M. exhiSTORY: Smart Exhibits That Tell Their Own Stories

dc.contributor.author	Vassilakis, C.	en
dc.contributor.author	Poulopoulos, V.	el
dc.contributor.author	Antoniou, A.	en
dc.contributor.author	Wallace, M.	en
dc.contributor.author	Lepouras, G.	en
dc.contributor.author	Lopez Nores, Martín	en
dc.date.accessioned	2019-02-17T06:05:18Z
dc.date.available	2019-02-17T06:05:18Z
dc.date.issued	2019-02-17
dc.identifier.uri	http://hdl.handle.net/11400/20240
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.title	M. exhiSTORY: Smart Exhibits That Tell Their Own Stories	en
heal.type	journalArticle
heal.identifier.secondary	https://doi.org/10.1016/j.future.2017.10.038
heal.language	en
heal.access	free
heal.publicationDate	2018
heal.bibliographicCitation	Vassilakis, C., Poulopoulos, V., Antoniou, A., Wallace, M., Lepouras, G., Lopez Nores, M. exhiSTORY: Smart Exhibits That Tell Their Own Stories (2018), Future Generation Computer Systems, 81, 542-556.	en
heal.abstract	Museum exhibitions are designed to tell a story; this story is woven by curators and in its context a particular aspect of each exhibit, fitting to the message that the story is intended to convey, is highlighted. Adding new exhibits to the story requires curators to identify for each exhibit its aspects that fit to the message of the story and position the exhibit at the right place in the story thread. The availability of rich semantic information for exhibits, allows for exploiting the wealth of meanings that museum exhibits express, enabling the automated or semi-automated generation of practically countless stories that can be told. Personalization algorithms can then be employed to choose from these stories the ones most suitable for each individual user, based on the semantics of the stories and information within the user profile. In this work we examine how opportunities arising from technological advances in the fields of IoT and semantics can be used to develop smart, self-organizing exhibits that cooperate with each other and provide visitors with comprehensible, rich, diverse, personalized and highly stimulating experiences. These notions are included in the design of a system named exhiSTORY, which also exploits previously ignored information and identifies previously unseen semantic links. We present the architecture of the system and discuss its application potential.	en
heal.sponsor	This publication is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 693150	en
heal.journalName	Future Generation Computer Systems	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	false