Skip to main content
View expanded cover

International Conference on Knowledge Science, Engineering and Management

KSEM 2014: Knowledge Science, Engineering and Management pp 186–197Cite as

Combining Bottom-Up and Top-Down Generation of Interactive Knowledge Maps for Enterprise Search

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNAI,volume 8793)

Abstract

Our research project develops an intranet search engine with concept-browsing functionality, where the user is able to navigate the conceptual level in an interactive, automatically generated knowledge map. This knowledge map visualizes tacit, implicit knowledge, extracted from the intranet, as a network of semantic concepts. Inductive and deductive methods are combined; a text analytics engine extracts knowledge structures from data inductively, and the enterprise ontology provides a backbone structure to the process deductively. In addition to performing conventional keyword search, the user can browse the semantic network of concepts and associations to find documents and data records. Also, the user can expand and edit the knowledge network directly. As a vision, we propose a knowledge-management system that provides concept-browsing, based on a knowledge warehouse layer on top of a heterogeneous knowledge base with various systems interfaces. Such a concept browser will empower knowledge workers to interact with knowledge structures.

Keywords

  • knowledge technology
  • knowledge engineering
  • concept extraction
  • enterprise ontology
  • enterprise search
  • concept browsing

This is a preview of subscription content, access via your institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-12096-6_17
  • Chapter length: 12 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   59.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-12096-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   79.99
Price excludes VAT (USA)
Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Margolis, E., Laurence, S.: Concepts. In: Zalta, E.N. (ed.) The Stanford Encyclopedia of Philosophy (2014)

    Google Scholar 

  2. Guarino, N.: Formal Ontology, Conceptual Analysis and Knowledge Representation. Int. J. Hum-Comput. Stud. 43, 625–640 (1995)

    CrossRef  Google Scholar 

  3. Österle, H., Becker, J., Frank, U., Hess, T., Karagiannis, D., Krcmar, H., Loos, P., Mertens, P., Oberweis, A., Sinz, E.J.: Memorandum on design-oriented information systems research. Eur. J. Inf. Syst. 20, 7–10 (2010)

    CrossRef  Google Scholar 

  4. Preece, A., Flett, A., Sleeman, D., Curry, D., Meany, N., Perry, P.: Better knowledge management through knowledge engineering. IEEE Intell. Syst. 16, 36–43 (2001)

    CrossRef  Google Scholar 

  5. Shadbolt, N.: Knowledge Technologies. Ingenia R. Acad. Eng. 58–61 (2001)

    Google Scholar 

  6. Milton, N., Shadbolt, N., Cottam, H., Hammersley, M.: Towards a knowledge technology for knowledge management. Int. J. Hum.-Comput. Stud. 51, 615–641 (1999)

    CrossRef  Google Scholar 

  7. Yacci, M.: The Knowledge Warehouses Reusing Knowledge Components. Perform. Improv. Q. 12, 132–140 (1999)

    CrossRef  Google Scholar 

  8. Frisch, A.M.: Knowledge Retrieval as Specialized Inference. Ph.D Thesis, University of Rochester (1986)

    Google Scholar 

  9. Nemati, H.R., Steiger, D.M., Iyer, L.S., Herschel, R.T.: Knowledge warehouse: an architectural integration of knowledge management, decision support, artificial intelligence and data warehousing. Decis. Support Syst. 33, 143–161 (2002)

    CrossRef  Google Scholar 

  10. Nilsson, M., Palmér, M.: Conzilla - Towards a Concept Browser (No. CID-53, TRITA-NA-D9911). Stockholm: Centre for User Oriented IT Design, Dept. Computing Science, Royal Institute of Technology KTH (1999)

    Google Scholar 

  11. Pfeifer, R., Scheier, C.: Understanding Intelligence. MIT Press (2001)

    Google Scholar 

  12. Eysenck, M.W., Keane, M.T.: Cognitive Psychology: A Student’s Handbook, 4th edn. Psychology Press (2000)

    Google Scholar 

  13. McClelland, J.L., Cleeremans, A.: Consciousness and Connectionist Models. In: McClelland, J.L., Bayne, T., and Wilken, P. (eds.) The Oxford Companion to Consciousness. Oxford University Press (2009)

    Google Scholar 

  14. Cudré-Mauroux, P., Liu, L., Özsu, M.T.: Emergent Semantics. Encyclopedia of Database Systems, pp. 982–985

    Google Scholar 

  15. Portmann, E., Pedrycz, W.: Fuzzy Web Knowledge Aggregation, Representation, and Reasoning for Online Privacy and Reputation Management. In: Papageorgiou, E.I. (ed.) Fuzzy Cognitive Maps for Applied Sciences and Engineering. ISRL, vol. 54, pp. 89–105. Springer, Heidelberg (2014)

    CrossRef  Google Scholar 

  16. Maedche, A., Staab, S.: Ontology learning for the Semantic Web. IEEE Intell. Syst. 16, 72–79 (2001)

    CrossRef  Google Scholar 

  17. Parameswaran, A., Garcia-Molina, H., Rajaraman, A.: Towards the Web of Concepts: Extracting Concepts from Large Datasets. Proc VLDB Endow. 3, 566–577 (2010)

