DEiXTo related papers
- I.Refanidis, C.Emmanouilidis, I.Sakellariou, A.Alexiadis, R.A.Koutsiamanis, K.Agnantis, A.Tasidou, F.Kokkoras and P.S.Efraimidis. “MyVisitPlannerGR: Personalized Itinerary Planning System for Tourism“, In proc. of the 8th Hellenic Conference on Artificial Intelligence, (SETN-2014), Ioannina/Greece, May 15-17, 2014.
- F. Kokkoras, K. Ntonas, N. Bassiliades. “DEiXTo: A web data extraction suite“, In proc. of the 6th Balkan Conference in Informatics (BCI-2013), September 19-21, 2013, Thessaloniki, Greece, pp. 9-12, ACM New York, USA, 2013.
DEiXTo has been successfully used in combination with “MOpiS”, a multiple opinion summarization algorithm. DEiXTo collects opinion data from on-line shops in real-time and MOpiS generates summaries of these opinions by taking into consideration implicit metadata information that accompanies the customers’ opinions. MOpiS is described in the following paper:
- F. Kokkoras, E. Lampridou, K. Ntonas, I. Vlahavas, “MOpiS: a Multiple Opinion Summarizer”, in Proc. of the 5th Hellenic Conference on Artificial Intelligence, J. Darzentas et al. (Eds.) SETN 2008, Springer-Verlag Berlin Heidelberg, LNAI 5138, pp.110-122, Syros, October 2-4, 2008.
A limited version of MOpiS is available online, for real-time demonstration.
DEiXTo has been successfully used in “ReSum”, a Review Summarization Algorithm which was the final year thesis of Efstratia Lampridou, a BSc student in the Department of Informatics – LPIS Lab (Aristotle University of Thessaloniki). Extraction rules built with GUI DEiXTo are used to collect on-line product reviews posted by customers of on-line shops. ReSum summarizes those reviews in a way described in the following paper:
- F. Kokkoras, E. Lampridou, K. Ntonas, I. Vlahavas, “Summarization of Multiple, Metadata Rich, Product Reviews”, in Proc. of the 18th European Conference on Artificial Intelligence (ECAI ’08), Workshop on Mining Social Data (MSoDa), Patras, Greece, July 20, 2008.