�ݺ�ߣshows by User: RiccardoAlbertoni

�ݺ�ߣshows by User: RiccardoAlbertoni / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: RiccardoAlbertoni / Mon, 01 Jun 2015 09:37:43 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: RiccardoAlbertoni Albertoni ldq workshop ESWC 2015 /slideshow/albertoni-ldq-workshop-eswc-2015/48832818 albertonildqworkshop1toshare-150601093743-lva1-app6892
Very limited attention has been dedicated to the quality of linksets, the connections of information belonging to distinct datasets, that might be as important as dataset's quality when consuming Linked Data. In this paper, we present a rst linkset quality measure proposing a function able to estimate the new information gained through linksets among SKOS thesauri. A scoring function, the linkset importing is provided focusing on the multilingual gain, in terms of the new translated labels, obtained by complementing a SKOS thesaurus through skos:exactMatch links. We finally discuss how the linkset importing can be signicantly used in the context of the EU project eENVplus.]]>
Very limited attention has been dedicated to the quality of linksets, the connections of information belonging to distinct datasets, that might be as important as dataset's quality when consuming Linked Data. In this paper, we present a rst linkset quality measure proposing a function able to estimate the new information gained through linksets among SKOS thesauri. A scoring function, the linkset importing is provided focusing on the multilingual gain, in terms of the new translated labels, obtained by complementing a SKOS thesaurus through skos:exactMatch links. We finally discuss how the linkset importing can be signicantly used in the context of the EU project eENVplus.]]> Mon, 01 Jun 2015 09:37:43 GMT /slideshow/albertoni-ldq-workshop-eswc-2015/48832818 RiccardoAlbertoni@slideshare.net(RiccardoAlbertoni) Albertoni ldq workshop ESWC 2015 RiccardoAlbertoni Very limited attention has been dedicated to the quality of linksets, the connections of information belonging to distinct datasets, that might be as important as dataset's quality when consuming Linked Data. In this paper, we present a �rst linkset quality measure proposing a function able to estimate the new information gained through linksets among SKOS thesauri. A scoring function, the linkset importing is provided focusing on the multilingual gain, in terms of the new translated labels, obtained by complementing a SKOS thesaurus through skos:exactMatch links. We �finally discuss how the linkset importing can be signi�cantly used in the context of the EU project eENVplus. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/albertonildqworkshop1toshare-150601093743-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /> Very limited attention has been dedicated to the quality of linksets, the connections of information belonging to distinct datasets, that might be as important as dataset's quality when consuming Linked Data. In this paper, we present a �rst linkset quality measure proposing a function able to estimate the new information gained through linksets among SKOS thesauri. A scoring function, the linkset importing is provided focusing on the multilingual gain, in terms of the new translated labels, obtained by complementing a SKOS thesaurus through skos:exactMatch links. We �finally discuss how the linkset importing can be signi�cantly used in the context of the EU project eENVplus.

