Abstract
Ontologies have become a popular means of knowledge sharing and reuse. This has motivated the development of large-sized independent ontologies within the same or different domains with some overlapping information among them. To integrate such large ontologies, automatic matchers become an inevitable solution. However, the process of matching large ontologies has high space and time complexities. Therefore, for a tool to efficiently and accurately match these large ontologies within the limited computing resources, it must have techniques that can significantly reduce the high space and time complexities associated with the ontology matching process. This article provides a review of the state-of-the-art techniques being applied by ontology matching tools to achieve scalability and produce high-quality mappings when matching large ontologies. In addition, we provide a direct comparison of the techniques to gauge their effectiveness in achieving scalability. A review of the state-of-the-art ontology matching tools that employ each strategy is also provided. We also evaluate the state-of-the-art tools to gauge the progress they have made over the years in improving alignment’s quality and reduction of execution time when matching large ontologies.
- M. J. S. Abadi and Kamran Zamanifar. 2011. Producing complete modules in ontology partitioning. Proceedings of the 2011 International Conference on Semantic Technology and Information Retrieval (STAIR’11). 137--143.Google Scholar
- Rakesh Agrawal, Alexander Borgida, and H. V. Jagadish. 1989. Efficient management of transitive relationships in large data and knowledge bases. SIGMOD’89: Proceedings of the 1989 ACM SIGMOD International Conference on Management of Data (1989). 253--262. Google ScholarDigital Library
- Alsayed Algergawy, Sabine Massmann, and Erhard Rahm. 2011. A clustering-based approach for large-scale ontology matching. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 415--428. Google ScholarDigital Library
- M. B. Amin, W. Ali Khan, S. Hussain, D.-M. Bui, O. Banos, B. H. Kang, and S. Lee. 2016. Evaluating large-scale biomedical ontology matching over parallel platforms. IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India) 33, 4 (2016), 415--427.Google Scholar
- Muhammad Bilal Amin, Rabia Batool, Wajahat Ali Khan, Sungyoung Lee, and Eui-Nam Huh. 2014. SPHeRe. The Journal of Supercomputing 68, 1 (2014), 274--301. Google ScholarDigital Library
- Diego Andrade, Basilio B. Fraguela, James Brodman, and David Padua. 2009. Task-parallel versus data-parallel library-based programming in multicore systems. Proceedings of the 17th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP’09), 101--110. Google ScholarDigital Library
- Ricardo Baeza-Yates and Berthier Ribeiro-Neto. 2007. Modern Information Retrieval. ACM Press/Addison-Wesley (1999). Google ScholarDigital Library
- Blaise Barney. 2016. Introduction to parallel computing. Retrieved June 14, 2016 from https://computing.llnl.gov/tutorials/parallel_comp.Google Scholar
- K. Belhajjame, Norman W. Paton, Alvaro A. A. Fernandes, Cornelia Hedeler, and Suzanne M. Embury. 2011. User feedback as a first class citizen in information integration systems. Proceedings of the Conference on Innovative Data Systems Research (CIDR’11). 175--183.Google Scholar
- J. A. Blake et al. 2015. Gene ontology consortium: Going forward. Nucleic Acids Research (2015), D1049--D1056.Google Scholar
- Watson Wei Khong Chua and Jung Jae Kim. 2010. Eff2Match results for OAEI 2010. CEUR Workshop Proceedings 666, 1 (2010), 150--157. Google ScholarDigital Library
