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Cognitive traveling in digital space: from keyword search through exploratory information seeking

Pavol Navrat
  • Institute of Informatics and Software Engineering, Slovak University of Technology, Bratislava, Slovakia
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Published Online: 2012-11-04 | DOI: https://doi.org/10.2478/s13537-012-0024-6

Abstract

This paper surveys principal concepts involved in various approaches to web search. There are many attempts to improve key word search. There is the concept of exploratory search, which represents a shift towards more complex view of the interested fellow’s role, widening her options. We propose a more radical shift towards viewing information seeking as cognitive traveling in the digital information space involving both web and digital libraries.

Keywords: keyword search; exploratory search; cognitive traveling; social web; semantic web; digital space; digital library; interested fellow

  • [1] Andrejko A., Novel approaches to acquisition and maintenance of user model, Information Sciences and Technologies Bulletin of the ACM Slovakia, 1, 1–10, 2009

  • [2] Andrejko A., Bieliková M., Comparing instances of ontological concepts for personalized recommendation, Comput. Inform., 28, 429–452, 2009

  • [3] Babič F., Paralič J., Furdík K., Bednár P., Wagner J., Use of semantic principles in a collaborative system in order to support effective information retrieval, Lect. Notes Artif. Int., 5796, 365–376, 2009

  • [4] Babič F., Paralič J., Raček M., Wagner J., Analyzes Of interactions and context of performed actions in intelligent virtual environment, Amb. Int. Perspect., 2, 137–144, 2010

  • [5] Baeza-Yates R., Calderon-Benavides L., Gonzales-Caro C., The intention behind web queries, In: Crestani F., Ferragina P., Sanderson M. (Eds.), Lect. Notes Comput. Sc., 4209, 98–108, 2006

  • [6] Bai J., Nie J., Adapting information retrieval to query contexts, Inform. Process Manag., 44, 1901–1922, 2008 http://dx.doi.org/10.1016/j.ipm.2008.07.006 [Crossref]

  • [7] Bao S. et al., Optimizing web search using social annotations, In: Williamson C.L., Zurko M.E., Patel-Schneider P.F., Shenoy P.J. (Eds.), www 2007 Proceedings of the 16th international conference on world wide web, (May 2007, Banff, Alberta, Canada), ACM, New York, USA, 501–510, 2007 http://dx.doi.org/10.1145/1242572.1242640 [Crossref]

  • [8] Barla M., Tvarožek M., Bieliková M., Rule-based user characteristics acquisition from logs with semantics for personalized web systems, Comput. Inform., 28, 399–427, 2009

  • [9] Barla M., Towards social-based user modeling and personalization, Information Sciences and Technologies Bulletin of the ACM Slovakia, 3, 52–60, 2011

  • [10] Barry S., Briggs P., Coyle M., O’Mahony M.P., Google shared. A case-study in social search, In: Houben G.-J., McCalla G.I., Pianesi F., Zancanaro M. (Eds.), Proceedings of the 17th international conference UMAP 2009, (June 2009, Trento, Italy), Lect. Notes Comput. Sc., 283–294, 2009

  • [11] Bartalos P., Bieliková M., Fast and scalable semantic web service composition approach considering complex pre/postconditions, In: Services 2009: 2009 IEEE Congress On Services, (July 2009, Los Angeles, CA, USA), IEEE Computer Society, 414–421, 2009

  • [12] Bates M., The Design of Browsing and Berrypicking Techniques for the Online Search Interface. Online Review, 13, 407–424, 1989 http://dx.doi.org/10.1108/eb024320 [Crossref]

  • [13] Berners-Lee T., et al., Tabulator: Exploring and analyzing linked data on the semantic web, In: Proc. of Int. Semantic Web User Interaction Workshop (November 2006, Athens, Georgia, USA)

  • [14] Bieliková M., Divéky M., Jurnečka P., Kajan R., Omelina L., Automatic Generation Of Adaptive, Educational And Multimedia Computer Games, Signal, Image And Video Processing, Springer London, 2, 371–384, 2008

