012). H2rdf: Adaptive query processing on rdf data in the cloud. In Proceedings of the 21st International Conference Companion on World Wide Web (WWW \u201912 Companion) (pp. 397\u2013400). ACM.","DOI":"10.1145\/2187980.2188058"},{"key":"ijdwm.2013100102-21","doi-asserted-by":"publisher","DOI":"10.1145\/1394127.1394128"},{"key":"ijdwm.2013100102-22","first-page":"1","author":"M.Seeger","year":"2009","journal-title":"Key-value stores: A practical overview"},{"key":"ijdwm.2013100102-23","doi-asserted-by":"crossref","unstructured":"Shvachko, K., Kuang, H., Radia, S., & Chansler, R. (2010). The hadoop distributed file system. In Proceedings of the 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST\u201910) (pp. 1\u201310). IEEE Computer Society.","DOI":"10.1109\/MSST.2010.5496972"},{"key":"ijdwm.2013100102-24","unstructured":"Tenschert, A., Assel, M., Cheptsov, A., & Gallizo, G. (2009). Parallelization and distribution techniques for ontology matching in urban computing environments. In Proceedings of the Fourth International Workshop on Ontology Matching at the ISWC Conference."},{"key":"ijdwm.2013100102-25","doi-asserted-by":"crossref","unstructured":"Tsatsanifos, G., Sacharidis, D., & Sellis, T. (2011). On enhancing scalability for distributed rdf\/s stores. In Proceedings of the 14th International Conference on Extending Database Technology (EDBT\/ICDT \u201911), New York, NY (pp. 141\u2013152). ACM.","DOI":"10.1145\/1951365.1951384"},{"key":"ijdwm.2013100102-26","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2011.05.004"},{"key":"ijdwm.2013100102-27","doi-asserted-by":"publisher","DOI":"10.1145\/1435417.1435432"}],"container-title":["International Journal of Data Warehousing and Mining"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=105118","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T18:06:52Z","timestamp":1654106812000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/ijdwm.2013100102"}},"subtitle":["A Large-Scale, Distributed Semantic Data Storage"],"short-title":[],"issued":{"date-parts":[[2013,10,1]]},"references-count":28,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2013,10]]}},"URL":"https:\/\/doi.org\/10.4018\/ijdwm.2013100102","relation":{},"ISSN":["1548-3924","1548-3932"],"issn-type":[{"value":"1548-3924","type":"print"},{"value":"1548-3932","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,10,1]]}}}