- Colm Conroy, Declan O’Sullivan, and Dave Lewis. 2007. A “tagging” approach to ontology mapping. CEUR Workshop Proceedings (2007). 1--5. Google ScholarDigital Library
- I. F. Cruz, Francesco Loprete, and Matteo Palmonari. 2014. Pay-as-you-go multi-user feedback model for ontology matching. In Proceedings of the International Conference on Knowledge Engineering and Knowledge Management. 80--96.Google ScholarCross Ref
- Isabel F. Cruz, Cosmin Stroe, and Matteo Palmonari. 2012. Interactive user feedback in ontology matching using signature vectors. Proceedings of the International Conference on Data Engineering (2012). 1321--1324. Google ScholarDigital Library
- Syrine Damak, Hazem Souid, Marouen Kachroudi, and Sami Zghal. 2015. EXONA results for OAEI 2015 and Sami Zghal. The 10th International Workshop on Ontology Matching - Ontology Alignment Evaluation Initiative (2015). 5.Google Scholar
- Mathieu D’Aquin, Marta Sabou, and Enrico Motta. 2006. Modularization: A key for the dynamic selection of relevant knowledge components. CEUR Workshop Proceedings 232 (2006). Google ScholarDigital Library
- V. Jirkovský and R. Ichise. 2013. Mapsom: User involvement in ontology matching. In Proceedings of the 3rd JIST Conference, volume 2. Springer. Google ScholarDigital Library
- D. de Vaus. 2002. Surveys in social research. Routledge (2002).Google Scholar
- J. Dean and S. Ghemawat. 2004. Simplified data processing on large clusters. Sixth Symp. Oper. Syst. Des. Implement. 1 (2004), 107--113.Google Scholar
- Rudra Pratap Deb Nath, Hanif Seddiqui, and Masaki Aono. 2012. Resolving scalability issue to ontology instance matching in semantic web. Proceedings of the 15th International Conference on Computer and Information Technology, (ICCIT’12). 396--404.Google ScholarCross Ref
- Chiara Del Vescovo, Bijan Parsia, Uli Sattler, and Thomas Schneider. 2011. The modular structure of an ontology: Atomic decomposition. IJCAI International Joint Conference on Artificial Intelligence (2011), 2232--2237. Google ScholarDigital Library
- Gayo Diallo. 2014. An effective method of large scale ontology matching. Journal of Biomedical Semantics 5 (2014), 44.Google ScholarCross Ref
- Warith Eddine Djeddi and Mohamed Tarek Khadir. 2013. XMapGen and XMapSiG results for OAEI 2013. CEUR Workshop Proceedings (2013). 203--210. Google ScholarDigital Library
- Warith Eddine Djeddi and Mohamed Tarek Khadir. 2014. XMap++: Results for OAEI 2014. CEUR Workshop Proceedings (2014). 163--169. Google ScholarDigital Library
- Hong Hai Do and Erhard Rahm. 2007. Matching large schemas: Approaches and evaluation. Information Systems (2007), 857--885. Google ScholarDigital Library
- Pedro Domingos, Daniel Lowd, Stanley Kok, Hoifung Poon, Matthew Richardson, and Parag Singla. 2008. Just add weights: Markov logic for the semantic web. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2008). 1--25.Google Scholar
- P. Doran, V. Tamma, and L. Iannone. 2007. Ontology module extraction for ontology reuse: An ontology engineering perspective. Proceedings of the 16th ACM Conference in Information and Knowledge Management (2007). 61--70. Google ScholarDigital Library
- Zlatan Dragisic, Valentina Ivanova, Patrick Lambrix, Daniel Faria, Ernesto Jiménez-Ruiz, and Catia Pesquita. 2016. User validation in ontology alignment. In Proceedings of the International Semantic Web Conference 9981, 1 (2016), 200--217.Google ScholarCross Ref
- Warith Eddine, Mohamed Tarek, and Sadok Ben. 2016. XMap: Results for OAEI 2016. Proceedings of the 11th International Workshop on Ontology Matching 1766, 5 (2016), 122--127.Google Scholar
