Page 1. Accessing Data Through Ontologies with ONDA Piero Cangialosi, Carlo Consoli, IBM Global B... more Page 1. Accessing Data Through Ontologies with ONDA Piero Cangialosi, Carlo Consoli, IBM Global Business Services, Strategy & Change Via Sciangai 53, 00144 Rome, Italy {piero.cangialosi,carlo.consoli}@it.ibm.com Alessandro Faraotti, Guido Vetere ...
As the literature highlights, many health behavior theories try to explain both social and psycho... more As the literature highlights, many health behavior theories try to explain both social and psychological variables influencing an individual’s health behavior. This study integrates insights relative to the antecedents of getting vaccinated from health behavior theories, particularly including the health belief model (HBM), the theory of planned behavior (TPB), and the different socio-demographic factors. Furthermore, we considered the possible mechanism of impact of distrust in science on individuals’ hesitance and resistance to taking up SARS-CoV-2 vaccination in subjects living in Italy. A correlational study of 1095 subjects enrolled when the national vaccination campaign for the third dose was launched. A questionnaire was used to measure: Italian Risk Perception; subjective norm; trust in science, trust in the vaccine; fear of COVID-19; fear of the vaccine; perceived knowledge about SARS-CoV-2; booster vaccination intention. Principal results show that: (i) the positive relati...
Proceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research - CASCON '10, 2010
Page 1. Accessing Data Through Ontologies with ONDA Piero Cangialosi, Carlo Consoli, IBM Global B... more Page 1. Accessing Data Through Ontologies with ONDA Piero Cangialosi, Carlo Consoli, IBM Global Business Services, Strategy & Change Via Sciangai 53, 00144 Rome, Italy {piero.cangialosi,carlo.consoli}@it.ibm.com Alessandro Faraotti, Guido Vetere ...
This is an industry report about a software development project that included a local team and an... more This is an industry report about a software development project that included a local team and an offshore team. Both teams contained highly qualified experts who had been selected before the project start up. After a year, which could be deemed as a break-in period, the project leaders observed that the quality and quantity of the software modules produced by the two teams were not up to expectation while costs had gone up. The manage-ment monitored the performance of the two groups by analysing the tests undertaken to ensure correctness of the modules. They reached the conclusion that the project failurewas influenced by cultural differences between the onshore and offshore teams. The management became convinced that the current work-organization prevented knowledge delivery and knowledge acquisition, so they established a new organization as the solution to this problem. A rapid validation of the newwork arrangement convinced all the involved experts that the diagnosis was right.
Semantically tagging a corpus is useful for many intermediate NLP tasks such as: acquisition of w... more Semantically tagging a corpus is useful for many intermediate NLP tasks such as: acquisition of word argument structures in sublanguages, acquisition of syntactic disambiguation cues, terminology learning, etc. Semantic categories allow the generalization of observed word patterns. and facilitate the discovery of recurrent sublanguage phenomena and selectional rules of various types. Yet, as opposed to POS tags in morphology. there is no consensus in literature about the type and granularity of the category inventory. In addition, most available on-line taxonomies, as WordNet, are over ambiguous and, at the same time, may not include many domain-dependent senses of words. In this paper we describe a method to adapt a general purpose taxonomy to an application sublanguage: first, we prune branches of the Wordnet hierarchy that are too "fine grained" for the domain: then, a statistical model of classes is built from corpus contexts to sort the different classifications or as...
Semantically tagging a corpus is useful for many intermediate NLP tasks such as: acquisition of w... more Semantically tagging a corpus is useful for many intermediate NLP tasks such as: acquisition of word argument structures in sublanguages, acquisition of syntactic disambiguation cues, terminology learning, etc. Semantic categories allow the generalization of observed word patterns, and facilitate the discovery of irecurrent sublanguage phenomena and selectional rules of various types. Yet, as opposed to POS tags in morphology, there is no consensus in literature about the type and granularity of the category inventory. In addition, most available on-line taxonomies, as WordNet, are over ambiguous and, at the same time, may not include many domain-dependent senses of words. In this paper we describe a method to adapt a general purpose taxonomy to an application sub[anguage: flint, we prune branches of the Wordnet hierarchy that are too " fine grained" for the domain: then. a statistical model of classes is built from corpus contexts to sort the different classifications or ...
This paper addresses the management of a software project developed by two groups of professional... more This paper addresses the management of a software project developed by two groups of professionals, one working locally and the other one working off-shore. After the startup period lasting nearly a year, the project leaders observed that the quality and quantity of the software modules produced by the two teams were not up to expectations while costs had grown up. The project leaders analyzed the types and the amount of software tests required to ensure the quality of the software product. Finally, the management found out that the knowledge transfer process was the real root-causes of the project downfall. The leaders established a new organization as the solution to this problem. They replaced the two large teams with small groups to make communication and cooperation amongst people easier. Immediate evidence has demonstrated the effectiveness of this arrangement. Keywordslarge software project; project management; offshoring.
