{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T02:38:32Z","timestamp":1790822312407,"version":"4.1.0"},"reference-count":36,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2017]]},"DOI":"10.1587\/transinf.2016dap0025","type":"journal-article","created":{"date-parts":[[2017,3,31]],"date-time":"2017-03-31T18:24:15Z","timestamp":1490984655000},"page":"758-767","source":"Crossref","is-referenced-by-count":17,"title":["SpEnD: Linked Data SPARQL Endpoints Discovery Using Search Engines"],"prefix":"10.1587","volume":"E100.D","author":[{"given":"Semih","family":"YUMUSAK","sequence":"first","affiliation":[{"name":"Computer Eng. Dept., KTO Karatay Univ."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Erdogan","family":"DOGDU","sequence":"additional","affiliation":[{"name":"Computer Eng. Dept., Cankaya University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Halife","family":"KODAZ","sequence":"additional","affiliation":[{"name":"Computer Eng. Dept., Selcuk University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andreas","family":"KAMILARIS","sequence":"additional","affiliation":[{"name":"Insight Research Centre for Data Analytics"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pierre-Yves","family":"VANDENBUSSCHE","sequence":"additional","affiliation":[{"name":"Fujitsu Ireland Limited"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] N. Shadbolt, T. Berners-Lee, and W. Hall, \u201cThe semantic web revisited,\u201d IEEE Intelligent Systems, vol.21, no.3, pp.96-101, 2006.","DOI":"10.1109\/MIS.2006.62"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] I. Ermilov, J. Lehmann, M. Martin, and S. Auer, \u201cLODStats: The Data Web Census Dataset,\u201d The Semantic Web-ISWC 2016, vol.9982, pp.38-46, Springer International Publishing, Cham, 2016.","DOI":"10.1007\/978-3-319-46547-0_5"},{"key":"3","unstructured":"[3] P. Vandenbussche, C. Aranda, A. Hogan, and J. Umbrich, \u201cMonitoring the Status of SPARQL Endpoints,\u201d International Semantic Web Conference (Posters & Demos), pp.3-6, 2013."},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] A. Hogan, J. Umbrich, A. Harth, R. Cyganiak, A. Polleres, and S. Decker, \u201cAn empirical survey of Linked Data conformance,\u201d Web Semantics: Science, Services and Agents on the World Wide Web, vol.14, pp.14-44, July 2012.","DOI":"10.1016\/j.websem.2012.02.001"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] C. Bizer, T. Heath, and T. Berners-Lee, \u201cLinked data-the story so far,\u201d International Journal on Semantic Web and Information Systems, vol.5, no.3, pp.1-22, 2009.","DOI":"10.4018\/jswis.2009081901"},{"key":"6","unstructured":"[6] T. Berners-Lee, Y. Chen, L. Chilton, D. Connolly, R. Dhanaraj, J. Hollenbach, A. Lerer, and D. Sheets, \u201cTabulator: Exploring and Analyzing linked data on the Semantic Web,\u201d Proc. 3rd International Semantic Web User Interaction Workshop, 2006."},{"key":"7","unstructured":"[7] K. Alexander and M. Hausenblas, \u201cDescribing linked datasets-on the design and usage of void, the'vocabulary of interlinked datasets,\u201d Linked Data on the Web Workshop (LDOW 09), in conjunction with 18th International World Wide Web Conference (WWW 09), 2009."