- P. Euzenat and J. Shvaiko. 2005. A survey of schema-based matching approaches. Journal on Data Semantics (2005). Google ScholarDigital Library
- P. Euzenat and J. Shvaiko. 2007. Ontology Matching. Springer, Heidelberg. Google ScholarDigital Library
- Muhammad Fahad. 2015. Initial results for ontology matching workshop 2015 DKP-AOM: Results for OAEI 2015. In CEUR Workshop Proceedings 1766, 5 (2015), 82--96.Google Scholar
- Daniel Faria, Catarina Martins, Amruta Nanavaty, Daniela Oliveira, Booma S. Balasubramani, Aynaz Taheri, Catia Pesquita, Francisco M. Couto, and Isabel F. Cruz. 2015. AML results for OAEI 2015. In CEUR Workshop Proceedings. 116--123.Google Scholar
- D. Faria, C. Pesquita, E. Santos, M. Palmonari, I. F. Cruz, and F. M. Couto. 2013. The AgreementMakerLight Ontology Matching System. Springer-Verlag, Berlin, 527--541.Google Scholar
- Jennifer Golbeck, Gilberto Fragoso, Frank Hartel, Jim Hendler, Jim Oberthaler, and Bijan Parsia. 2001. The national cancer institute’s thésaurus and ontology. Web Semantics: Science, Services and Agents on the World Wide Web (2001).Google Scholar
- Bernardo Cuenca Grau, Ian Horrocks, Yevgeny Kazakov, and Ulrike Sattler. 2007. A logical framework for modularity of ontologies. IJCAI International Joint Conference on Artificial Intelligence (2007), 298--303. Google ScholarDigital Library
- Bernardo Cuenca Grau, Ian Horrocks, Yevgeny Kazakov, and Ulrike Sattler. 2008. Modular reuse of ontologies: Theory and practice. Journal of Artificial Intelligence Research (2008), 273--318. Google ScholarDigital Library
- Bernardo Cuenca Grau, Bijan Parsia, Evren Sirin, and Aditya Kalyanpur. 2005. Automatic partitioning of OWL ontologies using e-connections. CEUR Workshop Proceedings 946, 1 (2005), 160--167.Google Scholar
- Bernardo Cuenca Grau, Bijan Parsia, Evren Sirin, and Aditya Kalyanpur. 2006. Modularity and web ontologies. Proceedings of the 10th International Conference on Principles of Knowledge Representation and Reasoning (2006). 198--209. Google ScholarDigital Library
- Anika Gross, Michael Hartung, Toralf Kirsten, and Erhard Rahm. 2010. On matching large life science ontologies in parallel. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6254 LNBI (2010). 35--49. Google ScholarDigital Library
- Anika Groß, Michael Hartung, Toralf Kirsten, and Erhard Rahm. 2012. GOMMA results for OAEI 2012. Proceedings of the International Semantic Web Conference 946, 2 (2012), 160--167.Google Scholar
- Marko Gulić and Boris Vrdoljak. 2013. CroMatcher - Results for OAEI 2013. In Proceedings of the 10th International Workshop on Ontology Matching, volume 1545. Bethlehem, PA, USA, 117--122. Google ScholarDigital Library
- Marko Gulic, Boris Vrdoljak, and Marko Banek. 2016. CroMatcher: An ontology matching system based on automated weighted aggregation and iterative final alignment. Journal of Web Semantics 41 (2016), 50--71.Google ScholarCross Ref
- Matthew Horridge, Bijan Parsia, and Ulrike Sattler. 2008. Laconic and precise justifications in OWL. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2008). 323--338. Google ScholarDigital Library
- Wei Hu, Yuanyuan Zhao, and Yuzhong Qu. 2006. Partition-based block matching of large class hierarchies. Proceedings of the 1st Asian Semantic Web Conference (ASWC’06). 72--83. Google ScholarDigital Library
- Jakob Huber, Timo Sztyler, Jan Noessner, and Christian Meilicke. 2011. CODI: Combinatorial optimization for data integration—Results for OAEI 2011. Proceedings of the 6th International Workshop on Ontology Matching 814, 1 (2011), 134--141. Google ScholarDigital Library