Albertoni ldq workshop ESWC 2015 from Riccardo Albertoni

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0 Environmental Thesauri �Under the Lens of Reusability (EGOVIS 2014) /slideshow/environmental-thesauri-under-the-lens-of-reusability-egovis-2014/38821165 egovis20144slideshare-140908071805-phpapp01
The development of a Spatial Data Infrastructure (SDI) at European level is strategic to answer the needs of environmental management requested by the European, national and local policies. Several European projects and initiatives aim to share, integrate and make accessible large amount of environmental data in order to overcome cross- border/language/cultural barriers. To this purpose, environmental thesauri are used as shared nomenclatures in metadata compilation and information discovery, and they are increasingly made available on the web. This paper provides a methodological approach for creating a catalogue of the environmental thesauri available on the web and assessing their reusability with respect to domain independent criteria. It highlights critical issues providing some recommendations for improving thesauri reusability.]]>
The development of a Spatial Data Infrastructure (SDI) at European level is strategic to answer the needs of environmental management requested by the European, national and local policies. Several European projects and initiatives aim to share, integrate and make accessible large amount of environmental data in order to overcome cross- border/language/cultural barriers. To this purpose, environmental thesauri are used as shared nomenclatures in metadata compilation and information discovery, and they are increasingly made available on the web. This paper provides a methodological approach for creating a catalogue of the environmental thesauri available on the web and assessing their reusability with respect to domain independent criteria. It highlights critical issues providing some recommendations for improving thesauri reusability.]]> Mon, 08 Sep 2014 07:18:05 GMT /slideshow/environmental-thesauri-under-the-lens-of-reusability-egovis-2014/38821165 RiccardoAlbertoni@slideshare.net(RiccardoAlbertoni) Environmental Thesauri �Under the Lens of Reusability (EGOVIS 2014) RiccardoAlbertoni The development of a Spatial Data Infrastructure (SDI) at European level is strategic to answer the needs of environmental management requested by the European, national and local policies. Several European projects and initiatives aim to share, integrate and make accessible large amount of environmental data in order to overcome cross- border/language/cultural barriers. To this purpose, environmental thesauri are used as shared nomenclatures in metadata compilation and information discovery, and they are increasingly made available on the web. This paper provides a methodological approach for creating a catalogue of the environmental thesauri available on the web and assessing their reusability with respect to domain independent criteria. It highlights critical issues providing some recommendations for improving thesauri reusability. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/egovis20144slideshare-140908071805-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> The development of a Spatial Data Infrastructure (SDI) at European level is strategic to answer the needs of environmental management requested by the European, national and local policies. Several European projects and initiatives aim to share, integrate and make accessible large amount of environmental data in order to overcome cross- border/language/cultural barriers. To this purpose, environmental thesauri are used as shared nomenclatures in metadata compilation and information discovery, and they are increasingly made available on the web. This paper provides a methodological approach for creating a catalogue of the environmental thesauri available on the web and assessing their reusability with respect to domain independent criteria. It highlights critical issues providing some recommendations for improving thesauri reusability.

Environmental Thesauri Under the Lens of Reusability (EGOVIS 2014) from Riccardo Albertoni

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0 Presentation at MTSR 2012 /slideshow/presentation-at-mt-2012/32751700 mtrsslideshareversion-140326045252-phpapp02
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]]> Wed, 26 Mar 2014 04:52:52 GMT /slideshow/presentation-at-mt-2012/32751700 RiccardoAlbertoni@slideshare.net(RiccardoAlbertoni) Presentation at MTSR 2012 RiccardoAlbertoni <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mtrsslideshareversion-140326045252-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" />

Presentation at MTSR 2012 from Riccardo Albertoni

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0 LusTRE: a Linked Thesaurus fRamework for Environment /slideshow/paper33-slides/31576112 paper33-slides-140224095605-phpapp01
Short presentation at LOD2014, 21 February 2014, Rome,Italy ]]>
Short presentation at LOD2014, 21 February 2014, Rome,Italy ]]> Mon, 24 Feb 2014 09:56:04 GMT /slideshow/paper33-slides/31576112 RiccardoAlbertoni@slideshare.net(RiccardoAlbertoni) LusTRE: a Linked Thesaurus fRamework for Environment RiccardoAlbertoni Short presentation at LOD2014, 21 February 2014, Rome,Italy <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/paper33-slides-140224095605-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Short presentation at LOD2014, 21 February 2014, Rome,Italy

LusTRE: a Linked Thesaurus fRamework for Environment from Riccardo Albertoni

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0 Linkset quality (LWDM 2013) /slideshow/linkset-quality-lwdm-2013/21340287 linksetqualitylwdm34slideshare-130517112252-phpapp01
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]]> Fri, 17 May 2013 11:22:52 GMT /slideshow/linkset-quality-lwdm-2013/21340287 RiccardoAlbertoni@slideshare.net(RiccardoAlbertoni) Linkset quality (LWDM 2013) RiccardoAlbertoni <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/linksetqualitylwdm34slideshare-130517112252-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

Linkset quality (LWDM 2013) from Riccardo Albertoni

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0 Linkset quality /slideshow/linkset-quality/16832367 linksetqualitylwdmforslideslare-130228072439-phpapp02
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]]> Thu, 28 Feb 2013 07:24:39 GMT /slideshow/linkset-quality/16832367 RiccardoAlbertoni@slideshare.net(RiccardoAlbertoni) Linkset quality RiccardoAlbertoni <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/linksetqualitylwdmforslideslare-130228072439-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" />

