Kemafor Ogan

Hasan, M., Ogan, K., & Starly, B. (2021). Hybrid Blockchain Architecture for Cloud Manufacturing-as-a-service (CMaaS) Platforms with Improved Data Storage and Transaction Efficiency. 49TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE (NAMRC 49, 2021), Vol. 53, pp. 594–605. https://doi.org/10.1016/j.promfg.2021.06.060

Evaluating Generalized Path Queries by Integrating Algebraic Path Problem Solving with Graph Pattern Matching. (2019). In Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-33220-4_8

Semantic query transformations for increased parallelization in distributed knowledge graph query processing. (2019). Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. https://doi.org/10.1145/3295500.3356212

Scalable Exploratory Search on Knowledge Graphs Using Apache Spark. (2018). 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE). https://doi.org/10.1109/wetice.2018.00036

Kim, H., Ravindra, P., & Anyanwu, K. (2017). A semantics-aware storage framework for scalable processing of knowledge graphs on hadoop. 2017 IEEE International Conference on Big Data (Big Data), 193–202. https://doi.org/10.1109/bigdata.2017.8257927

Type-based Semantic Optimization for Scalable RDF Graph Pattern Matching. (2017). Proceedings of the 26th International Conference on World Wide Web. https://doi.org/10.1145/3038912.3052655

Ravindra, P., Kim, H., & Anyanwu, K. (2015). Rewriting complex SPARQL analytical queries for efficient cloud-based processing. Proceedings 2015 IEEE International Conference on Big Data, 32–37. https://doi.org/10.1109/bigdata.2015.7363738

Anyanwu, K., Ravindra, P., & Kim, H. (2014). Algebraic optimization of RDF graph pattern queries on MapReduce. Large Scale and Big Data: Processing and Management, 183–227. https://doi.org/10.1201/b17112-7

Sessoms, M., & Anyanwu, K. (2014). Enabling a Package Query Paradigm on the Semantic Web: Model and Algorithms. In A. Hameurlain, J. Küng, & R. Wagner (Eds.), Transactions on Large-Scale Data- and Knowledge-Centered Systems XIII (pp. 1–32). https://doi.org/10.1007/978-3-642-54426-2_1

Ravindra, P., & Anyanwu, K. (2014). Nesting Strategies for Enabling Nimble MapReduce Dataflows for Large RDF Data. INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS, 10(1), 1–26. https://doi.org/10.4018/ijswis.2014010101

Maali, F., Ravindra, P., Anyanwu, K., & Decker, S. (2014). SYRql: A Dataflow Language for Large Scale Processing of RDF Data. In The Semantic Web – ISWC 2014 (pp. 147–163). https://doi.org/10.1007/978-3-319-11964-9_10

Anyanwu, K. (2013). A vision for SPARQL multi-query optimization on MapReduce. 2013 ieee 29th international conference on data engineering workshops (icdew), 25–26. https://doi.org/10.1109/icdew.2013.6547420

Anyanwu, K., Kim, H. S., & Ravindra, P. (2013). Algebraic Optimization for Processing Graph Pattern Queries in the Cloud. IEEE INTERNET COMPUTING, 17(2), 52–61. https://doi.org/10.1109/mic.2012.22

Kim, H., & Anyanwu, K. (2013). Optimizing queries over semantically integrated datasets on mapreduce platforms. 2013 IEEE International Conference on Big Data. https://doi.org/10.1109/bigdata.2013.6691788

Fu, H. Z., Kim, H., & Anyanwu, K. (2013). Scaling concurrency of personalized semantic search over large RDF data. 2013 IEEE International Conference on Big Data. https://doi.org/10.1109/bigdata.2013.6691622

Sessoms, M., & Anyanwu, K. (2013). SkyPackage: From Finding Items to Finding a Skyline of Packages on the Semantic Web. In Semantic Technology (pp. 49–64). https://doi.org/10.1007/978-3-642-37996-3_4

Hong, S., & Anyanwu, K. (2012). HIP: Information Passing for Optimizing Join-Intensive Data Processing Workloads on Hadoop. In Lecture Notes in Computer Science (pp. 384–391). https://doi.org/10.1007/978-3-642-32597-7_33

Scan-Sharing for Optimizing RDF Graph Pattern Matching on MapReduce. (2012). 2012 IEEE Fifth International Conference on Cloud Computing. https://doi.org/10.1109/cloud.2012.14