- Panagiotis G. Ipeirotis, Foster Provost, and Jing Wang. 2010. Quality management on Amazon mechanical turk. Proceedings of the ACM SIGKDD Workshop on Human Computation (HCOMP’10). 64. Google ScholarDigital Library
- Robert W. Irving, David F. Manlove, and Gregg O’Malley. 2009. Stable marriage with ties and bounded length preference lists. Journal of Discrete Algorithms (2009), 213--219. Google ScholarDigital Library
- Valentina Ivanova, Patrick Lambrix, and Johan Å. Berg. 2015. Requirements for and evaluation of user support for large-scale ontology alignment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3--20. Google ScholarDigital Library
- Arkadiusz Jachnik, Andrzej Szwabe, Pawel Misiorek, and Przemyslaw Walkowiak. 2012. TOAST results for OAEI 2012. CEUR Workshop Proceedings (2012). 205--212. Google ScholarDigital Library
- H. V. Jagadish. 1990. A compression technique to materialize transitive closure. TODS (1990). 558--598. Google ScholarDigital Library
- Fatsuma Jauro, S. B. Junaidu, and S. E Abdullahi. 2014. Falcon-AO++ - An improved ontology alignment system. International Journal of Computer Applications 94, 2 (2014), 1--7.Google ScholarCross Ref
- Yves R. Jean-Mary, E. Patrick Shironoshita, and Mansur R. Kabuka. 2009. Ontology matching with semantic verification. Journal of Web Semantics 7, 3 (2009), 235--251. arxiv:NIHMS150003 Google ScholarDigital Library
- E. Jim. 2014. OAEI 2014—LogMap family results for OAEI 2014. In CEUR Workshop Proceedings. 3--7.Google Scholar
- Ernesto Jiménez-Ruiz and Bernardo Cuenca Grau. 2011. LogMap: Logic-based and scalable ontology matching. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 273--288. Google ScholarDigital Library
- E. Jiménez-Ruiz, B. Cuenca Grau, R. Berlanga, and I. Horrocks. 2009. Towards a logic-based assessment of the compatibility of UMLS sources. CEUR Workshop Proceedings (2009). S2.Google Scholar
- E. Jiménez-Ruiz, B. Cuenca Grau, A. Solimando, and V. Cross. 2015. LogMap family results for OAEI 2015. CEUR Workshop Proceedings (2015). 171--175.Google Scholar
- Ernesto Jiménez-Ruiz, Bernardo Cuenca Grau, and Yujiao Zhou. 2011. LogMap 2.0: Towards logic-based, scalable and interactive ontology matching. In SWAT4LS 66, 2 (2011), 45--46. Google ScholarDigital Library
- Ernesto Jiménez-Ruiz, Bernardo Cuenca Grau, Yujiao Zhou, and Ian Horrocks. 2012. Large-scale interactive ontology matching: Algorithms and implementation. Frontiers in Artificial Intelligence and Applications, 444--449. Google ScholarDigital Library
- Ernesto Jiménez-Ruiz, Christian Meilicke, Bernardo Cuenca Grau, and Ian Horrocks. 2013. Evaluating mapping repair systems with large biomedical ontologies. CEUR Workshop Proceedings (2013). 1000--1010.Google Scholar
- Ruoming Jin, Yang Xiang, Ning Ruan, and Haixun Wang. 2008. Efficiently answering reachability queries on very large directed graphs. In Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data - (SIGMOD’08). 595. Google ScholarDigital Library
- Aditya Kalyanpur, Bijan Parsia, Matthew Horridge, and Evren Sirin. 2007. Finding all justifications of OWL DL entailments. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2007). 267--280. Google ScholarDigital Library
- Wajahat Ali Khan, Muhammad Bilal Amin, Asad Masood Khattak, Maqbool Hussain, and Sungyoung Lee. 2013. System for parallel heterogeneity resolution (SPHeRe) results for OAEI 2013. In CEUR Workshop Proceedings. 184--189. Google ScholarDigital Library
- Nouha Kheder and Gayo Diallo. 2015. ServOMBI at OAEI 2015. Proceedings of the 10th International Workshop on Ontology Matching—Ontology Alignment Evaluation Initiative (2015). 1--6.Google Scholar
