An Ontological Approach to Digital Storytelling

Casillo, Mario; Colace, Francesco; Santo, Massimo De; Lemma, Saverio; Lombardi, Marco; Pietrosanto, Antonio

doi:10.1145/2955129.2955147

Cited by 18 publications

(8 citation statements)

References 15 publications

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“…Notable developments have allowed location-specific narratives to be presented to visitors, through systems that use spatial information, maps and synchronized content [13,14,23]. The design of the CCKB in relation to the modeling of narratives was informed by related work on narrative structures [24][25][26], event ontologies and relations [16,[27][28][29].…”

Section: The Semantic Web Of History and Cultural Heritagementioning

confidence: 99%

Technology-Powered Strategies to Rethink the Pedagogy of History and Cultural Heritage through Symmetries and Narratives

et al. 2019

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Recent advances in semantic web and deep learning technologies enable new means for the computational analysis of vast amounts of information from the field of digital humanities. We discuss how some of the techniques can be used to identify historical and cultural symmetries between different characters, locations, events or venues, and how these can be harnessed to develop new strategies to promote intercultural and cross-border aspects that support the teaching and learning of history and heritage. The strategies have been put to the test in the context of the European project CrossCult, revealing enormous potential to encourage curiosity to discover new information and increase retention of learned information.

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Section: The Semantic Web Of History and Cultural Heritagementioning

confidence: 99%

Technology-Powered Strategies to Rethink the Pedagogy of History and Cultural Heritage through Symmetries and Narratives

et al. 2019

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“…Data represents the key to build up and enable services and actions to be made: the goal is then to implement a Knowledge Base (KB) with a view to collecting, elaborating and managing information in real time. In this respect, we use a Knowledge Organization System (KOS), by which we mean well known schemes such as Taxonomies, Thesaurus and further types of vocabulary that, together with Ontologies, constitute valid tools to shape the reality of interest into concepts and relations between concepts [17].…”

Section: A Data Management and Representationmentioning

confidence: 99%

MuG: A Multilevel Graph Representation for Big Data Interpretation

Colace

Lombardi

Santaniello

et al. 2018

2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference On

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Our society is oriented towards data production. The increasingly massive spread of mobile devices and the Internet of Things is transforming our society into a data factory. Data, however, does not immediately lead to knowledge and, in fact we can become overwhelmed with a mass of information that is difficult to understand: often the desire to predict the future from data analysis turns into the nightmare of data overload. There are numerous approaches, automatic and manual, present in the literature that try to interpret data by extracting information. Among the various methodologies proposed, none seems to have resolved the problem in a definitive and universal way, perhaps because every data analysis problem needs to be faced from a different point of view. This paper introduces an approach for the interpretation of data from sensors located within a city. Three graphs (Ontologies, Context Dimension Tree and Bayesian Networks) were chosen for the representation of the scenarios both from the point of view of the sensors involved and of the services and events connected to the data. Through the Ontologies and the Context Dimension Tree it is possible to analyze the scenario from a syntactic and semantic point of view constructing Bayes networks that enable the estimation of the probability that some events happen. A first empirical analysis conducted on some districts of London seems to confirm the effectiveness of the proposed method.

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“…CDT plays a fundamental role in tailoring the information space according to the user's information needs, as well as an analysis of relevant features of context models. It is thus important to notice that this notion of context is strictly connected to the considered application and is not meant to model the general knowledge concerning one or more areas of interest, a situation where a data schema, or a domain-ontology may be better suited [4,6,7].…”

Section: Contents and Services Contextualizationmentioning

confidence: 99%

A Tailor made System for providing Personalized Services

Casillo

Colace

Lemma

et al. 2017

International Conferences on Software Engineering and Knowledge Engineering

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Abstract-Today, the existing technologies, such as smartphone and other pervasive devices, can be used for context awareness and help people to undertake conscious choices. In fact, unlike what happened in the past, all of these data are managed and contextualized for the particular application. We need to understand, select, treat and finally opportunely expose these data. In this scenario, there are many Context Aware applications. This paper introduces a tailor made system for providing personalized services and it is based on a graphical formalism for the context representation: the Context Dimension Tree.This system provides the needed information about places that are of great interest for the visitors, selecting them using user preferences. A case study is applied to an event in Salerno, an Italian town, called Artist's Lights. Finally, an experimental campaign has been conducted, obtaining interesting results.

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An Ontological Approach to Digital Storytelling

Cited by 18 publications

References 15 publications

Technology-Powered Strategies to Rethink the Pedagogy of History and Cultural Heritage through Symmetries and Narratives

Technology-Powered Strategies to Rethink the Pedagogy of History and Cultural Heritage through Symmetries and Narratives

MuG: A Multilevel Graph Representation for Big Data Interpretation

A Tailor made System for providing Personalized Services

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