SCALE AND THE CLASSIFICATORY DIMENSION - A Linguistic Approach to Contextual IR

Esben Alfort

Abstract

Users of information retrieval systems presumably have (subconscious) reasons for choosing certain ways of formulating their queries. Consequently, the words used may tell us something about the users’ intentions. However, researchers in Contextual IR have a strong emphasis on computational solutions and tend to ignore a careful linguistic analysis of the actual queries. As a first step towards such a linguistic treatment, I suggest that we treat classification as a dimension parallel to space and time and learn from our experience with these dimensions in trying to cope with subjectivity in connection with IR systems.

References

  1. Alfort, E., 2009. Subjektiv og objektiv referenceklassifikation i analyser af kommunikation og tekst. Master's Thesis, University of Copenhagen.
  2. Bloom, P. & Kelemen, D., 1995. Syntactic cues in the acquisition of collective nouns. Cognition, 56, pp. 1- 30.
  3. Borlund, P., 2003. The concept of relevance in IR. Journal of the American Society for Information Science and Technology, 54 (10), pp. 913-925.
  4. Brown, R., 1958. How shall a thing be called? Psychological Review, 65, pp. 14-21.
  5. Daoud, M., Tamine-Lechani, L., Duy, D. B. & Boughanem, M., 2009. Towards a graph-based user profile modeling for a session-based personalized search. Knowledge and Information Systems, 21, pp. 365-398.
  6. Jansen, B.J., Booth, D.L. & Spink, A., 2008. Determining the informational, navigational, and transactional intent of Web queries. Information Processing and Management, 44, pp. 1251-1266.
  7. Langacker, R.W., 2006. On the continuous debate about discreteness. Cognitive Linguistics, 17 (1), pp. 107- 151.
  8. Murphy, G. L., & Lassaline, M. E., 1997. Hierarchical structure in concepts and the basic level of categorization. In K. Lamberts, & D. Shanks (eds), Knowledge, Concepts, and Categories, pp. 93-132. Psychology Press.
  9. Phinitkar, P. & Sophatsathit, P., 2010. Personalization of search profile using ant foraging approach. Lecture Notes in Computer Science 6019, International Conference on Computation Science and Its Applications (ICCSA2010), pp. 209-224. Springer Verlag.
  10. Rosch, E., Mervis, C., Gray, W., Johnson, D. & BoyesBraem, P., 1976. Basic level objects in natural categories. Cognitive Psychology, 8, pp. 382-439.
  11. Tamine-Lechani, L., Boughanem, M. & Daoud, M., 2010. Evaluation of contextual information retrieval effectiveness: overview of issues and research. Knowledge and Information Systems, 24, pp. 1-34.
  12. Tarski, A., 1929. Foundations of the geometry of solids, reprinted in Tarski, 1982, pp. 24-29.
  13. Tarski, A., 1982. Logic, Semantics, Metamathematics. Hackett Publishing Co, 2nd edition.
  14. Wisniewski, E. J., Lamb, C. A., & Middleton, E. L., 2003. On the conceptual basis for the count and mass noun distinction. Language and Cognitive Processes, 18 (5/6), pp. 583-624.
Download


Paper Citation


in Harvard Style

Alfort E. (2010). SCALE AND THE CLASSIFICATORY DIMENSION - A Linguistic Approach to Contextual IR . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010) ISBN 978-989-8425-29-4, pages 370-373. DOI: 10.5220/0003078803700373


in Bibtex Style

@conference{keod10,
author={Esben Alfort},
title={SCALE AND THE CLASSIFICATORY DIMENSION - A Linguistic Approach to Contextual IR},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)},
year={2010},
pages={370-373},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003078803700373},
isbn={978-989-8425-29-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)
TI - SCALE AND THE CLASSIFICATORY DIMENSION - A Linguistic Approach to Contextual IR
SN - 978-989-8425-29-4
AU - Alfort E.
PY - 2010
SP - 370
EP - 373
DO - 10.5220/0003078803700373