  • [15] Bieliková M., Navrat P., Adaptive Web-Based Portal For Effective Learning Programming, Commun. Cognition, 42, 75–88, 2009

  • [16] Bieliková M., Nagy P., Considering Human Memory Aspects For Adaptation And Its Realization In Aha!, Innovative Approaches For Learning And Knowledge Sharing, 1st European Conf. On Technology Enhanced Learning, Lect. Notes Comput. Sc., 4227, 8-20, 2006

  • [17] Bordogna G., Campi A., Ronchi S., Psaila G., Query disambiguation based on novelty and similarity user’s feedback, In WI-IAT’ 09: Proceedings of the 2009 IEEE/WIC/ACM WI-IAT, (September 2009, Milan, Italy), IEEE CS, 125–128, 2009

  • [18] Braak P., Abdullah N., Xu Y., Improving the performance of collaborative filtering recommender systems through user profile clustering, In WI-IAT’ 09: Proceedings of the 2009 IEEE/WIC/ACM WI-IAT, (September 2009, Milan, Italy), IEEE CS, 147–150, 2009

  • [19] Broder A., A taxonomy of web search, Sigir Forum, 36, 3–10, 2002 http://dx.doi.org/10.1145/792550.792552 [Crossref]

  • [20] Brusilovsky P., Henze N., Open Corpus Adaptive Educational Hypermedia, In The Adaptive Web, Lect. Notes Comput. Sc., 4321, 671–696, 2007

  • [21] Butka P., Use Of FCA In The Ontology Extraction Step For The Improvement Of The Semantic Information Retrieval, In: Proc. Of Sofsem 2006: Theory And Practice Of Computer Science, Proceedings Volume II, Měřín, Czech Republic, 74–82, 2006

  • [22] Butka P., Sarnovský M., Bednár P., One Approach To Combination of FCA-Based Local Conceptual Models For Text Analysis — Grid-Based Approach, In: Proc. Of IEEE Int. Symp. On Applied Machine Intelligence, 131–135, 2008

  • [23] Chi E. H., Information Seeking can be Social, In: National Science Foundation workshop on Information-Seeking Support Systems, (June 2008, Chapel Hill, NC, USA), 39–45

  • [24] Chirita P., Firan C.S., Nejdl W., Summarizing local context to personalize global web search, In: Proceedings of the 15th ACM international Conference on information and Knowledge Management CIKM’ 06, (November 2006, Arlington VA, USA), ACM, New York, USA, 287–296, 2006

  • [25] Chirita P., Firan C.S., Nejdl W., Personalized Query Expansion For The Web, In: Proceedings of the 30th Annual international ACM SIGIR Conference on Research and Development in information Retrieval, SIGIR’ 07, (July 2007, Amsterdam, Netherlands), ACM, New York, USA, 7–14, 2007 http://dx.doi.org/10.1145/1277741.1277746 [Crossref]

  • [26] Daoud M., Tamine-Lechani L., Boughanem M., Chebaro B., A session based personalized search using an ontological user profile, In: Proceedings of the 2009 ACM Symposium on Applied Computing SAC’ 09, (March 2009, Honolulu, HI, USA), ACM, New York, USA 1732–1736, 2009 http://dx.doi.org/10.1145/1529282.1529670 [Crossref]

  • [27] Dlugolinsky S., Laclavik M., Hluchý L., Towards a Search System for the Web Exploiting Spatial Data of a Web Document, In: Tjoa A.M., Wagner R. (Eds.), Proceedings of the 2010 Workshops on Database and Expert Systems Applications (DEXA’ 10), (August 2010, Bilbao, Spain), IEEE Computer Society, Washington, DC, USA, 27–31, 2010

  • [28] Dörk M., Carpendale S., Collins C., Williamson C., VisGets: Coordinated visualizations for web-based information exploration and discovery, IEEE T. Vis. Comput. Gr., 14, 1205–1212, 2008 http://dx.doi.org/10.1109/TVCG.2008.175 [Crossref]

