» What

Instant Overview Search, for short ios, is a "search-as-you-type" functionality for web searching which provides an overview of the results as the user types his query letter-by-letter. Specifically, for the most frequent queries ios shows instantly the top hits and various other kinds of precomputed aggregated information that provide the user with a better overview of the search space. This method is independent of the kind of precomputed information, hence it can be adopted for a plethora of applications (e.g., results clustering, metadata-based groupings, entity mining, query recommendations, semantic-based enhancements, etc).

» Demos / Prototypes top
  • Instant Textual Clustering
    A meta-search engine offering instant clustering of the snippets of the top hits. The current deployment contains precomputed information for 20,000 queries. In case user does not get any suggestion for the current input, he is able to submit the query and get the "fresh" results and their cluster label tree. The prototype also supports faceted search-like restriction of the answer, i.e. the user is able to gradually select clusters and refine the answer set accordingly.
     
  • Instant Entity Mining
    A meta-search engine offering instant entity mining of the contents of the top hits. The current deployment contains precomputed information for about 2,000 queries. In case user does not get any suggestion for the current input, he is able to submit the query and get the results and a categorized list with the discovered entities (of either the snippets or the full contents of the results).
     
» Publications top
P. Fafalios and Y. Tzitzikas,
Type-Ahead Exploratory Search through Typo and Word Order Tolerant Autocompletion,
Journal of Web Engineering, Vol. 14, No. 1 & 2 (2015), Pages 080–116, Rinton Press.
P. Fafalios, I. Kitsos and Y. Tzitzikas,
Scalable, Flexible and Generic Instant Overview Search,
Proceedings of the 21st International Conference on World Wide Web (demo paper), WWW 2012, Lyon, France, April 2012.
(It was presented also at the 11th Hellenic Data Management Symposium (HDMS'12), Chania, Greece, June 2012).
P. Fafalios and Y. Tzitzikas,
Exploiting Available Memory and Disk for Scalable Instant Overview Search,
Proceedings of the 12th International Conference on Web Information System Engineering, WISE 2011, Sydney, Australia, October 2011.
» Contact / Provide Feedback top
Please contact us by sending an email at tzitzik at ics.forth.gr.
» About top

Institution:
Information System Laboratory (ISL), Institute of Computer Science (ICS),
Foundation for Research and Technology - Hellas (FORTH)

Contact Person:
Yannis Tzitzikas
Email: tzitzik at ics.forth.gr
Personal Web page: http://users.ics.forth.gr/~tzitzik/


Acknowledgements:
This work was partially supported by:
iMarine: Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources Multilingual and Multifaceted Interactive Information Access (MUMIA)

Institute of Computer Science - Foundation for Research and Technology - Hellas
 
 
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