Zenodo (CERN European Organization for Nuclear Research), Feb 11, 2022
The use of Semantic Technologies-in particular the Semantic Web-has revealed to be a great tool f... more The use of Semantic Technologies-in particular the Semantic Web-has revealed to be a great tool for describing the cultural heritage domain and artistic practices. However, the panorama of ontologies for musicological applications seems to be limited and restricted to specific applications. In this research, we propose HaMSE, an ontology capable of describing musical features that can assist musicological research. More specifically, HaMSE proposes to address issues that have been affecting musicological research for decades: the representation of music and the relationship between quantitative and qualitative data. To do this, HaMSE allows the alignment between different music representation systems and describes a set of musicological features that can allow the music analysis at different granularity levels.
Zenodo (CERN European Organization for Nuclear Research), May 26, 2023
SPICE is an EU H-2020 project dedicated to research on novel methods for citizen curation of cult... more SPICE is an EU H-2020 project dedicated to research on novel methods for citizen curation of cultural heritage through an ecosystem of tools co-designed by an interdisciplinary team of researchers, technologists, and museum curators and engagement experts, and user communities [6]. This demo paper presents the output of Work Package 4 of the SPICE project, focusing on improving the state of the art of content management and delivery strategies of museums. Within this context, we analysed the challenges of integrating citizen experiences in cultural heritage archives [3]. Objective of the work is developing an approach to giving citizen curation partner organisations (e.g. museums or engagement companies) meaningful control over their data, by expressing fine-grained, usertailored policies and terms of use and by developing an approach to dealing with privacy violations in user-contributed content. The work capitalise on the research on managing data catalogues and integration metadata in the smart cities context [5] Crucially, the SPICE LDH integrates data from museum collections and user-generated content from applications, leveraging a multiplicity of ontological viewpoints, using the novel SPARQL Anything system [4, 1]. Alongside presenting novel functionalities of the Linked Data Hub, we illustrate concrete applications within the SPICE pilot "Deep Viewpoints", which focuses on supporting the Irish Museum of Modern Art (IMMA) in citizen curation activities [2, 7]. The SPICE Linked Data Hub The SPICE Linked Data Hub capitalises on the findings of [3]. The platform incorporates technologies that allows to configure content adapters to a variety of sources in a flexible way, supporting an open-ended heterogeneity of data
... Cima .. 142 Institutional Pragmatics and Legal Ontology Limits of the DescriptiveApproach o... more ... Cima .. 142 Institutional Pragmatics and Legal Ontology Limits of the DescriptiveApproach of Texts Danièle Bourcier 158 Page 11. ...
Proceedings of the Annual Symposium on Computer Application in Medical Care, Nov 7, 1990
The Arden Syntax for Medical Logic Modules George Hripcsakl, Paul D. Claytonl, T. Allan Pryor2, P... more The Arden Syntax for Medical Logic Modules George Hripcsakl, Paul D. Claytonl, T. Allan Pryor2, Peter Haug2, Ove B. Wigertz3, JohanVander lei4 ... The Arden Homestead Retreat was sponsored by the CAMDAT Foundation, IBM, and the law firn of De Forest and Duer. 200 ...
... Law and the Semantic Web: Legal Ontologies, Methodologies, Legal Information Retrieval, and A... more ... Law and the Semantic Web: Legal Ontologies, Methodologies, Legal Information Retrieval, and Applications (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence). Purchase this Book. Source, Medium: Paperback. ...
Zenodo (CERN European Organization for Nuclear Research), May 26, 2023
Based on studies related to the use of Virtual Reality (VR) to increase prosocial [1] and empathi... more Based on studies related to the use of Virtual Reality (VR) to increase prosocial [1] and empathic [2;3] behaviors, and in line with the H2020 SPICE project 1 ("Social Cohesion, Participation and Inclusion through Cultural Engagement"), our research employs VR technology to encourage users to adopt an alternative point of view through a virtual embodiment, in order to increase social cohesion. To this aim we have built a virtual museum where different avatars (parameterized on age, gender and nationality) can interact with experimental subjects to discuss emotional and value-driven interpretations related to works of art, aiming at bootstrapping user's intepretation-reflection loops [4]. Based on the results of our pilot study, which show that a VR-driven methodology fosters a sense of embodiment and maximize the social cohesion among users, we are working on an innovative real-time system based on data semantics, in order to sensitize people to other interpretations.
In this paper we propose the Music Note Ontology, an ontology for modelling music notes and their... more In this paper we propose the Music Note Ontology, an ontology for modelling music notes and their realisation. The ontology addresses the relation between a note represented in a symbolic representation system, and its realisation, i.e. a musical performance. This work therefore aims to solve the modelling and representation issues that arise when analysing the relationships between abstract symbolic features and the corresponding physical features of an audio signal. The ontology is composed of three different Ontology Design Patterns (ODP), which model the structure of the score (Score Part Pattern), the note in the symbolic notation (Music Note Pattern) and its realisation (Musical Object Pattern).
