AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
How to
Here you can find the complete list of our publications.
You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2012
Augello, Agnese; Gentile, Manuel; Pilato, Giovanni; Vassallo, Giorgio
Geometric Encoding of Sentences Based on Clifford Algebra Proceedings Article
In: KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, pp. 457–462, 2012, ISBN: 978-989-8565-29-7.
Abstract | BibTeX | Tags: Geometric algebra, Information Retrieval, Knowledge Representation, Natural Language Processing, Semantic Computing, Semantic Spaces
@inproceedings{augelloGeometricEncodingSentences2012,
title = {Geometric Encoding of Sentences Based on Clifford Algebra},
author = { Agnese Augello and Manuel Gentile and Giovanni Pilato and Giorgio Vassallo},
isbn = {978-989-8565-29-7},
year = {2012},
date = {2012-01-01},
booktitle = {KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval},
pages = {457--462},
abstract = {Natural language sentences can be represented as vectors in a high dimensional vector space. Generally, these models are based on bag of words approaches, and therefore they do not fully capture the semantics of sentences which depends both by the semantics of the words, and their order in in the phrase. In this work we propose a sub-symbolic methodology to encode natural language sentences considering both these two aspects. The proposed approach exploits the properties of Geometric Algebra rotation operators, called rotors, to code sentences through the rotation of an orthogonal basis of a semantic space. The methodology is based on three main steps: the construction of a semantic space, the association of ad-hoc rotors to sentence bigrams, and finally the coding of the sentence through the application of the obtained rotors to a standard basis in the semantic space. Copyright textcopyright 2012 SciTePress - Science and Technology Publications.},
keywords = {Geometric algebra, Information Retrieval, Knowledge Representation, Natural Language Processing, Semantic Computing, Semantic Spaces},
pubstate = {published},
tppubtype = {inproceedings}
}
Natural language sentences can be represented as vectors in a high dimensional vector space. Generally, these models are based on bag of words approaches, and therefore they do not fully capture the semantics of sentences which depends both by the semantics of the words, and their order in in the phrase. In this work we propose a sub-symbolic methodology to encode natural language sentences considering both these two aspects. The proposed approach exploits the properties of Geometric Algebra rotation operators, called rotors, to code sentences through the rotation of an orthogonal basis of a semantic space. The methodology is based on three main steps: the construction of a semantic space, the association of ad-hoc rotors to sentence bigrams, and finally the coding of the sentence through the application of the obtained rotors to a standard basis in the semantic space. Copyright textcopyright 2012 SciTePress - Science and Technology Publications.
Augello, Agnese; Gentile, Manuel; Pilato, Giovanni; Vassallo, Giorgio
Geometric encoding of sentences based on clifford algebra Proceedings Article
In: KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, pp. 457–462, 2012, ISBN: 978-989-8565-29-7.
Abstract | Links | BibTeX | Tags: Geometric algebra, Information Retrieval, Knowledge Representation, Natural Language Processing, Semantic Computing, Semantic Spaces
@inproceedings{augello_geometric_2012,
title = {Geometric encoding of sentences based on clifford algebra},
author = {Agnese Augello and Manuel Gentile and Giovanni Pilato and Giorgio Vassallo},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881535463&partnerID=40&md5=b6d0cd52d69a3dfc0a811c6390bf0d6c},
isbn = {978-989-8565-29-7},
year = {2012},
date = {2012-01-01},
booktitle = {KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval},
pages = {457–462},
abstract = {Natural language sentences can be represented as vectors in a high dimensional vector space. Generally, these models are based on bag of words approaches, and therefore they do not fully capture the semantics of sentences which depends both by the semantics of the words, and their order in in the phrase. In this work we propose a sub-symbolic methodology to encode natural language sentences considering both these two aspects. The proposed approach exploits the properties of Geometric Algebra rotation operators, called rotors, to code sentences through the rotation of an orthogonal basis of a semantic space. The methodology is based on three main steps: the construction of a semantic space, the association of ad-hoc rotors to sentence bigrams, and finally the coding of the sentence through the application of the obtained rotors to a standard basis in the semantic space. Copyright © 2012 SciTePress - Science and Technology Publications.},
keywords = {Geometric algebra, Information Retrieval, Knowledge Representation, Natural Language Processing, Semantic Computing, Semantic Spaces},
pubstate = {published},
tppubtype = {inproceedings}
}
Natural language sentences can be represented as vectors in a high dimensional vector space. Generally, these models are based on bag of words approaches, and therefore they do not fully capture the semantics of sentences which depends both by the semantics of the words, and their order in in the phrase. In this work we propose a sub-symbolic methodology to encode natural language sentences considering both these two aspects. The proposed approach exploits the properties of Geometric Algebra rotation operators, called rotors, to code sentences through the rotation of an orthogonal basis of a semantic space. The methodology is based on three main steps: the construction of a semantic space, the association of ad-hoc rotors to sentence bigrams, and finally the coding of the sentence through the application of the obtained rotors to a standard basis in the semantic space. Copyright © 2012 SciTePress - Science and Technology Publications.