},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] T. Berners-Lee, J. Hendler, and O. Lassila, \u201cThe Semantic Web,\u201d Scientific American, vol.284, no.5, pp.34-43, May 2001.","DOI":"10.1038\/scientificamerican0501-34"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] A. Batzios, C. Dimou, A.L. Symeonidis, and P.A. Mitkas, \u201cBioCrawler: An intelligent crawler for the semantic web,\u201d Expert Systems with Applications, vol.35, no.1-2, pp.524-530, 2008.","DOI":"10.1016\/j.eswa.2007.07.054"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] A.L. Symeonidis, E. Valtos, S. Seroglou, and P.A. Mitkas, \u201cBiotope: An Integrated Framework for Simulating Distributed Multiagent Computational Systems,\u201d IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, vol.35, no.3, pp.420-432, 2005.","DOI":"10.1109\/TSMCA.2005.846406"},{"key":"11","unstructured":"[11] A. Harth, A. Hogan, Y. Ding, F. Scharffe, and M. Hepp, \u201cAuthorRank: Ranking Improvement for the Web,\u201d Int. Conf. Semantic Web and Web Services, pp.1-12, 2006."},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] S.-Y. Yang, \u201cOntoCrawler: A focused crawler with ontology-supported website models for information agents,\u201d Expert Systems with Applications, vol.37, no.7, pp.5381-5389, jul 2010.","DOI":"10.1016\/j.eswa.2010.01.018"},{"key":"13","unstructured":"[13] R. Isele, C. Bizer, and A. Harth, \u201cLDSpider An open-source crawling framework for the Web of Linked Data,\u201d International Semantic Web Conference, pp.6-9, 2010."},{"key":"14","unstructured":"[14] M. Kumar and R. Vig, \u201cLearnable Focused Meta Crawling Through Web,\u201d Procedia Technology, vol.6, no.1994, pp.606-611, 2012."},{"key":"15","unstructured":"[15] S. Lawrence and C. Giles, \u201cUnited States Patent US6999959 B1-Meta search engine,\u201d 2006."},{"key":"16","unstructured":"[16] A. Kenneth, J. Mcmahon, and C.A. Us, \u201cUnited States Patent US7805432 B2 Meta Search Engine,\u201d 2012."},{"key":"17","unstructured":"[17] D. Berton, B. Klock, E. Glover, and S. Kordik, \u201cUnited States Patent US20040143644 A1-Meta-search engine architecture,\u201d 2004."},{"key":"18","unstructured":"[18] A.E. Howe and D. Dreilinger, \u201cSavvySearch: A Meta-Search Engine that Learns which Search Engines to Query,\u201d AI Magazine, vol.18, no.2, pp.12-25, 1997."},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] A. Gulli and A. Signorini, \u201cBuilding an open source meta-search engine,\u201d Special interest tracks and posters of the 14th international conference on World Wide Web-WWW '05, pp.1004-1005, 2005.","DOI":"10.1145\/1062745.1062840"},{"key":"20","doi-asserted-by":"crossref","unstructured":"[20] H. Wang, Q. Liu, T. Penin, L. Fu, L. Zhang, T. Tran, Y. Yu, and Y. Pan, \u201cSemplore: A scalable IR approach to search the Web of Data,\u201d Web Semantics: Science, Services and Agents on the World Wide Web, vol.7, no.3, pp.177-188, Sept. 2009.","DOI":"10.1016\/j.websem.2009.08.001"},{"key":"21","unstructured":"[21] Y. Lei, V. Uren, and E. Motta, \u201cSemSearch: A Search Engine for the Semantic Web,\u201d Managing Knowledge in a World of Networks, vol.4248, pp.238-245, Springer Berlin Heidelberg, 2006."},{"key":"22","unstructured":"[22] S. Campinas and D. Ceccarelli, \u201cThe Sindice-2011 dataset for entity-oriented search in the web of data,\u201d Proc. 1st International Workshop on Entity-Oriented Search (EOS), pp.26-32, 2011."},{"key":"23","doi-asserted-by":"crossref","unstructured":"[23] T. Finin, J. Mayfield, A. Joshi, R.S. Cost, and C. Fink, \u201cInformation Retrieval and the Semantic Web,\u201d Proceedings of the 38th Annual Hawaii International Conference on System Sciences, pp.113a-113a, IEEE, 2005.","DOI":"10.1109\/HICSS.2005.319"},{"key":"24","unstructured":"[24] A. Harth, A. Hogan, R. Delbru, S.O. Riain, and S. Decker, \u201cSWSE: Answers Before Links !,\u201d Semantic Web Challenge, 2007."