  • [29] Dreher H., Williams R., Assisted Query Formulation Using Normalised Word Vector and Dynamic Ontological Filtering, In: Legind Larsen H. et at. (Eds.): FQAS 2006, Lect. Notes Artif. Int., 4027, 282–294, 2006

  • [30] Evans B.H., Chi E.H., An elaborated model of social search, Inform. Process Manag., 46, 656–678, 2010 http://dx.doi.org/10.1016/j.ipm.2009.10.012 [Crossref]

  • [31] Furdík K., Paralič J., Babič F., Butka P., Bednár P., Design And Evaluation Of A Web System Supporting Various Text Mining Tasks For The Purposes Of Education And Research, Acta Electrotechnica et Informatica, 10, 51–58, 2010

  • [32] Guha R., McCool R., Miller E., Semantic Search, In: Proceedings of the 12th International Conference on World Wide Web, (May 2003, Budapest, Hungary), ACM Press, New York, NY, USA, 700–709, 2003

  • [33] Haake J.M. et al., Modeling and Exploiting Context for Adaptive Collaboration, Int. J. Coop. Inf. Syst., 19(1–2), 71–120, 2010 http://dx.doi.org/10.1142/S0218843010002115 [Crossref]

  • [34] Halanová Z., Návrat P., Rozinajová V., A Tool For Searching The Semantic Web For Supplies Matching Demands, Commun. Cognition ARTIF INT, E-Learning III And The Knowledge Society, 23, 77–82, 2006

  • [35] Heckmann D. et al., The User Model and Context Ontology GUMO revisited for future Web 2.0 Extensions, Contexts and Ontologies: Representation and Reasoning, 37–46, 2007

  • [36] Hendler J., Shadbolt N., Hall W., Berners-Lee T., Weitzner D., Web science: an interdisciplinary approach to understanding the web, COMMUN ACM, 51, 60–69, 2008 http://dx.doi.org/10.1145/1364782.1364798 [Crossref]

  • [37] Ingwersen, P., The user in interactive information retrieval evaluation, In: Melucci, M., Baeza-Yates, R. (Eds.), Advanced Topics in Information Retrieval, The Information Retrieval Series 33, Springer, 83–107, 2011

  • [38] Jansen B.J., Spink A., Bateman J., Saracevic T., Real life information retrieval: a study of user queries on the Web, Sigir Forum, 32, 5–17, 1998 http://dx.doi.org/10.1145/281250.281253 [Crossref]

  • [39] Joachims T., Radlinski F., Search Engines that Learn from Implicit Feedback, IEEE Comput., 40, 34–40, 2007 http://dx.doi.org/10.1109/MC.2007.289 [Crossref]

  • [40] Kajaba M., Navrat P., Chuda D., A Simple Personalization Layer Improving Relevancy of Web Search, Comput. Infor. Syst. J., 13, 29–35, 2009

  • [41] Kawsar F., Fujinami K., Pirttikangas S., Nakajima T., Personalization and Context Aware Services: A Middleware Perspective, In: Proceedings of the 2nd International Workshop on Personalized Context Modeling and Management for Ubicomp Applications (UbiPCMM) in conjunction with Ubicomp 2006, (September 2006, Orange County, CA, USA)

  • [42] Koutrika G., Ioannidis Y., A Unified User Profile Framework for Query Disambiguation and Personalization, In: Brusilovsky P., Callaway C., Nurnberger A. (Eds.), Proc. Workshop on New Technologies for Personalized Information Access, part of the 10th International Conference on User Modeling (UM’05), (July 2005, Edinburgh, Scotland, UK), 44–53, 2005

  • [43] Kraft R., Chang C.C., Maghoul F., Kumar R., Searching With Context. In: Carr L., De Roure D., Iyengar A., Goble C.A., Dahlin M. (Eds.), In: Proceedings of the 15th International Conference on World Wide Web www’ 06, (May 2006, Edinbugh, Scotland, UK), ACM, New York, USA, 477–486, 2006 http://dx.doi.org/10.1145/1135777.1135847