To nest or not to nest, when and how much. (2012). Proceedings of the 4th International Workshop on Semantic Web Information Management - SWIM '12. https://doi.org/10.1145/2237867.2237872

Ravindra, P., Kim, H. S., & Anyanwu, K. (2011). An Intermediate Algebra for Optimizing RDF Graph Pattern Matching on MapReduce. In The Semanic Web: Research and Applications (pp. 46–61). https://doi.org/10.1007/978-3-642-21064-8_4

CoSi. (2011). Proceedings of the 20th international conference companion on World wide web - WWW '11. https://doi.org/10.1145/1963192.1963291

Fu, H., & Anyanwu, K. (2011). Effectively Interpreting Keyword Queries on RDF Databases with a Rear View. In The Semantic Web – ISWC 2011 (pp. 193–208). https://doi.org/10.1007/978-3-642-25073-6_13

Chen, L., Gao, S., & Anyanwu, K. (2011). Efficiently Evaluating Skyline Queries on RDF Databases. In The Semanic Web: Research and Applications (pp. 123–138). https://doi.org/10.1007/978-3-642-21064-8_9

Kim, H. S., Ravindra, P., & Anyanwu, K. (2011). From SPARQL to MapReduce: The Journey Using a Nested TripleGroup
               Algebra. Proc. VLDB Endow., 4(12), 1426–1429. Retrieved from http://www.vldb.org/pvldb/vol4/p1426-kim.pdf

An agglomerative query model for discovery in linked data. (2010). Procceedings of the 13th International Workshop on the Web and Databases - WebDB '10. https://doi.org/10.1145/1859127.1859131

Fu, H., Gao, S., & Anyanwu, K. (2010). Disambiguating Keyword Queries on RDF Databases Using "Deep" Segmentation. 2010 IEEE Fourth International Conference on Semantic Computing, 236–243. https://doi.org/10.1109/ICSC.2010.90

Li, Q., Panetto, H., Berio, G., & Anyanwu, K. (2010). EI2N’10 & SeDeS’10 - PC Co-chairs Message. In R. Meersman, T. Dillon, & P. Herrero (Eds.), On the Move to Meaningful Internet Systems: OTM 2010 Workshops (pp. 180–181). https://doi.org/10.1007/978-3-642-16961-8_35

Li, Q., Panetto, H., Berio, G., & Anyanwu, K. (2010). EI2N’10 & SeDeS’10 - PC Co-chairs Message. In R. Meersman, T. Dillon, & P. Herrero (Eds.), On the Move to Meaningful Internet Systems: OTM 2010 Workshops (pp. 563–564). https://doi.org/10.1007/978-3-642-16961-8_79

Sridhar, R., Ravindra, P., & Anyanwu, K. (2009). RAPID: Enabling scalable ad-hoc analytics on the semantic web. Semantic web - iswc 2009, proceedings, 5823, 715–730. https://doi.org/10.1007/978-3-642-04930-9_45

Maduko, A., Anyanwu, K., Sheth, A., & Schliekelman, P. (2008). Graph Summaries for Subgraph Frequency Estimation. In S. Bechhofer, M. Hauswirth, J. Hoffmann, & M. Koubarakis (Eds.), The Semantic Web: Research and Applications. ESWC 2008. (pp. 508–523). https://doi.org/10.1007/978-3-540-68234-9_38

Anyanwu, K., Murukannaiah, P. K., & Maduko, A. (2008). Structure Discovery Queries in Disk-Based Semantic Web Databases. 2008 Fourth International Conference on Semantics, Knowledge and Grid, 336–342. https://doi.org/10.1109/SKG.2008.108

Estimating the cardinality of RDF graph patterns. (2007). Proceedings of the 16th international conference on World Wide Web  - WWW '07. https://doi.org/10.1145/1242572.1242782

SPARQ2L. (2007). Proceedings of the 16th international conference on World Wide Web  - WWW '07. https://doi.org/10.1145/1242572.1242680

SemRank. (2005). Proceedings of the 14th international conference on World Wide Web  - WWW '05. https://doi.org/10.1145/1060745.1060766

Semantic Association Identification and Knowledge Discovery for National Security Applications. (2005). Journal of Database Management. https://doi.org/10.4018/jdm.2005010103

Ρ-Queries:: enabling querying for semantic associations on the semantic web. (2003). Proceedings of the twelfth international conference on World Wide Web  - WWW '03. https://doi.org/10.1145/775152.775249

The ρ operator. (2002). ACM SIGMOD Record. https://doi.org/10.1145/637411.637418