2007
Sorce, Salvatore; Augello, Agnese; Santangelo, Antonella; Pilato, Giovanni; Gentile, Antonio; Genco, Alessandro; Gaglio, Salvatore
A Multimodal Guide for the Augmented Campus Proceedings Article
In: Proceedings ACM SIGUCCS User Services Conference, pp. 325–331, 2007, ISBN: 978-1-59593-634-9.
Abstract | Links | BibTeX | Tags: Human computer interaction, Information Retrieval, Multimodal Interaction
@inproceedings{sorceMultimodalGuideAugmented2007,
title = {A Multimodal Guide for the Augmented Campus},
author = { Salvatore Sorce and Agnese Augello and Antonella Santangelo and Giovanni Pilato and Antonio Gentile and Alessandro Genco and Salvatore Gaglio},
doi = {10.1145/1294046.1294123},
isbn = {978-1-59593-634-9},
year = {2007},
date = {2007-01-01},
booktitle = {Proceedings ACM SIGUCCS User Services Conference},
pages = {325--331},
abstract = {The use of Personal Digital Assistants (PDAs) with ad-hoc built-in information retrieval and auto-localization functionalities can help people navigating an environment in a more natural manner compared to traditional audio/visual pre-recorded guides. In this work we propose and discuss a user-friendly, multi-modal guide system for pervasive context-aware service provision within augmented environments. The proposed system is adaptable to the user needs of mobility within a given environment; it is usable on different mobile devices and in particular on PDAs, which are used as advanced adaptive HEI (human-environment interaction) interfaces. An information retrieval service is provided that is easily accessible through spoken language interaction in cooperation with an auto-localization service. The interaction is enabled by speech recognition and synthesis technologies, and by a ChatBot system, endowed with common sense reasoning capabilities to properly interpret user speech and provide him with the requested information. This interaction mode turns to be more natural, and users are required to have only basic skills on the use of PDAs. The auto-localization service relies on a RFID-based framework, which resides partly in the mobile side of the entire system (PDAs), and partly in the environment side. In particular, RFID technology allows the system to provide users with context-related information. An implemented case study is showed that illustrates service provision in an augmented environment within university campus settings (termed "Augmented Campus"). Lastly, a discussion about user experiences while using trial services within the Augmented Campus is given. textcopyright Copyright 2007 ACM.},
keywords = {Human computer interaction, Information Retrieval, Multimodal Interaction},
pubstate = {published},
tppubtype = {inproceedings}
}
The use of Personal Digital Assistants (PDAs) with ad-hoc built-in information retrieval and auto-localization functionalities can help people navigating an environment in a more natural manner compared to traditional audio/visual pre-recorded guides. In this work we propose and discuss a user-friendly, multi-modal guide system for pervasive context-aware service provision within augmented environments. The proposed system is adaptable to the user needs of mobility within a given environment; it is usable on different mobile devices and in particular on PDAs, which are used as advanced adaptive HEI (human-environment interaction) interfaces. An information retrieval service is provided that is easily accessible through spoken language interaction in cooperation with an auto-localization service. The interaction is enabled by speech recognition and synthesis technologies, and by a ChatBot system, endowed with common sense reasoning capabilities to properly interpret user speech and provide him with the requested information. This interaction mode turns to be more natural, and users are required to have only basic skills on the use of PDAs. The auto-localization service relies on a RFID-based framework, which resides partly in the mobile side of the entire system (PDAs), and partly in the environment side. In particular, RFID technology allows the system to provide users with context-related information. An implemented case study is showed that illustrates service provision in an augmented environment within university campus settings (termed "Augmented Campus"). Lastly, a discussion about user experiences while using trial services within the Augmented Campus is given. textcopyright Copyright 2007 ACM.
