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International Conference on Contemporary Computing

IC3 2009: Contemporary Computing pp 358–369Cite as

Measuring the Storage and Retrieval of Knowledge Units: An Empirical Study Using MES

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 40))

Abstract

Computer applications are smart that they require efficient storage and retrieval of data. Object-relational data models are the opted and the widely appreciable approach because of their power in object representation and relational retrieval. Two OR models were designed for representing knowledge units in the Music Expert System and three metrics were proposed to study the storage and retrieval of the knowledge units from the OR schemas. Experiments conducted to asses the storage efficiency and relational retrieval of the objects indicated significant results. The metrics were used to keep in check the size of the objects created during runtime and their relational coupling helped in the retrieval of objects, with minimal disk reads. The empirical results and interpretations concludes the work, focusing on the efficient design of OR schema models which commend the functioning of the system’s performance.

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References

  1. Alagarsamy, K., Justus, S., Iyakutti, K.: Implementation Specification of a SPI supportive Knowledge management Tool. IET Software 2(2), 123–133 (2008)

    Article  Google Scholar 

  2. Ammar, H.H., Yacoub, S.M., Robinson, T.: Dynamic metrics for object-oriented designs. In: 5th International Software Metrics Symposium, Boca Raton, Florida, USA, pp. 50–61 (1999)

    Google Scholar 

  3. García-Serrano, A., Martínez, P., Teruel, D.: Knowledge-modeling techniques in the e-commerce scenario (2001), www.csd.abdn.ac.uk/~apreece/ebiweb/papers/serrano.doc

  4. Arisholm, E., Briand, L.C., Foyen, A.: Dynamic coupling measures for object-oriented software. IEEE Transactions on Software Engineering 30(8), 491–506 (2004)

    Article  Google Scholar 

  5. Baroni, A.L., Calero, C., Abreu, F.B., Piatini, M.: Object relational Metrics Formalization. In: Sixth International Conference on Quality Software (2006), doi:ieeecomputersociety.org/10.1109/QSIC.2006.44

    Google Scholar 

  6. Baroni, A.L., Calero, C., Ruiz, F., eAbreu, F.B.: Formalizing Object-Relational Structural Metrics. In: 5th Portuguese Association of Information Systems Conference (2004), http://ctp.di.fct.unl.pt/QUASAR/Resourses/Paper/2004/baroni5CAPSI.pdf

  7. Calero, C., Ruiz, F., Baroni, A., Brito, A.F., Piattini, M.: An Ontological approach to describe the SQL: 2003 Object-Relational Features. International J. Computer Standards & Interfaces 28, 695–713 (2006)

    Article  Google Scholar 

  8. David, P., Kemerer, C.F., Sandra, A.S., James, E.T.: The Structural Complexity of Software: An Experimental Test. IEEE Transactions on Software Engineering 31(11), 982–995 (2005)

    Article  Google Scholar 

  9. Elmasri, Navathe, Somayajulu, Gupta: Fundamentals of Database systems, 4th edn. Pearson Education, Dorling Kindersley (2007)

    Google Scholar 

  10. Henderson-Sellers, B.: Object-oriented Metrics - Measures of Complexity. Prentice-Hall, Upper Saddle River (1996)

    Google Scholar 

  11. Justus, S., Iyakutti, K.: Assessing the Object-level Behavioral Complexity in Object Relational Databases. In: 3rd International Conference on Software Science, Technology and Engineering, Israel, pp. 48–59 (2007), doi:ieeecomputersociety.org/10.1109/SWSTE.2007.6

    Google Scholar 

  12. Justus, S., Iyakutti, K.: Object Relational Database Metrics: Classified and Evaluated. In: International Workshop on Software Engineering, Potsdam, Germany, pp. 119–131 (2007) ISBN-10: 3-8322-5611-3

    Google Scholar 

  13. Justus, S.: Data Mining for Music Distribution. In: National Conference on Datamining, India (2004)

    Google Scholar 

  14. Long, D., Brandt, S., Miller, E., Wang, F., Lin, Y., Xue, L., Xin, Q.: Design and implementation of large scale object-based storage system. Technical Report ucsc-crl-02-35, University of California, Santa Cruz (2002)

    Google Scholar 

  15. Michura, J., Capretz, M.A.M.: Metrics Suite for Class Complexity. In: International Conference on Information Technology Coding and Computing (ITCC 2005) (2005)

    Google Scholar 

  16. Moris. K.: Metrics for object oriented software development, Masters Thesis, M.I.T Sloan School of Management, Cambridge, MA (1998)

    Google Scholar 

  17. Noy, N.F., Fergerson, R.W., Musen, M.A.: The knowledge model of Protégé-2000: combining interoperability and flexibility (2000), http://pms.ifi.lmu.de/mitarbeiter/ohlbach/Ontology/Protege/SMI-2000-0830.pdf

  18. Zhang, N., Ritter, N., Härder, T.: Enriched Relationship Processing in Object-Relational Database Management Systems. In: Third International Symposium on Cooperative Database Systems for Advanced Applications (2001)