Linkset quality from Riccardo Albertoni

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0 SSONDE: Semantic Similarity On liNked Data Entities /slideshow/ssonde-demo-toshare/14586131 ssondedemotoshare-121004050826-phpapp01
A short introduction SSONDE, presentation for OEG group]]>
A short introduction SSONDE, presentation for OEG group]]> Thu, 04 Oct 2012 05:08:26 GMT /slideshow/ssonde-demo-toshare/14586131 RiccardoAlbertoni@slideshare.net(RiccardoAlbertoni) SSONDE: Semantic Similarity On liNked Data Entities RiccardoAlbertoni A short introduction SSONDE, presentation for OEG group <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ssondedemotoshare-121004050826-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> A short introduction SSONDE, presentation for OEG group

SSONDE: Semantic Similarity On liNked Data Entities from Riccardo Albertoni

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0 An ontology driven module for accessing chronic pathology literature- CHRONIOUS-Swws2011 /slideshow/an-ontology-driven-module-for-accessing-chronic-pathology-literature-chroniousswws2011/9858432 swws2011toshare-111024094723-phpapp01
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]]> Mon, 24 Oct 2011 09:47:21 GMT /slideshow/an-ontology-driven-module-for-accessing-chronic-pathology-literature-chroniousswws2011/9858432 RiccardoAlbertoni@slideshare.net(RiccardoAlbertoni) An ontology driven module for accessing chronic pathology literature- CHRONIOUS-Swws2011 RiccardoAlbertoni <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/swws2011toshare-111024094723-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

An ontology driven module for accessing chronic pathology literature- CHRONIOUS-Swws2011 from Riccardo Albertoni

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0 Semantic Similarity Assessment to Browse Resources exposed as Linked Data: an Application to Habitat and Species Datasets /slideshow/semantic-similarity-assessment-to-browse-resources-exposed-as-linked-data-an-application-to-habitat-and-species-datasets-8480654/8480654 inspirepresentation-pptx-110701092657-phpapp01
INSPIRE 2011, slideshow]]>
INSPIRE 2011, slideshow]]> Fri, 01 Jul 2011 09:26:55 GMT /slideshow/semantic-similarity-assessment-to-browse-resources-exposed-as-linked-data-an-application-to-habitat-and-species-datasets-8480654/8480654 RiccardoAlbertoni@slideshare.net(RiccardoAlbertoni) Semantic Similarity Assessment to Browse Resources exposed as Linked Data: an Application to Habitat and Species Datasets RiccardoAlbertoni INSPIRE 2011, slideshow <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/inspirepresentation-pptx-110701092657-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> INSPIRE 2011, slideshow

Semantic Similarity Assessment to Browse Resources exposed as Linked Data: an Application to Habitat and Species Datasets from Riccardo Albertoni