},{"key":"25","doi-asserted-by":"crossref","unstructured":"[25] R.C. Miller and K. Bharat, \u201cSPHINX: a framework for creating personal, site-specific Web crawlers,\u201d Computer Networks and ISDN Systems, vol.30, pp.119-130, 1998.","DOI":"10.1016\/S0169-7552(98)00064-6"},{"key":"26","doi-asserted-by":"crossref","unstructured":"[26] E. Ferrara, P. De Meo, G. Fiumara, and R. Baumgartner, \u201cWeb data extraction, applications and techniques: A survey,\u201d Knowledge-Based Systems, vol.70, pp.301-323, 2014.","DOI":"10.1016\/j.knosys.2014.07.007"},{"key":"27","doi-asserted-by":"crossref","unstructured":"[27] M. Acosta, A. Zaveri, E. Simperl, D. Kontokostas, S. Auer, and J. Lehmann, \u201cCrowdsourcing Linked Data Quality Assessment,\u201d International Semantic Web Conference, vol.8219, pp.260-276, 2013.","DOI":"10.1007\/978-3-642-41338-4_17"},{"key":"28","doi-asserted-by":"crossref","unstructured":"[28] D. Kontokostas, P. Westphal, S. Auer, S. Hellmann, J. Lehmann, R. Cornelissen, and A. Zaveri, \u201cTest-driven evaluation of linked data quality,\u201d Proceedings of t23rd international conference on World Wide Web, pp.747-758, 2014.","DOI":"10.1145\/2566486.2568002"},{"key":"29","doi-asserted-by":"crossref","unstructured":"[29] P.N. Mendes, H. M\u00fchleisen, and C. Bizer, \u201cSieve: Linked Data Quality Assessment and Fusion,\u201d Proceedings of the 2012 Joint EDBT\/ICDT Workshops on-EDBT-ICDT '12, pp.116-123, 2012.","DOI":"10.1145\/2320765.2320803"},{"key":"30","doi-asserted-by":"crossref","unstructured":"[30] C. Buil-Aranda, A. Hogan, J. Umbrich, and P.-Y. Vandenbussche, \u201cSPARQL Web-Querying Infrastructure: Ready for Action?,\u201d The Semantic Web-ISWC 2013, vol.8219, pp.277-293, Springer Berlin Heidelberg, 2013.","DOI":"10.1007\/978-3-642-41338-4_18"},{"key":"31","doi-asserted-by":"crossref","unstructured":"[31] A. Gomez-Perez and O. Corcho, \u201cOntology languages for the semantic web,\u201d IEEE Intelligent Systems and Their Applications, vol.17, no.1, pp.54-60, 2002.","DOI":"10.1109\/5254.988453"},{"key":"32","doi-asserted-by":"crossref","unstructured":"[32] A. Gyrard, G. Atemezing, C. Bonnet, K. Boudaoud, and M. Serrano, \u201cReusing and Unifying Background Knowledge for Internet of Things with LOV4IoT,\u201d 4th International Conference on Future Internet of Things and Cloud, pp.262-269, 2016.","DOI":"10.1109\/FiCloud.2016.45"},{"key":"33","doi-asserted-by":"crossref","unstructured":"[33] Z. Wang, J. Li, Y. Zhao, R. Setchi, and J. Tang, \u201cA unified approach to matching semantic data on the web,\u201d Knowledge-Based Systems, vol.39, pp.173-184, 2013.","DOI":"10.1016\/j.knosys.2012.10.015"},{"key":"34","doi-asserted-by":"crossref","unstructured":"[34] J.M. Garc\u00eda, M. Junghans, D. Ruiz, S. Agarwal, and A. Ruiz-Cort\u00e9s, \u201cIntegrating semantic Web services ranking mechanisms using a common preference model,\u201d Knowledge-Based Systems, vol.49, pp.22-36, 2013.","DOI":"10.1016\/j.knosys.2013.04.007"},{"key":"35","doi-asserted-by":"crossref","unstructured":"[35] K. Oztoprak, \u201cSubscriber Profiling for Connection Service Providers by Considering Individuals and Different Timeframes,\u201d IEICE Trans. Commun., vol.E99-B, no.6, pp.1353-1361, 2016.","DOI":"10.1587\/transcom.2015EBP3467"},{"key":"36","unstructured":"[36] K. Oztoprak, \u201cProfiling subscribers according to their internet usage characteristics and behaviors,\u201d Proceedings-2015 IEEE International Conference on Big Data, IEEE Big Data 2015, pp.1492-1499, 2015."}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E100.D\/4\/E100.D_2016DAP0025\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,25]],"date-time":"2017-06-25T10:00:49Z","timestamp":1498384849000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E100.D\/4\/E100.D_2016DAP0025\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":36,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2017]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2016dap0025","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}