Sorce, Salvatore; Augello, Agnese; Santangelo, Antonella; Pilato, Giovanni; Gentile, Antonio; Genco, Alessandro; Gaglio, Salvatore
A multimodal guide for the augmented campus Proceedings Article
In: Proceedings ACM SIGUCCS User Services Conference, pp. 325–331, 2007, ISBN: 978-1-59593-634-9.
Abstract | Links | BibTeX | Tags: Human computer interaction, Information Retrieval, Multimodal Interaction
@inproceedings{sorce_multimodal_2007,
title = {A multimodal guide for the augmented campus},
author = {Salvatore Sorce and Agnese Augello and Antonella Santangelo and Giovanni Pilato and Antonio Gentile and Alessandro Genco and Salvatore Gaglio},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-41149136230&doi=10.1145%2f1294046.1294123&partnerID=40&md5=629ffe213d018d4e0f6f8383f8eb7ecb},
doi = {10.1145/1294046.1294123},
isbn = {978-1-59593-634-9},
year = {2007},
date = {2007-01-01},
booktitle = {Proceedings ACM SIGUCCS User Services Conference},
pages = {325–331},
abstract = {The use of Personal Digital Assistants (PDAs) with ad-hoc built-in information retrieval and auto-localization functionalities can help people navigating an environment in a more natural manner compared to traditional audio/visual pre-recorded guides. In this work we propose and discuss a user-friendly, multi-modal guide system for pervasive context-aware service provision within augmented environments. The proposed system is adaptable to the user needs of mobility within a given environment; it is usable on different mobile devices and in particular on PDAs, which are used as advanced adaptive HEI (human-environment interaction) interfaces. An information retrieval service is provided that is easily accessible through spoken language interaction in cooperation with an auto-localization service. The interaction is enabled by speech recognition and synthesis technologies, and by a ChatBot system, endowed with common sense reasoning capabilities to properly interpret user speech and provide him with the requested information. This interaction mode turns to be more natural, and users are required to have only basic skills on the use of PDAs. The auto-localization service relies on a RFID-based framework, which resides partly in the mobile side of the entire system (PDAs), and partly in the environment side. In particular, RFID technology allows the system to provide users with context-related information. An implemented case study is showed that illustrates service provision in an augmented environment within university campus settings (termed "Augmented Campus"). Lastly, a discussion about user experiences while using trial services within the Augmented Campus is given. © Copyright 2007 ACM.},
keywords = {Human computer interaction, Information Retrieval, Multimodal Interaction},
pubstate = {published},
tppubtype = {inproceedings}
}
The use of Personal Digital Assistants (PDAs) with ad-hoc built-in information retrieval and auto-localization functionalities can help people navigating an environment in a more natural manner compared to traditional audio/visual pre-recorded guides. In this work we propose and discuss a user-friendly, multi-modal guide system for pervasive context-aware service provision within augmented environments. The proposed system is adaptable to the user needs of mobility within a given environment; it is usable on different mobile devices and in particular on PDAs, which are used as advanced adaptive HEI (human-environment interaction) interfaces. An information retrieval service is provided that is easily accessible through spoken language interaction in cooperation with an auto-localization service. The interaction is enabled by speech recognition and synthesis technologies, and by a ChatBot system, endowed with common sense reasoning capabilities to properly interpret user speech and provide him with the requested information. This interaction mode turns to be more natural, and users are required to have only basic skills on the use of PDAs. The auto-localization service relies on a RFID-based framework, which resides partly in the mobile side of the entire system (PDAs), and partly in the environment side. In particular, RFID technology allows the system to provide users with context-related information. An implemented case study is showed that illustrates service provision in an augmented environment within university campus settings (termed "Augmented Campus"). Lastly, a discussion about user experiences while using trial services within the Augmented Campus is given. © Copyright 2007 ACM.
