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A System for Collecting, Managing, Analyzing and Sharing Diverse, Multi-Faceted Cultural Heritage and Tourism Data

conferencePaper

DOI:10.1109/SMAP53521.2021.9610777
Authors: Deligiannis Kimon / Raftopoulou Paraskevi / Tryfonopoulos Christos / Vassilakis Costas

Extracted Abstract:

—Today, social media platforms and other online sources, like forums and review sites, offer an abundance of cultural and touristic information that is voluntarily offered by travelers; this information, although helpful for other travelers, is typically fragmented and thus cannot be easily leveraged to ex- ploitable knowledge by scientists and other tourism stakeholders. In this work, we present a novel, integrated system for collecting, managing, analyzing and sharing diverse, multi-faceted cultural heritage/tourism-related data that aims to assist scientists in the cultural heritage domain and tourism stakeholders to gather and synthesize scattered information to exploitable knowledge. The proposed system is tailored to the tourism domain needs, and allows users with minimum effort and zero IT expertise to (i) gather data from both structured and unstructured/semi- structured online sources, (ii) leverage the data to knowledge via appropriate analysis and visualization tools, and (iii) share the collected data and gathered knowledge with other stakeholders via appropriate publish-subscribe mechanisms. The proposed system is entirely open-source, designed upon big data tools and principles for the data store, the analytics production, and the knowledge sharing, and targets both performance and usability. I.

Level 1: Include/Exclude

  • Papers must discuss situated information visualization* (by Willet et al.) in the application domain of CH.
    *A situated data representation is a data representation whose physical presentation is located close to the data’s physical referent(s).
    *A situated visualization is a situated data representation for which the presentation is purely visual – and is typically displayed on a screen.
  • Representation must include abstract data (e.g., metadata).
  • Papers focused solely on digital reconstruction without information visualization aspects are excluded.
  • Posters and workshop papers are excluded to focus on mature research contributions.
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