  • [44] Kules B., Capra R., Banta M., Sierra T., What do exploratory searchers look at in a faceted search interface?, In: Proceedings of the 9th ACM/IEEE-CS JCDL’ 09, (June 2009, Austin, TX, USA), ACM, New York, USA, 313–322, 2009

  • [45] Laclavík M., Šeleng M., Hluchý L., Towards Large Scale Semantic Annotation Built On Mapreduce Architecture, In: Bubak M., et al. (Eds.), Proc. ICCS 2008, Part III, Lect. Notes Comput. Sc., 5103, 331–338, 2008

  • [46] Laclavík M., Šeleng M., Ciglan M., Hluchý L., Ontea: Platform For Pattern Based Automated Semantic Annotation, Comput. Inform., 28, 555–579, 2009

  • [47] Laclavík M., Dlugolinsky S., Kvassay M., Hluchý L., Use Of E-mail Social Networks For Enterprise Benefit, In: 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), (August 2010, Toronto, Canada), IEEE Computer Society, Washington, DC, USA, 67–70, 2010 http://dx.doi.org/10.1109/WI-IAT.2010.126 [Crossref]

  • [48] Lawrence S., Context in Web Search, IEEE Data Eng. Bull., 23(3), 25–32, 2000

  • [49] Luxenburger J., Elbassuoni S., Weikum G., Matching Task Profiles And User Needs In Personalized Web Search, In: Shanahan J.G. et al. (Eds.), Proceeding of the 17th ACM Conference on Information and Knowledge Management CIKM’ 08, (October 2008, Napa Valley, CA, USA), ACM, New York, USA, 689–698, 2008

  • [50] Mäkelä E., Hyvönen E., Saarela S., Viljanen K., OntoViews — A Tool for Creating Semantic Web Portals, In: McIlraith S.A., Plexoasakis D., Harmelen F. (Eds.), ISWC 2004: Proceedings of the 3rd International Semantic Web Conference, (November 2004, Hiroshima, Japan), Lect. Notes Comput. Sc., 3298, 797–811, 2004

  • [51] Marchionini G., Exploratory search: from finding to understanding. Commun. Acm., 49, 41–46, 2006 http://dx.doi.org/10.1145/1121949.1121979 [Crossref]

  • [52] Matušíková K., Bieliková M., Social Navigation For Semantic Web Applications Using Space Maps, Comput. Inform., 26(3), 281–299, 2007

  • [53] Mayer M., Web history tools and revisitation support: A survey of existing approaches and directions, Foundations and Trends in HCI, 2, 173–278, 2009

  • [54] Micarelli A., Gasparetti F., Sciarrone F., Gauch S., Personalized Search on the World Wide Web, In: Brusilovsky P., Kobsa A., Nejdl W. (Eds.), The Adaptive Web, Lect. Notes Comput. Sc., 4321, 195–230, 2007

  • [55] Mika P., Ontologies are us: A unified model of social networks and semantics, J. Web Semant., 5, 5–15, 2007 http://dx.doi.org/10.1016/j.websem.2006.11.002 [Crossref]

  • [56] Navrat P., Taraba T., Context Search, In: Li Y., Raghavan V.V., Broder A., Ho H. (Eds.), 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology — Workshops, (November 2007, Silicon Valley, CA, USA), IEEE Computer Society, 99–102, 2007

  • [57] Navrat P., Bielikova M., Rozinajova V., Acquiring, Organising And Presenting Information And Knowledge From The Web, Commun. Cognition, 40, 37–44, 2007

  • [58] Navrat P., Taraba T., Bou Ezzeddine A., Chuda D., Context Search Enhanced by Readability Index, In: Bramer M. (Ed.), Artificial Intelligence in Theory and Practice II, IFIP 20th World Computer Congress, TC 12: IFIP AI 2008 Stream, (September 2008, Milano, Italy), IFIP 276 Springer, 373–382, 2008

  • [59] Navrat P. et al., Cognitive traveling in digital space of the Web and digital libraries supported by personalized services and social networks, Unpublished project proposal, Slovak University of Technology, Bratislava 2010