Zenodo (CERN European Organization for Nuclear Research), Jun 12, 2023
Virtual reality enables the creation of personalized users experiences that put together people o... more Virtual reality enables the creation of personalized users experiences that put together people of different cultures and ethnicity. We consider a novel concept of virtual reality innovation in museums, which is cognitively grounded, and based on data and their semantics, to enable users to share their experiences, as well as to assume the perspective of other users, with the ultimate goal of increasing social cohesion. The implementation of this scenario requires an autonomous artificial system capable to detect emotions and values from a dialogue involving museum visitors who express their personal point of view, listen to the point of view of other visitors, and assume others' perspectives. An important feature of this system is the ability of detecting similarity and dissimilarity between users' perspectives expressed by speech when exposed to artworks. This aids in defining an effective strategy for sharing diverse user perspectives for increasing social cohesion. Moreover, it enables an unbiased quantification of the success of the interaction in terms of change in the user perspective. Based on results from previous work, we employ the Ekman emotion model and Haidt moral value model to detect emotional and moral value profiles from user descriptions of artworks. We propose a novel method for measuring the similarity between user perspectives by comparing emotional and moral value profiles. Our results show that the employment of unsupervised text classification models is a promising research direction for this task.
Zenodo (CERN European Organization for Nuclear Research), Sep 1, 2022
Embodied cognition and the theory of cognitive metaphors ground our commonsense reasoning ability... more Embodied cognition and the theory of cognitive metaphors ground our commonsense reasoning ability in language, linking subjective perception of the external world with cognitive inferential patterns. Furthermore, commonsense reasoning is linked to human sense-making, pattern recognition and knowledge framing abilities. This work presents ISAAC, the Image Schema Abstraction And Cognition modular ontology, a new resource that formalizes the cognitive theory of Image Schemas. Image Schemas are conceptual dynamic building blocks originated from recurring sensorimotor interactions with the physical world. These experiential patterns assign coherence and structure to entities, sequences of events and situations we experience everyday. ISAAC ontology provides a formalization of theoretical background and integration of different theories regarding linguistic and factual entities already operationalised in ontological modules like ImageSchemaNet, the image-schematic layer built on top of FrameNet.
Zenodo (CERN European Organization for Nuclear Research), Sep 7, 2022
Emotions are pervasive of our everyday life and attempts to model them in more or less formal sys... more Emotions are pervasive of our everyday life and attempts to model them in more or less formal systems have flourished, from dimensional to categorical models. We face the matter adopting a frame semantics approach in order to build a knowledge graph of lexical semantic triggers reusing previously existing resources such as WordNet and VerbNet, and in particular we take as test case the concept of "Disgust", as conceptualized in Ekman's theory.
Zenodo (CERN European Organization for Nuclear Research), Feb 11, 2022
The use of Semantic Technologies-in particular the Semantic Web-has revealed to be a great tool f... more The use of Semantic Technologies-in particular the Semantic Web-has revealed to be a great tool for describing the cultural heritage domain and artistic practices. However, the panorama of ontologies for musicological applications seems to be limited and restricted to specific applications. In this research, we propose HaMSE, an ontology capable of describing musical features that can assist musicological research. More specifically, HaMSE proposes to address issues that have been affecting musicological research for decades: the representation of music and the relationship between quantitative and qualitative data. To do this, HaMSE allows the alignment between different music representation systems and describes a set of musicological features that can allow the music analysis at different granularity levels.
Zenodo (CERN European Organization for Nuclear Research), May 26, 2023
SPICE is an EU H-2020 project dedicated to research on novel methods for citizen curation of cult... more SPICE is an EU H-2020 project dedicated to research on novel methods for citizen curation of cultural heritage through an ecosystem of tools co-designed by an interdisciplinary team of researchers, technologists, and museum curators and engagement experts, and user communities [6]. This demo paper presents the output of Work Package 4 of the SPICE project, focusing on improving the state of the art of content management and delivery strategies of museums. Within this context, we analysed the challenges of integrating citizen experiences in cultural heritage archives [3]. Objective of the work is developing an approach to giving citizen curation partner organisations (e.g. museums or engagement companies) meaningful control over their data, by expressing fine-grained, usertailored policies and terms of use and by developing an approach to dealing with privacy violations in user-contributed content. The work capitalise on the research on managing data catalogues and integration metadata in the smart cities context [5] Crucially, the SPICE LDH integrates data from museum collections and user-generated content from applications, leveraging a multiplicity of ontological viewpoints, using the novel SPARQL Anything system [4, 1]. Alongside presenting novel functionalities of the Linked Data Hub, we illustrate concrete applications within the SPICE pilot "Deep Viewpoints", which focuses on supporting the Irish Museum of Modern Art (IMMA) in citizen curation activities [2, 7]. The SPICE Linked Data Hub The SPICE Linked Data Hub capitalises on the findings of [3]. The platform incorporates technologies that allows to configure content adapters to a variety of sources in a flexible way, supporting an open-ended heterogeneity of data
... Cima .. 142 Institutional Pragmatics and Legal Ontology Limits of the DescriptiveApproach o... more ... Cima .. 142 Institutional Pragmatics and Legal Ontology Limits of the DescriptiveApproach of Texts Danièle Bourcier 158 Page 11. ...