- Abderrahmane Khiat and Moussa Benaissa. 2014. InsMT/InsMTL results for OAEI 2014 instance matching. CEUR Workshop Proceedings (2014). 120--125. Google ScholarDigital Library
- Wacław Kuśnierczyk. 2008. Taxonomy-based partitioning of the Gene Ontology. Journal of Biomedical Informatics 41, 2 (2008), 282--292. Google ScholarDigital Library
- Sabine Massmann, Salvatore Raunich, David Aumüller, Patrick Arnold, and Erhard Rahm. 2011. Evolution of the COMA match system. CEUR Workshop Proceedings (2011). 49--60. Google ScholarDigital Library
- Cynthia Matuszek, John Cabral, Michael Witbrock, and John Deoliveira. 2006. An introduction to the syntax and content of Cyc. Proceedings of the 2006 AAAI Spring Symposium on Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering (2006). 44--49.Google Scholar
- Christian Meilicke. 2011. Alignment Incoherence in Ontology Matching - dissertation - meilicke. Ph.D. Dissertation. Universitat Mannheim.Google Scholar
- C. Meilicke and H. Stuckenschmidt. 2007. Analyzing mapping extraction approaches. CEUR Workshop Proceedings (2007). Google ScholarDigital Library
- C. Meilicke, H. Stuckenschmidt, and A. Tamilin. 2007. Repairing ontology mappings. In Proceedings of AAAI 67, 3 (2007), 1408--1423. Google ScholarDigital Library
- Sergey Melnik, Hector Garcia-Molina, and Erhard Rahm. 2002. Similarity flooding: A versatile graph matching algorithm. Data Engineering (2002), 117--128. Google ScholarDigital Library
- DuyHoa Ngo and Zohra Bellahsene. 2013. YAM++ - Results for OAEI 2013. CEUR Workshop Proceedings (2013). 211--218. Google ScholarDigital Library
- Duy Hoa Ngo and Zohra Bellahsene. 2016. Overview of YAM++ - (not) yet another matcher for ontology alignment task. Journal of Web Semantics 41 (2016), 30--49.Google ScholarCross Ref
- Khai Nguyen and Ryutaro Ichise. 2013. SLINT+ results for OAEI 2013 instance matching. CEUR Workshop Proceedings (2013). 177--183. Google ScholarDigital Library
- Mathias Niepert, Christian Meilicke, and Heiner Stuckenschmidt. 2010. A probabilistic-logical framework for ontology matching. In Proc. of AAAI (2010), 1413--1418. Google ScholarDigital Library
- Natalya F. Noy and Mark A. Musen. 2004. Specifying ontology views by traversal. The Semantic Web ISWC 2004 (2004). 713--725. Google ScholarDigital Library
- Fernando Osorno-Gutierrez, Norman W. Paton, and Alvaro A. A. Fernandes. 2013. Crowdsourcing feedback for pay-as-you-go data integration. CEUR Workshop Proceedings (2013). 32--37.Google Scholar
- Lorena Otero-Cerdeira, Francisco J. Rodríguez-Martínez, and Alma Gómez-Rodríguez. 2015. Ontology matching: A literature review. Expert Systems with Applications (2015), 949--971. Google ScholarDigital Library
- Jyotishman Pathak, Thomas M. Johnson, and Christopher G. Chute. 2009. Survey of modular ontology techniques and their applications in the biomedical domain. Integrated Computer-Aided Engineering 3 (2009), 225--242. Google ScholarDigital Library
- Heiko Paulheim, Sven Hertling, and Dominique Ritze. 2013. Towards evaluating interactive ontology matching tools. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2013). 31--45.Google ScholarCross Ref
- Pavel Shvaiko and Jerome Euzenat. 2008. Ten challenges of ontology matching. In Proceedings of the 7th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE’08). 1163--1181. Google ScholarDigital Library
- Adam Pease, Ian Niles, and John Li. 2002. The suggested upper merged ontology: A large ontology for the semantic web and its applications. Imagine (2002), 7--10.Google Scholar