    Google Scholar 

  19. Nguyen, P.H.P., Corbett, D.: A Basic Mathematical Framework for Conceptual graphs. IEEE Transactions on Knowledge and Data Engineering 18(2), 261–271 (2006)

    Article  Google Scholar 

  20. Piattini, M., Calero, C., Sahraoui. H., Lounis H.: Object-Relational Database Metrics, L’object (March 2001), www.iro.umontreal.ca/~sahraouh/papers/lobjet00_1.pdf

  21. Liu, Q., Feng, D., Qin, L.-j., Zeng, L.-f.: A Framework for Accessing General Object Storage. In: International Workshop on Networking, Architectures, and Storages (2006), doi:ieeexplore.ieee.ord/10.1109/IWNAS.2006.8

    Google Scholar 

  22. Weil, S.A., Wang, F., Xin, Q., Brandt, S.A., Miller, E.L., Long, D.D.E., Maltzahn, C.: Ceph: A Scalable Object-Based Storage System. Technical Report UCSC-SSRC-06-01, Storage Systems Research Center, Baskin School of Engineering, University of California, Santa Cruz, CA (March 2006)

    Google Scholar 

  23. Morasca, S.: Software Measurement. In: Handbook of Software Engineering and Knowledge Engineering - Volume 1: Fundamentals (refereed book), Knowledge Systems Institute, Skokie, IL, USA, pp. 239—276 (2001)

    Google Scholar 

  24. Sears, R., van Catherine, I., Jim, G.: To BLOB or not to BLOB: Large Object Storage in a Database or a Filesystem. Technical Report, MSR-TR-2006-45, Redmond (2006)

    Google Scholar 

  25. Sowa, J.F.: Knowledge Representation: Logical, Philosophical, and Computational Foundations. Brooks Cole Publishing Co., Pacific Grove (2000)

    Google Scholar 

  26. Sowa, J.F.: Conceptual Graphs for a Data Base Interface. IBM J. of Research and Development 20(4), 336–357 (1976)

    Article  Google Scholar 

  27. Torgeir, D., Reidar, C.: A Survey of Case Studies of the Use of Knowledge Management in Software Engineering. Intl. J. Software Engineering and Knowledge Engineering 12(4), 391–414 (2002)

    Article  Google Scholar 

  28. Han, W.-S., Whang, K.-Y., Moon, Y.-S.: A Formal Framework for Pre-fetching based on the Type-Level Access Pattern in Object-Relational DBMSs. IEEE Transactions on Knowledge and Data Engineering 17(10), 1436–1448 (2005)

    Article  Google Scholar 

  29. Zusc, H.: Properties of Software measures. Software Quality J. 1, 255–260 (1992)

    Google Scholar 

  30. Wikipedia, http://en.wikipedia.org/wiki/Chord_%28music%29

  31. 8notes, http://www.8notes.com/resources/notefinders/piano_chords.asp

  32. Bedrockband, http://www.bedrockband.com/CTheory.htm

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Author information

Authors and Affiliations

  1. Department of Computer Applications, K.L.N. College of Info. Tech., Madurai, Tamilnadu, India

    Selwyn Justus

  2. Department of Mircoprocessor & Computer, Madurai Kamaraj University, Madurai, Tamilnadu, India

    K. Iyakutti

Authors
  1. Selwyn Justus
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  2. K. Iyakutti
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Editor information

Editors and Affiliations

  1. Dept. of Computer Sciences, University of Florida, Gainesville, FL, 32611, USA

    Sanjay Ranka

  2. Laurence H. Baker Center for Bioinformatics and Biological Statistics, Iowa State University, USA

    Srinivas Aluru

  3. Grid Computing and Distributed Systems Laboratory and, NICTA Victoria Laboratory, Department of Computer Science and Software Engineering, The University of Melbourne, Australia

    Rajkumar Buyya

  4. Department of Computer Science, National Tsing Hua University, Taiwan

    Yeh-Ching Chung

  5. Computer Science, College of Engineering and Science, Louisiana Tech University, Ruston, LA, 71272, USA

    Sumeet Dua  & Vir V. Phoha  & 

  6. Department of Computer Sciences, Purdue University, W. Lafayette, IN, 47907, USA

    Ananth Grama

  7. Arizona State University, Tempe, AZ, 85281, USA

    Sandeep K. S. Gupta

  8. Computer Science and Engineering Department, Indian Institute of Technology Kharagpur, 721 302, WB, India

    Rajeev Kumar

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© 2009 Springer-Verlag Berlin Heidelberg

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Justus, S., Iyakutti, K. (2009). Measuring the Storage and Retrieval of Knowledge Units: An Empirical Study Using MES. In: Ranka, S., et al. Contemporary Computing. IC3 2009. Communications in Computer and Information Science, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03547-0_34

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  • DOI: https://doi.org/10.1007/978-3-642-03547-0_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03546-3

  • Online ISBN: 978-3-642-03547-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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