    CrossRef  Google Scholar 

  18. Deerwester, S.: Improving Information Retrieval with Latent Semantic Indexing. Presented at the Proceedings of the 51st ASIS Annual Meeting (ASIS 1988) (October 23, 1988)

    Google Scholar 

  19. Ganter, B., Bock, H.H.: Software for formal concept analysis. Classification as a tool of research, pp. 161–167. North-Holland, Amsterdam (1986)

    Google Scholar 

  20. Portmann, E., Kaufmann, M.A., Graf, C.: A Distributed, Semiotic-inductive, and Human-oriented Approach to Web-scale Knowledge Retrieval. In: Proceedings of the 2012 International Workshop on Web-scale Knowledge Representation, Retrieval and Reasoning, pp. 1–8. ACM, New York (2012)

    CrossRef  Google Scholar 

  21. Hinkelmann, K., Merelli, E., Thönssen, B.: The Role of Content and Context in Enterprise Repositories. Presented at the 2nd International Workshop on Advanced Enterprise Architecture and Repositories (AER) (2010)

    Google Scholar 

  22. Thönssen, B.: An Enterprise Ontology Building the Bases for Automatic Metadata Generation. In: Sánchez-Alonso, S., Athanasiadis, I.N. (eds.) MTSR 2010. CCIS, vol. 108, pp. 195–210. Springer, Heidelberg (2010)

    CrossRef  Google Scholar 

  23. The Open Group: ArchiMate 2.1 Specification, http://pubs.opengroup.org/architecture/archimate2-doc/

  24. Martin, A., Emmenegger, S., Wilke, G.: Integrating an enterprise architecture ontology in a case-based reasoning approach for project knowledge. In: Proceedings of the Enterprise Systems Conference, ES (2013)

    Google Scholar 

  25. Thönssen, B.: Automatic, Format-independent Generation of Metadata for Documents Based on Semantically Enriched Context Information. Ph.D Thesis, University of Camarino (2013)

    Google Scholar 

  26. Ichikawa, J.J., Steup, M.: The Analysis of Knowledge. In: Zalta, E.N. (ed.) The Stanford Encyclopedia of Philosophy (2014)

    Google Scholar 

  27. Hawthorne, J.: Inductive Logic. In: Zalta, E.N. (ed.) The Stanford Encyclopedia of Philosophy (2012)

    Google Scholar 

  28. Shi, L., Griffiths, T.L.: Neural implementation of hierarchical bayesian inference by importance sampling. Advances in Neural Information Processing Systems 22, 1669–1677 (2009)

    Google Scholar 

  29. Kaufmann, M.: Inductive Fuzzy Classification in Marketing Analytics. Springer (2014)

    Google Scholar 

  30. The Apache Software Foundation: Apache Lucene - Apache Lucene Core, http://lucene.apache.org/core/

  31. Agrawal, R., Imieliński, T., Swami, A.: Mining Association Rules Between Sets of Items in Large Databases. In: Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, pp. 207–216. ACM, New York (1993)

    CrossRef  Google Scholar 

  32. Zadeh, L.A.: Fuzzy sets. Inf. Control. 8, 338–353 (1965)

    MathSciNet  CrossRef  MATH  Google Scholar 

  33. Hilbert, M., López, P.: The World’s Technological Capacity to Store, Communicate, and Compute Information. Science 332, 60–65 (2011)

    CrossRef  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Lucerne University of Applied Sciences and Arts, Horw, Switzerland

    Michael Kaufmann

  2. University of Applied Sciences North-Western Switzerland, Olten, Switzerland

    Gwendolin Wilke & Knut Hinkelmann

  3. University of Bern, Switzerland

    Edy Portmann

Authors
  1. Michael Kaufmann
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gwendolin Wilke
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Edy Portmann
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Knut Hinkelmann
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Faculty of Computer Science, Knowledge Engineering Research Group, University of Vienna, Währingerstr. 29, 1090, Vienna, Austria

    Robert Buchmann

  2. Faculty of Engineering, Research Center for Sustainable Products and Processes, Lucian Blaga University of Sibiu, 10 Victoriei Blv., 550024, Sibiu, Romania

    Claudiu Vasile Kifor

  3. Department of Computer Science, Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Haidian District, 100044, Beijing, China

    Jian Yu

Rights and permissions

Reprints and Permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Kaufmann, M., Wilke, G., Portmann, E., Hinkelmann, K. (2014). Combining Bottom-Up and Top-Down Generation of Interactive Knowledge Maps for Enterprise Search. In: Buchmann, R., Kifor, C.V., Yu, J. (eds) Knowledge Science, Engineering and Management. KSEM 2014. Lecture Notes in Computer Science(), vol 8793. Springer, Cham. https://doi.org/10.1007/978-3-319-12096-6_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-12096-6_17

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12095-9

  • Online ISBN: 978-3-319-12096-6

  • eBook Packages: Computer ScienceComputer Science (R0)