digital venice-rgrosso-slides4

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LINKED OPEN METADATA AND ONTOLOGIES My name is Riccardo Grosso ( [email protected] ) I am an hobbyst metadata architect Actually I work at the datacenter of the CSI- Piemonte For many years I worked in metadata architecture, first in other companies, then in CSI-Piemonte This passion has filled a lot of my free time The first thanks goes to the CSI if I continue to cultivate this passion with new ideas in my free time The first ex equo thanks to Carlo Batini & Matteo Palmonari of Milan-Bicocca University, Roberto Moriondo of Piedmont Region

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Page 1: Digital venice-rgrosso-slides4

LINKED OPEN METADATA AND ONTOLOGIES

• My name is Riccardo Grosso ([email protected])

• I am an hobbyst metadata architect • Actually I work at the datacenter of the CSI-Piemonte• For many years I worked in metadata architecture,

first in other companies, then in CSI-Piemonte• This passion has filled a lot of my free time• The first thanks goes to the CSI if I continue to

cultivate this passion with new ideas in my free time• The first ex equo thanks to Carlo Batini & Matteo

Palmonari of Milan-Bicocca University, Roberto Moriondo of Piedmont Region

Page 2: Digital venice-rgrosso-slides4

LOM

Insert name and descr.of tables & columns.Infer physical constraints

Tag metadata by likenessof entity-names inside in

names and descr. of tables & columns

Integrated &abstractedE-R schemarepository

LOD«Universe»

(data & metadata)

Linked Open Data(RDF/OWL)

Infer verticalAbstraction level

Entity-ierarchytaxonomy

ReuseRelationships

LOMO…

From LOD (Linked Open Data) to LOMO (Linked Open Metadata & Ontologies)

Page 3: Digital venice-rgrosso-slides4

• PROPOSAL:– So we could think: if we create a collaborative

project to make everything?– Administrations should only engages with IT

resources that manage their services , providing logical and physical schemas of linked open data published ( for insiders : most important is the sql – bill with comments of tables and fields , pardon the jargon )

– Such schemes would be instanced by administrations , and cataloged. Most important is to catalog where is each linked open data db implemented in datacenter (physical instance)

– The catalogs get made public.– The metadata catalogs would be enhanced with the

use of ontologies for semantic inference , and conceptual schemes instantiated on each data base structure , with each administration, always in a public way

– And what about the cost ? I personally put my experience, my methods and my vintage tools of inference