2005
Pilato, Giovanni; Vassallo, Giorgio; Vasile, Maria; Augello, Agnese; Gaglio, Salvatore
A Simple Solution for Improving the Effectiveness of Traditional Information Retrieval Systems Proceedings Article
In: Proceedings of the 4th WSEAS International Conference on Software Engineering, Parallel & Distributed Systems, World Scientific and Engineering Academy and Society (WSEAS), Stevens Point, Wisconsin, USA, 2005, ISBN: 960-8457-09-2.
Abstract | BibTeX | Tags: Human computer interaction, Information Retrieval, Latent Semantic Analysis, Semantic Spaces
@inproceedings{pilatoSimpleSolutionImproving2005,
title = {A Simple Solution for Improving the Effectiveness of Traditional Information Retrieval Systems},
author = { Giovanni Pilato and Giorgio Vassallo and Maria Vasile and Agnese Augello and Salvatore Gaglio},
isbn = {960-8457-09-2},
year = {2005},
date = {2005-01-01},
booktitle = {Proceedings of the 4th WSEAS International Conference on Software Engineering, Parallel & Distributed Systems},
publisher = {World Scientific and Engineering Academy and Society (WSEAS)},
address = {Stevens Point, Wisconsin, USA},
series = {SEPADS'05},
abstract = {In this paper we present a system based on the LSA paradigm to improve the performance of a traditional information retrieval system. The proposed system aims to improve both the recall and the precision capabilities of traditional search engines thanks to a semantic query expansion and a subsequent semantic results filtering. A collection of 650 documents has been used to compare the performances of the proposed system with a traditional search engine. Experimental trials show the effectiveness of the proposed solution.},
keywords = {Human computer interaction, Information Retrieval, Latent Semantic Analysis, Semantic Spaces},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper we present a system based on the LSA paradigm to improve the performance of a traditional information retrieval system. The proposed system aims to improve both the recall and the precision capabilities of traditional search engines thanks to a semantic query expansion and a subsequent semantic results filtering. A collection of 650 documents has been used to compare the performances of the proposed system with a traditional search engine. Experimental trials show the effectiveness of the proposed solution.
Pilato, Giovanni; Vassallo, Giorgio; Vasile, Maria; Augello, Agnese; Gaglio, Salvatore
A Simple Solution for Improving the Effectiveness of Traditional Information Retrieval Systems Proceedings Article
In: Proceedings of the 4th WSEAS International Conference on Software Engineering, Parallel & Distributed Systems, World Scientific and Engineering Academy and Society (WSEAS), Stevens Point, Wisconsin, USA, 2005, ISBN: 960-8457-09-2.
Abstract | BibTeX | Tags: Human computer interaction, Information Retrieval, Latent Semantic Analysis, Semantic Spaces
@inproceedings{pilato_simple_2005,
title = {A Simple Solution for Improving the Effectiveness of Traditional Information Retrieval Systems},
author = {Giovanni Pilato and Giorgio Vassallo and Maria Vasile and Agnese Augello and Salvatore Gaglio},
isbn = {960-8457-09-2},
year = {2005},
date = {2005-01-01},
booktitle = {Proceedings of the 4th WSEAS International Conference on Software Engineering, Parallel & Distributed Systems},
publisher = {World Scientific and Engineering Academy and Society (WSEAS)},
address = {Stevens Point, Wisconsin, USA},
series = {SEPADS'05},
abstract = {In this paper we present a system based on the LSA paradigm to improve the performance of a traditional information retrieval system. The proposed system aims to improve both the recall and the precision capabilities of traditional search engines thanks to a semantic query expansion and a subsequent semantic results filtering. A collection of 650 documents has been used to compare the performances of the proposed system with a traditional search engine. Experimental trials show the effectiveness of the proposed solution.},
keywords = {Human computer interaction, Information Retrieval, Latent Semantic Analysis, Semantic Spaces},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper we present a system based on the LSA paradigm to improve the performance of a traditional information retrieval system. The proposed system aims to improve both the recall and the precision capabilities of traditional search engines thanks to a semantic query expansion and a subsequent semantic results filtering. A collection of 650 documents has been used to compare the performances of the proposed system with a traditional search engine. Experimental trials show the effectiveness of the proposed solution.