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  • × author_ss:"Maltese, V."
  1. Giunchiglia, F.; Dutta, B.; Maltese, V.: From knowledge organization to knowledge representation (2014) 0.02 
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    Abstract
    So far, within the library and information science (LIS) community, knowledge organization (KO) has developed its own very successful solutions to document search, allowing for the classification, indexing and search of millions of books. However, current KO solutions are limited in expressivity as they only support queries by document properties, e.g., by title, author and subject. In parallel, within the artificial intelligence and semantic web communities, knowledge representation (KR) has developed very powerful end expressive techniques, which via the use of ontologies support queries by any entity property (e.g., the properties of the entities described in a document). However, KR has not scaled yet to the level of KO, mainly because of the lack of a precise and scalable entity specification methodology. In this paper we present DERA, a new methodology inspired by the faceted approach, as introduced in KO, that retains all the advantages of KR and compensates for the limitations of KO. DERA guarantees at the same time quality, extensibility, scalability and effectiveness in search.
    Content
    Papers from the ISKO-UK Biennial Conference, "Knowledge Organization: Pushing the Boundaries," United Kingdom, 8-9 July, 2013, London.
    Source
    Knowledge organization. 41(2014) no.1, S.44-56
  2. Maltese, V.; Farazi, F.: Towards the integration of knowledge organization systems with the linked data cloud (2011) 0.02 
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    Abstract
    In representing the shared view of all the people involved, building a Knowledge Organization System (KOS) from scratch is extremely costly, and it is therefore fundamental to reuse existing resources. This can be done by progressively extending the KOS with knowledge coming from similar KOS and by promoting interoperability among them. The linked data initiative is indeed fostering people to share and integrate their datasets into a giant network of interconnected resources. This enables different applications to interoperate and share their data. However, the integration should take into account the purpose of the datasets and make explicit the semantics. In fact, the difference in the purpose is reflected in the difference in the semantics. With this paper we (a) highlight the potential problems that may arise by not taking into account purpose and semantics, (b) make clear how the difference in the purpose is reflected in totally different semantics and (c) provide an algorithm to translate from one semantic into another as a preliminary step towards the integration of ontologies designed for different purposes. This will allow reusing the ontologies even in contexts different from those in which they were designed.
    Imprint
    Trento : University of Trento / Department of Information engineering and Computer Science
  3. Maltese, V.; Farazi, F.: Towards the integration of knowledge organization systems with the linked data cloud (2011) 0.01 
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    Abstract
    In representing the shared view of all the people involved, building a knowledge organization system (KOS) from scratch is extremely costly, and it is therefore fundamental to reuse existing resources. This can be done by progressively extending the KOS with knowledge coming from similar KOSs and by promoting interoperability among them. The linked data initiative is indeed encouraging people to share and integrate their datasets into a giant network of interconnected resources. This enables different applications to interoperate and share their data. The integration should take into account the purpose of the datasets, however, and make explicit the semantics. In fact, the difference in the purpose is reflected in the difference in the semantics. With this paper we (a) highlight the potential problems that may arise by not taking into account purpose and semantics; (b) make clear how the difference in the purpose is reflected in totally different semantics and (c) provide an algorithm to translate from one semantics into another as a preliminary step towards the integration of ontologies designed for different purposes. This will allow reusing the ontologies even in contexts different from those in which they were designed.
  4. Maltese, V.: Digital transformation challenges for universities : ensuring information consistency across digital services (2018) 0.01 
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    Abstract
    Universities struggle to offer complete, up-to-date and consistent information about their key assets to their numerous users across various digital services and communication channels. Key assets include people, papers, books, dissertations, patents, courses, and research projects. The main difficulty stands in the intrinsic data fragmentation and data diversity: data about the key assets is scattered across multiple information silos, data is often duplicated and difficult to correlate due to the diversity in the format, metadata, conventions, and terminology used. We illustrate how this difficulty can be tackled and describe the work carried out at the University of Trento in Italy.
  5. Giunchiglia, F.; Maltese, V.; Dutta, B.: Domains and context : first steps towards managing diversity in knowledge (2011) 0.00 
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    Imprint
    Trento : University of Trento / Department of Information engineering and Computer Science

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