  • [60] Ono C., Kurokawa M., Motomura Y., Asoh H., A Context-aware movie preference model using a Bayesian network for recommendation and promotion. In: UM 2007, Lect. Notes Comput. Sc., 4511, 247–257, 2007

  • [61] Paralič J., Paralič M., Some Approaches To Text Mining And Their Potential For Semantic Web Applications, J. Inform. Organ. Sci., 31, 157–170, 2007

  • [62] Paralič J., Babič F., Wagner J., Simonenko E., Spyratos N., Sukibuchi T., Analyses Of Knowledge Creation Processes Based On Different Types Of Monitored Data, Foundations Of Intelligent Systems, Lect. Notes Comput. Sc., 5722, 321–330, 2009

  • [63] Peng W., Lin Y., Ranking Web Search Results from Personalized Perspective, In: Proceedings of the The 8th IEEE International Conference on E-Commerce Technology and the 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services, CEC-EEE, IEEE Computer Society, Washington, DC, USA, 12, 2006 http://dx.doi.org/10.1109/CEC-EEE.2006.72 [Crossref]

  • [64] Rose D.E., The Information-Seeking Funnel, In: National Science Foundation workshop on Information-Seeking Support Systems (ISSS), June 2008, Chapel Hill, NC, USA, 32–36

  • [65] Salamanca A., León E., An Integrated Architecture for Personalized Query Expansion in Web Search, In: Proceedings 6th AAAI Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, Chicago, 20–28, 2008

  • [66] Sarnovský M., Butka P., Paralič J., Grid-Based Support For Different Text Mining Tasks, Acta Polytech. Hung., 6, 5–27, 2009

  • [67] Schulz H.-J., Schumann H., 2006. Visualizing Graphs — A Generalized View, In: IV 2006: 10th Int. Conf. on Information Visualization, (July 2006, London, UK), IEEE CS, 166–173, 2006

  • [68] Schwarzkopf. E. et al., Mining the Structure of Tag Spaces for User Modeling (2007), In: Data Mining for User Modeling, Workshop held at UM, 63–75, 2007

  • [69] Shen X., Tan B., Zhai C., Implicit User Modeling for Personalized Search, In: Herzog O., Schek H.-J., Fuhr N., Chowdhury A., Teiken W. (Eds.), Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, (November 2005, Bremen Germany), ACM, New York, USA, 824–831, 2005

  • [70] Sieg A., Mobasher B., Burke R., Web Search Personalization With Ontological User Profiles, In: Silva M.J., Laender A.H.F., Baeza-Yates R.A., McGuinness D.L., Olstad B., Olsen O.H., Falčao A.O. (Eds.), Proceedings of the Sixteenth ACM Conference on Conference on information and Knowledge Management, CIKM’ 07, (November 2007, Lisbon, Portugal) ACM, New York, USA, 525–534, 2007 http://dx.doi.org/10.1145/1321440.1321515 [Crossref]

  • [71] Song Y., He L., Optimal Rare Query Suggestion With Implicit User Feedback, In: www 2010 Proceedings of the 19th International Conference on World Wide Web, (April 2010, Raleigh, NC, USA), ACM, New York, USA, 901–910, 2010 http://dx.doi.org/10.1145/1772690.1772782 [Crossref]

  • [72] Steinerová J., Šušol J., Library Users In Human Information Behaviour, Online Inform. Rev., 29(2), 139–156, 2005 http://dx.doi.org/10.1108/14684520510598020 [Crossref]

  • [73] Steinerová J., Šušol J., Users’ Information Behavior — A Gender Perspective, Inform. Res., 12, 1–16, 2007

  • [74] Steinerová J., Relevance Assessment For Digital Libraries, MOUSAION, 25, 37–57, 2007

  • [75] Steinerova J., Ecological dimensions of information literacy, Information Research, 15, Paper CoLIS 719, 2010 [Available at http://InformationR.net/ir/15-4/colis719.html]