Page 1. Accessing Data Through Ontologies with ONDA Piero Cangialosi, Carlo Consoli, IBM Global B... more Page 1. Accessing Data Through Ontologies with ONDA Piero Cangialosi, Carlo Consoli, IBM Global Business Services, Strategy & Change Via Sciangai 53, 00144 Rome, Italy {piero.cangialosi,carlo.consoli}@it.ibm.com Alessandro Faraotti, Guido Vetere ...
As the literature highlights, many health behavior theories try to explain both social and psycho... more As the literature highlights, many health behavior theories try to explain both social and psychological variables influencing an individual’s health behavior. This study integrates insights relative to the antecedents of getting vaccinated from health behavior theories, particularly including the health belief model (HBM), the theory of planned behavior (TPB), and the different socio-demographic factors. Furthermore, we considered the possible mechanism of impact of distrust in science on individuals’ hesitance and resistance to taking up SARS-CoV-2 vaccination in subjects living in Italy. A correlational study of 1095 subjects enrolled when the national vaccination campaign for the third dose was launched. A questionnaire was used to measure: Italian Risk Perception; subjective norm; trust in science, trust in the vaccine; fear of COVID-19; fear of the vaccine; perceived knowledge about SARS-CoV-2; booster vaccination intention. Principal results show that: (i) the positive relati...
Proceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research - CASCON '10, 2010
Page 1. Accessing Data Through Ontologies with ONDA Piero Cangialosi, Carlo Consoli, IBM Global B... more Page 1. Accessing Data Through Ontologies with ONDA Piero Cangialosi, Carlo Consoli, IBM Global Business Services, Strategy & Change Via Sciangai 53, 00144 Rome, Italy {piero.cangialosi,carlo.consoli}@it.ibm.com Alessandro Faraotti, Guido Vetere ...
This is an industry report about a software development project that included a local team and an... more This is an industry report about a software development project that included a local team and an offshore team. Both teams contained highly qualified experts who had been selected before the project start up. After a year, which could be deemed as a break-in period, the project leaders observed that the quality and quantity of the software modules produced by the two teams were not up to expectation while costs had gone up. The manage-ment monitored the performance of the two groups by analysing the tests undertaken to ensure correctness of the modules. They reached the conclusion that the project failurewas influenced by cultural differences between the onshore and offshore teams. The management became convinced that the current work-organization prevented knowledge delivery and knowledge acquisition, so they established a new organization as the solution to this problem. A rapid validation of the newwork arrangement convinced all the involved experts that the diagnosis was right.
Semantically tagging a corpus is useful for many intermediate NLP tasks such as: acquisition of w... more Semantically tagging a corpus is useful for many intermediate NLP tasks such as: acquisition of word argument structures in sublanguages, acquisition of syntactic disambiguation cues, terminology learning, etc. Semantic categories allow the generalization of observed word patterns. and facilitate the discovery of recurrent sublanguage phenomena and selectional rules of various types. Yet, as opposed to POS tags in morphology. there is no consensus in literature about the type and granularity of the category inventory. In addition, most available on-line taxonomies, as WordNet, are over ambiguous and, at the same time, may not include many domain-dependent senses of words. In this paper we describe a method to adapt a general purpose taxonomy to an application sublanguage: first, we prune branches of the Wordnet hierarchy that are too "fine grained" for the domain: then, a statistical model of classes is built from corpus contexts to sort the different classifications or as...
Semantically tagging a corpus is useful for many intermediate NLP tasks such as: acquisition of w... more Semantically tagging a corpus is useful for many intermediate NLP tasks such as: acquisition of word argument structures in sublanguages, acquisition of syntactic disambiguation cues, terminology learning, etc. Semantic categories allow the generalization of observed word patterns, and facilitate the discovery of irecurrent sublanguage phenomena and selectional rules of various types. Yet, as opposed to POS tags in morphology, there is no consensus in literature about the type and granularity of the category inventory. In addition, most available on-line taxonomies, as WordNet, are over ambiguous and, at the same time, may not include many domain-dependent senses of words. In this paper we describe a method to adapt a general purpose taxonomy to an application sub[anguage: flint, we prune branches of the Wordnet hierarchy that are too " fine grained" for the domain: then. a statistical model of classes is built from corpus contexts to sort the different classifications or ...
This paper addresses the management of a software project developed by two groups of professional... more This paper addresses the management of a software project developed by two groups of professionals, one working locally and the other one working off-shore. After the startup period lasting nearly a year, the project leaders observed that the quality and quantity of the software modules produced by the two teams were not up to expectations while costs had grown up. The project leaders analyzed the types and the amount of software tests required to ensure the quality of the software product. Finally, the management found out that the knowledge transfer process was the real root-causes of the project downfall. The leaders established a new organization as the solution to this problem. They replaced the two large teams with small groups to make communication and cooperation amongst people easier. Immediate evidence has demonstrated the effectiveness of this arrangement. Keywordslarge software project; project management; offshoring.
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