- Catia Pesquita, Daniel Faria, Emanuel Santos, and Francisco M. Couto. 2013. To repair or not to repair: Reconciling correctness and coherence in ontology reference alignments. CEUR Workshop Proceedings (2013). 13--24. Google ScholarDigital Library
- Eric Peukert and S. Massmann. 2010. Comparing similarity combination methods for schema matching. Journal of GI Jahrestagung (2010), 692--701.Google Scholar
- Erhard Rahm. 2011. Towards large-scale schema and ontology matching. Schema Matching and Mapping (2011), 3--27.Google Scholar
- Cornelius Rosse and José L. V. Mejino. 2003. A reference ontology for biomedical informatics: The foundational model of anatomy. Journal of Biomedical Informatics 36, 6 (2003), 478--500. Google ScholarDigital Library
- F. Hamdi, B. Safar, C. Reynaud, and H. Zargayouna. 2009. Alignment-based partitioning of large-scale ontologies. Advances in Knowledge Discovery and Management. Studies in Computational Intelligence Series. Springer, Heidelberg.Google Scholar
- Emanuel Santos, Daniel Faria, Catia Pesquita, and Francisco M. Couto. 2015. Ontology alignment repair through modularization and confidence-based heuristics. PLoS ONE (2015), 1--17. arxiv:1307.5322Google Scholar
- Cristina Sarasua, Elena Simperl, and Natalya F. Noy. 2012. CrowdMap: Crowdsourcing ontology alignment with microtasks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7649 LNCS (2012). 525--541. Google ScholarDigital Library
- K. Saruladha and S. Ranjini. 2016. COGOM: COgnitive theory based ontology matching system. Procedia - Procedia Computer Science (2016), 301--308.Google Scholar
- Frederik C. Schadd and Nico Roos. 2014. Alignment evaluation of MaasMatch for the OAEI 2014 campaign. CEUR Workshop Proceedings 1317 (2014). 135--141. Google ScholarDigital Library
- Anne Schlicht and Heiner Stuckenschmidt. 2007. Criteria-based partitioning of large ontologies. Proceedings of the 4th International Conference on Knowledge Capture (2007). 171--172. Google ScholarDigital Library
- Anne Schlicht and Heiner Stuckenschmidt. 2008. A flexible partitioning tool for large ontologies. Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 (2008). 482--488. Google ScholarDigital Library
- Stefan Schulz, Ronald Cornet, and Kent Spackman. 2011. Consolidating SNOMED CT’s ontological commitment. Applied Ontology 6, 1 (2011), 1--11. Google ScholarDigital Library
- Julian Seidenberg, Julian Seidenberg, Alan Rector, and Alan Rector. 2006. Web ontology segmentation: Analysis, classification and use. WWW’06: Proceedings of the 15th International Conference on World Wide Web. 13--22. Google ScholarDigital Library
- Guohua Shen, Yinling Liu, Fei Wang, Jia Si, Zi Wang, Zhiqiu Huang, and Dazhou Kang. 2014. OMReasoner: Combination of multi-matchers for ontology matching: Results for OAEI 2014. CEUR Workshop Proceedings (2014). 142--148. Google ScholarDigital Library
- Feng Shi, Juanzi Li, Jie Tang, Guotong Xie, and Hanyu Li. 2009. Actively learning ontology matching via user interaction. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009). 585--600. Google ScholarDigital Library
- P. Shvaiko and J. Euzenat. 2013. Ontology matching: State of the art and future challenges. Knowledge and Data Engineering, IEEE (2013). 158--176. Google ScholarDigital Library
- Jomar Silva, Fernanda Araujo Baião, and Kate Revoredo. 2016. ALIN results for OAEI 2016. International Semantic Web Conference (ISWC 2016) (2016).Google Scholar
- Klaus Simon. 1988. An improved algorithm for transitive closure on acyclic digraphs. Theoretical Computer Science 58, 3 (1988), 325--346. Google ScholarDigital Library
