KnE Engineering

ISSN: 2518-6841

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Information Seek and Retrieval Mechanisms Based on Interactive Dynamics Linking Technology

Published date: Oct 08 2018

Journal Title: KnE Engineering

Issue title: Breakthrough directions of scientific research at MEPhI: Development prospects within the Strategic Academic Units

Pages: 422–434

DOI: 10.18502/keg.v3i6.3023

Authors:
Abstract:

The paper discusses the approach to dynamic hypertext technology used for query expansion and development. Two schemes of links creation on the fly are presented. The first one, System controlled scheme, generates (computes) hypertext links on retrieved documents output phase. In the second one, User controlled scheme, terms in viewed document are highlighted (and can be further used as a query in selected resource by one click) in accordance with user profile. The link creation mechanism is specified parametrically through the specification of the resource and selected (i.e. controlled) by the user. Linking mechanism is considered as a component of IR&S process, well controlled by user thought graphic interface.

 

 

Keywords: Information Retrieval Interface; Dynamic Linking; Hypertext Technology; System-Human Information Processing; Dynamic Query Reformulation.

References:

[1] Furnas, G.W., et al., 1987. The Vocabulary Problem in Human-System Communication. Communications of the ACM, 30, 964-971.


[2] Tailor, R.S., 1968. Question-negotiation and information seeking in libraries. College and Research Libraries, 29, 178-194.


[3] Mizzaro, S., 1998. How many relevances in information retrieval? Interacting With Computers, 10 (3), 305-322.


[4] Saracevic, T., Spink, A. and Wu, M-M., 1997. Users and intermediaries in information retrieval: What are they talking about? User modeling. Proceedings of the Sixth International Conference, UM97. New York: Springer, 43-54.


[5] Ingwersen, P., Jarvelin, K., 2005. The Turn: Integration of Information Seeking and Retrieval in Context, Dordrecht:Springer.


[6] Ghorab, M.R., et al., 2013. Personalised Information Retrieval: survey and classification. User Modeling and User-Adapted Interaction, 23 (4), 381–443.


[7] Maksimov, N.V., et al., 2014. Documentary information-analytical system xIRBIS: Software. The state registration certificate of computer programs No. 2014619640 from 17.09.2014.


[8] Golovchinsky G., Chignell M.H., 1993. Queries-r-links: Graphical Markup for Text Navigation. In: Proceedings of INTERCHI’93, Amsterdam, 454-460.


[9] Automatic generation of hypertext links to multimedia topic objects, 1998. US Patent #US 5815830 A.


[10] Dynamic generation of contextual links in hypertext documents, 2000. US Patent # US 6122647 A.


[11] Fonseca, B.M., et al., 2005. Concept-based interactive query expansion. In: Proc. of the 14th ACM intl. conf. on Information and knowledge management, New York, 696-703.


[12] Grootjen, F.A., van der Weide, Th.P., 2006. Conceptual query expansion. Data & Knowledge Engineering, 56(2), 174-193.


[13] Stojanovic, N., 2005. Conceptual query refinement: The basic model. In: Proceedings of WISE2005, 404-417.


[14] Gauch, S., Chaffee, J. and Pretschner A., 2003. Ontology-Based Personalized Search and Browsing. Web Intelligence and Agent Systems, 1 (3/4), 219-234.


[15] Li, Y., Zhong, N., 2006. Mining Ontology for Automatically Acquiring Web User Information Needs. IEEE Transactions on Knowledge and Data Engineering, 18(4), 554- 568.


[16] Steichen, B., Lawless, S. and O’Connor, A., 2009. Dynamic hypertext generation for reusing open corpus content. In: the 20th ACM conference on Hypertext and hypermedia, Torino, Italy — June 29 - July 01, New York, 119-128.


[17] Bodner R., Chignell M., 1999. Dynamic Hypertext: Querying and Linking. ACM Computing Surveys, 31 (4), Article No. 15.


[18] Maksimov, N.V., Golitsyna O.L. and Usenko, A.L., 2014. The structure and components of the operational visual space for scientific interactive information retrieval. Journal on Scietific Visualization, 6 (4), 96–106.


[19] Golitsina O.L., et al., 2014. Semantic Identification of Text in the Class of Tasks of Information Retrieval. In: Proceedings of ICAI’14, WORLDCOMP’14, July 21-24, Las Vegas, 2014. Nevada:CRSEA Press, 47-52.


[20] Kopak, R.W., 1999. Functional link typing in hypertext. ACM Computing Surveys, 31 (4), Article No. 16.

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