Proceedings of the Annual Symposium on Computer Application in Medical Care, Nov 7, 1990
The Arden Syntax for Medical Logic Modules George Hripcsakl, Paul D. Claytonl, T. Allan Pryor2, P... more The Arden Syntax for Medical Logic Modules George Hripcsakl, Paul D. Claytonl, T. Allan Pryor2, Peter Haug2, Ove B. Wigertz3, JohanVander lei4 ... The Arden Homestead Retreat was sponsored by the CAMDAT Foundation, IBM, and the law firn of De Forest and Duer. 200 ...
... Law and the Semantic Web: Legal Ontologies, Methodologies, Legal Information Retrieval, and A... more ... Law and the Semantic Web: Legal Ontologies, Methodologies, Legal Information Retrieval, and Applications (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence). Purchase this Book. Source, Medium: Paperback. ...
Zenodo (CERN European Organization for Nuclear Research), May 26, 2023
Based on studies related to the use of Virtual Reality (VR) to increase prosocial [1] and empathi... more Based on studies related to the use of Virtual Reality (VR) to increase prosocial [1] and empathic [2;3] behaviors, and in line with the H2020 SPICE project 1 ("Social Cohesion, Participation and Inclusion through Cultural Engagement"), our research employs VR technology to encourage users to adopt an alternative point of view through a virtual embodiment, in order to increase social cohesion. To this aim we have built a virtual museum where different avatars (parameterized on age, gender and nationality) can interact with experimental subjects to discuss emotional and value-driven interpretations related to works of art, aiming at bootstrapping user's intepretation-reflection loops [4]. Based on the results of our pilot study, which show that a VR-driven methodology fosters a sense of embodiment and maximize the social cohesion among users, we are working on an innovative real-time system based on data semantics, in order to sensitize people to other interpretations.
In this paper we propose the Music Note Ontology, an ontology for modelling music notes and their... more In this paper we propose the Music Note Ontology, an ontology for modelling music notes and their realisation. The ontology addresses the relation between a note represented in a symbolic representation system, and its realisation, i.e. a musical performance. This work therefore aims to solve the modelling and representation issues that arise when analysing the relationships between abstract symbolic features and the corresponding physical features of an audio signal. The ontology is composed of three different Ontology Design Patterns (ODP), which model the structure of the score (Score Part Pattern), the note in the symbolic notation (Music Note Pattern) and its realisation (Musical Object Pattern).
Zenodo (CERN European Organization for Nuclear Research), Jun 12, 2023
Virtual reality enables the creation of personalized users experiences that put together people o... more Virtual reality enables the creation of personalized users experiences that put together people of different cultures and ethnicity. We consider a novel concept of virtual reality innovation in museums, which is cognitively grounded, and based on data and their semantics, to enable users to share their experiences, as well as to assume the perspective of other users, with the ultimate goal of increasing social cohesion. The implementation of this scenario requires an autonomous artificial system capable to detect emotions and values from a dialogue involving museum visitors who express their personal point of view, listen to the point of view of other visitors, and assume others' perspectives. An important feature of this system is the ability of detecting similarity and dissimilarity between users' perspectives expressed by speech when exposed to artworks. This aids in defining an effective strategy for sharing diverse user perspectives for increasing social cohesion. Moreover, it enables an unbiased quantification of the success of the interaction in terms of change in the user perspective. Based on results from previous work, we employ the Ekman emotion model and Haidt moral value model to detect emotional and moral value profiles from user descriptions of artworks. We propose a novel method for measuring the similarity between user perspectives by comparing emotional and moral value profiles. Our results show that the employment of unsupervised text classification models is a promising research direction for this task.
Zenodo (CERN European Organization for Nuclear Research), Sep 1, 2022
Embodied cognition and the theory of cognitive metaphors ground our commonsense reasoning ability... more Embodied cognition and the theory of cognitive metaphors ground our commonsense reasoning ability in language, linking subjective perception of the external world with cognitive inferential patterns. Furthermore, commonsense reasoning is linked to human sense-making, pattern recognition and knowledge framing abilities. This work presents ISAAC, the Image Schema Abstraction And Cognition modular ontology, a new resource that formalizes the cognitive theory of Image Schemas. Image Schemas are conceptual dynamic building blocks originated from recurring sensorimotor interactions with the physical world. These experiential patterns assign coherence and structure to entities, sequences of events and situations we experience everyday. ISAAC ontology provides a formalization of theoretical background and integration of different theories regarding linguistic and factual entities already operationalised in ontological modules like ImageSchemaNet, the image-schematic layer built on top of FrameNet.
Zenodo (CERN European Organization for Nuclear Research), Sep 7, 2022
Emotions are pervasive of our everyday life and attempts to model them in more or less formal sys... more Emotions are pervasive of our everyday life and attempts to model them in more or less formal systems have flourished, from dimensional to categorical models. We face the matter adopting a frame semantics approach in order to build a knowledge graph of lexical semantic triggers reusing previously existing resources such as WordNet and VerbNet, and in particular we take as test case the concept of "Disgust", as conceptualized in Ekman's theory.
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Papers by Aldo Gangemi