- Alessandro Solimando, Ernesto Jimenez-Ruiz, and Giovanna Guerrini. 2017. Minimizing conservativity violations in ontology alignments: Algorithms and evaluation. Knowl. Inf. Syst. 51, 3 (2017), 775--819. Google ScholarDigital Library
- Rebecca Steorts, Samuel Ventura, Mauricio Sadinle, and Stephen Fienberg. 2014. A comparison of blocking methods for record linkage. Proceedings of the International Conference on Privacy in Statistical Databases 70, 3 (2014), 253--268. arxiv:1407.3191Google ScholarCross Ref
- Giorgos Stoilos, Giorgos Stamou, and Stefanos Kollias. 2005. A string metric for ontology alignment. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2005). 624--637. Google ScholarDigital Library
- Boontawee Suntisrivaraporn, Guilin Qi, Qiu Ji, and Peter Haase. 2008. A modularization-based approach to finding all justifications for OWL DL entailments. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2008). 1--15. Google ScholarDigital Library
- Axel Tenschert, Matthias Assel, Alexey Cheptsov, Georgina Gallizo, Emanuele Della Valle, and Irene Celino. 2009. Parallelization and distribution techniques for ontology matching in urban computing environments. CEUR Workshop Proceedings 551 (2009). 248--249. Google ScholarDigital Library
- Uthayasanker Thayasivam and Prashant Doshi. 2013. Speeding up batch alignment of large ontologies using MapReduce. Proceedings—2013 IEEE 7th International Conference on Semantic Computing (ICSC’13). 110--113. Google ScholarDigital Library
- Peng Wang. 2010. Lily-LOM: An efficient system for matching large ontologies with non-partitioned method. In CEUR Workshop Proceedings, Vol. 658. 69--72. Google ScholarDigital Library
- Mohamed T. Warith E. 2013. Introducing artificial neural network in ontology alignment process. Springer-Verlag, Berlin, 176--186.Google Scholar
- M. El-Abdi, H. Souid, M. Kachroudi, and S. Ben-Yahia. 2015. CLONA results for OAEI 2015. In Proceedings of the 10th Workshop on Ontology Matching ISWC 2015, USA 72, 1 (2015).Google Scholar
- Hang Zhang, Wei Hu, and Yu-zhong Qu. 2012. VDoc+: A virtual document based approach for matching large ontologies using MapReduce. Journal of Zhejiang University-SCIENCE C (Computers 8 Electronics) 13, 4 (2012), 257--267.Google ScholarCross Ref
- Yuanzhe Zhang, Xuepeng Wang, and Shizhu He. 2013. IAMA results for OAEI 2013. In Proceedings of the 8th International Workshop on Ontology Matching 1111 (2013), 45--47. Google ScholarDigital Library
Index Terms
- Large-Scale Ontology Matching: State-of-the-Art Analysis
Recommendations
Ontology matching with semantic verification
Automated Semantic Matching of Ontologies with Verification (ASMOV) is a novel algorithm that uses lexical and structural characteristics of two ontologies to iteratively calculate a similarity measure between them, derives an alignment, and then ...
Detecting and Correcting Conservativity Principle Violations in Ontology-to-Ontology Mappings
The Semantic Web – ISWC 2014AbstractIn order to enable interoperability between ontology-based systems, ontology matching techniques have been proposed. However, when the generated mappings suffer from logical flaws, their usefulness may be diminished. In this paper we present an ...
Towards ontology interoperability through conceptual groundings
OM'08: Proceedings of the 3rd International Conference on Ontology Matching - Volume 431The widespread use of ontologies raises the need to resolve heterogeneities between distinct conceptualisations in order to support interoperability. The aim of ontology mapping is, to establish formal relations between a set of knowledge entities which ...
Comments