  • [76] Suchal J., Navrat P., Full Text Search Engine as Scalable K-Nearest Neighbor Recommendation System, In: Bramer M. (Ed.), Artificial Intelligence in Theory and Practice III IFIP Advances in Information and Communication Technology, 331/2010, 165–173, 2010

  • [77] Teevan J., Dumais S.T., Horvitz E., Personalizing Search Via Automated Analysis Of Interests And Activities, In: Baeza-Yates R.A., Ziviani N., Marchionini G., Moffat A., Tait J. (Eds.), Proceedings of the 28th Annual International ACM SIGIR Conference On Research And Development In Information Retrieval, SIGIR’ 05 (August 2005, Salvador, Brazil), ACM, New York, USA, 449–456, 2005 http://dx.doi.org/10.1145/1076034.1076111 [Crossref]

  • [78] Teevan J., Dumais S.T., Liebling D.J., To Personalize or Not to Personalize: Modeling Queries with Variation in User Intent, In: Myaeng S.-H., Oard D.W., Sebastiani F., Chua T.-S., Leong M.-K. (Eds.), Proceedings of the 31st Annal International ACM SIGIR Conference On Research And Development In Information Retrieval, SIGIR’ 08 (July 2008, Singapore), ACM, Singapore, 163–170, 2008 http://dx.doi.org/10.1145/1390334.1390364 [Crossref]

  • [79] Teevan J., Morris M.R., Bush S., Discovering and using groups to improve personalized search, In: Baeza-Yates R., Boldi P., Ribeiro-Neto B.,. Cambazoglu B. B. (Eds.), Proceedings of the Second ACM international Conference on Web Search and Data Mining, WSDM’ 09, (February 2009, Barcelona, Spain) ACM, New York, USA, 15–24, 2009 http://dx.doi.org/10.1145/1498759.1498786 [Crossref]

  • [80] Theng Y.L., Thimbleby H., Jones M., “Lost in hyperspace”: Psychological problem or bad design?”, APCHI’96, Singapore, 387–396, 1996

  • [81] Tvarožek J., Bootstrapping a Socially Intelligent Tutoring Strategy, Information Sciences and Technologies Bulletin of the ACM Slovakia, 3, 33–41, 2011

  • [82] Tvarožek M., Bieliková M., Personalized Faceted Navigation In The Semantic Web, Lect. Notes Comput. Sc., 4607, 511–515, 2006

  • [83] Tvarožek M., Bieliková M., Personalized Faceted Browsing For Digital Libraries, Lect. Notes Comput. Sc., 4675, 485–488, 2007

  • [84] Tvarožek M., Bieliková M., Collaborative Multi-Paradigm Exploratory Search, In: Proceedings of the Hypertext 2008 Workshop on Collaboration and Collective Intelligence, WebScience’08 (ACM Press, New York, USA, 2008) 29–33 http://dx.doi.org/10.1145/1379157.1379165 [Crossref]

  • [85] Tvarožek M., Exploratory Search in the Adaptive Social SemanticWeb, Information Sciences and Technologies Bulletin of the ACM Slovakia, 3, 42–51, 2011

  • [86] Wang S., Jing F., He J., Du Q., Zhang L., Group: presenting web image search results in semantic clusters, In: Proceedings of the SIGCHI Conference on Human Factors in Comp. Sys., ACM Press, New York, NY, USA, 587–596, 2007

  • [87] White R., Roth R., Exploratory Search: Beyond the Query-Response Paradigm. Morgan & Claypool, 2009

  • [88] Wilson M.L., Schraefel M.C., White R.W., Evaluating advanced search interfaces using established informationseeking models, J Am. Soc. Inf. Sci. Tec., 60, 1407–1422, 2009 http://dx.doi.org/10.1002/asi.21080 [Crossref]

  • [89] Zhu Z., Xu J., Ren X., Tian Y., Li L., Query Expansion Based on a Personalized Web Search Model, In: Proceedings of the Third International Conference on Semantics, Knowledge and Grid SKG, IEEE Computer Society, Washington, DC, USA, 128–133, 2007

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Published Online: 2012-11-04

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