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0 Semantic Similarity and Selection of Resources Published According to Linked Data Best Practice /slideshow/semantic-similarity-and-selection-of-resources-published-according-to-linked-data-best-practice/5596114 albertonir2-101028093326-phpapp02
The position paper aims at discussing the potential of exploiting linked data best practice to provide metadata documenting domain specific resources created through verbose acquisition-processing pipelines. It argues that resource selection, namely the process engaged to choose a set of resources suitable for a given analysis/design purpose, must be supported by a deep comparison of their metadata. The semantic similarity proposed in our previous works is discussed for this purpose and the main issues to make it scale up to the web of data are introduced. Discussed issues contribute beyond the re-engineering of our similarity since they largely apply to every tool which is going to exploit information made available as linked data. A research plan and an exploratory phase facing the presented issues are described remarking the lessons we have learnt so far.]]>
The position paper aims at discussing the potential of exploiting linked data best practice to provide metadata documenting domain specific resources created through verbose acquisition-processing pipelines. It argues that resource selection, namely the process engaged to choose a set of resources suitable for a given analysis/design purpose, must be supported by a deep comparison of their metadata. The semantic similarity proposed in our previous works is discussed for this purpose and the main issues to make it scale up to the web of data are introduced. Discussed issues contribute beyond the re-engineering of our similarity since they largely apply to every tool which is going to exploit information made available as linked data. A research plan and an exploratory phase facing the presented issues are described remarking the lessons we have learnt so far.]]> Thu, 28 Oct 2010 09:33:21 GMT /slideshow/semantic-similarity-and-selection-of-resources-published-according-to-linked-data-best-practice/5596114 RiccardoAlbertoni@slideshare.net(RiccardoAlbertoni) Semantic Similarity and Selection of Resources Published According to Linked Data Best Practice RiccardoAlbertoni The position paper aims at discussing the potential of exploiting linked data best practice to provide metadata documenting domain specific resources created through verbose acquisition-processing pipelines. It argues that resource selection, namely the process engaged to choose a set of resources suitable for a given analysis/design purpose, must be supported by a deep comparison of their metadata. The semantic similarity proposed in our previous works is discussed for this purpose and the main issues to make it scale up to the web of data are introduced. Discussed issues contribute beyond the re-engineering of our similarity since they largely apply to every tool which is going to exploit information made available as linked data. A research plan and an exploratory phase facing the presented issues are described remarking the lessons we have learnt so far. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/albertonir2-101028093326-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> The position paper aims at discussing the potential of exploiting linked data best practice to provide metadata documenting domain specific resources created through verbose acquisition-processing pipelines. It argues that resource selection, namely the process engaged to choose a set of resources suitable for a given analysis/design purpose, must be supported by a deep comparison of their metadata. The semantic similarity proposed in our previous works is discussed for this purpose and the main issues to make it scale up to the web of data are introduced. Discussed issues contribute beyond the re-engineering of our similarity since they largely apply to every tool which is going to exploit information made available as linked data. A research plan and an exploratory phase facing the presented issues are described remarking the lessons we have learnt so far.

Semantic Similarity and Selection of Resources Published According to Linked Data Best Practice from Riccardo Albertoni

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0 SKOS and semantic web best practice to access terminological resources: NatureSDIPlus and CHRONIOUS hand-on experience /slideshow/skos-and-semantic-web-best-practice-to-access-terminological-resources-naturesdiplus-and-chronious-handon-experience/5183977 nkosalbertoni-100912082955-phpapp01
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]]> Sun, 12 Sep 2010 08:29:51 GMT /slideshow/skos-and-semantic-web-best-practice-to-access-terminological-resources-naturesdiplus-and-chronious-handon-experience/5183977 RiccardoAlbertoni@slideshare.net(RiccardoAlbertoni) SKOS and semantic web best practice to access terminological resources: NatureSDIPlus and CHRONIOUS hand-on experience RiccardoAlbertoni <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nkosalbertoni-100912082955-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

SKOS and semantic web best practice to access terminological resources: NatureSDIPlus and CHRONIOUS hand-on experience from Riccardo Albertoni

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0 https://cdn.slidesharecdn.com/profile-photo-RiccardoAlbertoni-48x48.jpg?cb=1739890502 Riccardo Albertoni received his degree in Computer Science from the University of Genoa in December 2001. He got a Ph.D. in Electronic and Computer Engineering in April 2007. He has been working at the Institute of Applied Mathematics and Information Technology, which is part of the Italian National Research Council, for ten years, as a research fellow at first and as a researcher later. His research activity has focused on Knowledge Management: Data Visualization, Metadata Analysis, Ontologies, Semantic Similarity and Semantic Granularity. Since 2009 his research interests have moved on linked data: exploiting linked data principles to publish and interlink Environmental Thesauri; dep... http://purl.oclc.org/NET/riccardoAlbertoni https://cdn.slidesharecdn.com/ss_thumbnails/albertonildqworkshop1toshare-150601093743-lva1-app6892-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/albertoni-ldq-workshop-eswc-2015/48832818 Albertoni ldq workshop... https://cdn.slidesharecdn.com/ss_thumbnails/egovis20144slideshare-140908071805-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/environmental-thesauri-under-the-lens-of-reusability-egovis-2014/38821165 Environmental Thesauri... https://cdn.slidesharecdn.com/ss_thumbnails/mtrsslideshareversion-140326045252-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/presentation-at-mt-2012/32751700 Presentation at MTSR 2012