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Application of Dublin Core and XML/RDF standards in the KIKERES

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Presentation on theme: "Application of Dublin Core and XML/RDF standards in the KIKERES"— Presentation transcript:

1 Application of Dublin Core and XML/RDF standards in the KIKERES
Prajczer Tamás In my presentation I would like to summarise the experiences gained during the development of the core metadata elements of KIKERES

2 Antecedents Metatér project, 1998-99 spatial metadata service FGDC,
ESMI, CEN, MEGRIN The METATÉR project – the Hungarian Spatial Metadata Service – can be considered as the forerunner of the KIKERES. It was a spatial metadata service, functioning only with a single profile. After the completion of the KIKERES, the METATÉR has become one profile of the KIKERES. The metadata structure of the METATÉR based on the elements used in the geospatial metadata standard of Federal Geographic Data Committee in USA, and several European initiatives.

3 Key issues to consider generic metadata standards
Dublin Core GILS to fit the requirements of specific fields to use thesaurus During the preparation of the metadata elements of the KIKERES three main aspects were taken into account. Dublin Core and US GILS had to be considered as generic metadata standards. The Dublin Core is a highly developed and widely used standard. But there is a tradition of usage US based standards in METATÉR, like the standard of FGDC. The ‘simple’ Dublin Core elements are not enough for the precise description. The elements of US GILS are too detailed and some elements are US specific. Additional elements should be added to the KIKERES core metadata elements in order to fulfil the requirements of specific fileds For the unified description of information resources thesaurus or controlled lists should be used in KIKERES.

4 Base profile and extensions
base profile + extension(s) Geographical Information Remote sensing Base profile E1 - Metatér The metadata description in the KIKERES provides a common set of terminology and definitions for the unified documentation of information resources in public administration. It has two parts: the base profile and the extensions. The base profile contains the common elements used in the description of information resources. But oobviously there are specific areas, which require special metadata too to describe their information resources. For example the projection system is an integrated feature of spatial data, but not used in general metadata descriptions. The ‘Qualified’ Dublin Core refers to the same set of elements and recommends additional regulation of elements, but does not provide elements for other areas (e.g. description of spatial attributes of maps – datum, reference system) Base profile E1 - Metatér E1.1 Healthcare Base profile E2

5 RDF and XML RDF XML documents element sets: dc hgils
metater (in METATÉR profile) The metaadat records in the KIKERES correspond to the RDF specification. The metadata records are XML documents. element sets: Each profile has a uniques element set.

6 Structure of KIKERES www.geox.hu The first part is the Formal elements
The next one is the Content group The third is the Administrative elements

7 Title, Size The alternative title exists as a qualified DC elements for refining. The size of the information resource is described in two filed in hgils. The Translated title means the title in the original language.

8 Spatial extent www.geox.hu
We use the gazetteer maintenand and published by Institute of Geodesy, Cartography and Remote Sensing as a reference list for geographic names. Geographic Name1 covers the administrative units (from NUTS0 to NUTS5) and spatial competency areas in public administration. Fire department EOV is the Unified National Projection System which is valid only in Hungary. WGS84 coordinates are geographic coordinates on WGS84 ellipsoid. It is an international standard. The user interface of KIKERES provides an automatic transformation between the two projection system.

9 Temporal extent, Relations
Identifier of the related information resource

10 Organizations www.geox.hu
Each of the three main categories – creator, publisher, contributor – consists of the description of both organisations and persons at the organisations with the following attributes.

11 Organizations

12 Organizations Creator – centrally stores (usually one organisation) Publisher – has the right to publish (one or more organisations) Contributor – other roles We have some problems with the usage of these categories in the Hungrain public administration. In some cases it is very hard to define the exact organisation or person who is responsible for the creation – or in the KIKERES the intellectual property – of a information resource. (E.g. Who is the creator of the data sets of the national hydrographical network?) In the KIKERES project ministries describe their information resources. Usually it means locally or centrally collected and centrally stored data sets. So we have defined these three roles in the following way. The creator is the organisation where the data set is centrally stored. The publisher is the organisation which has the right to publish any part of the data set. The contributors are those ones who have any other roles. Let’s see an example: VÁTI is an institute responsible for regional planning. It’s role is the development and maintenance of the Regional Planning Database. VÁTI does not create original data sets, but put the resources together. VÁTI is the crator and the original sources are the countributors. The database is distributed among the counties, and the county notaries have the right to provide information from the database. So the country notaries are the publishers.

13 Subject, Abstract www.geox.hu
The subject covers controlled and uncontrolled keywords in the KIKERES. The Controlled Terms are used to unify the description and search, because they can be selected only from the Concept Store of the KIKERES. The Concept Store is under construction. Until the completion of Concept Store only Uncontrolled Terms can be used, these terms have to be classifies according to the classification system used in libraries. It is the Universal Decimal Classification. Similar to the geographic names instead of the recommended qualifiers a Hungarian one, the Concept Store is used in the KIKERES. We do not define separeted fields for Abstract and Table of Contents. But these ones are recommended to be used to fill in the field called Abstract.

14 Administrative elements
The quality of the metadata record can be: finished, working version, not yet finished. The values of the Group Type can be: unique (map sheet), collection (map series), periodical (Statistical Yearbook). For the encoding of Language we use two letter code taken fron ISO 639, and extra two letter code taken from ISO 3166. The Right is different from rights used in DC. The Data Collection items describe the reason for the creation of the information resource. The Program identifies the legal background of the data collection (e.g. National Data Collection Program, Census Act) Process describes the type of data collection national statistical data collection, offical registry, data collection to provide data to international organisations, data collection of prive te sector The elements of methodology can be a primary data collection (e.g. exitpool survey of the last election), or secondary data collection (e.g. result of a deskresearch).

15 Maintenance Core elements New elements initiative
preparation of changes by MeH’s expert group implementation of changes New elements preparation by external experts acceptance by MeH implementation by MeH Acceptance of additions and their administration for the system are going on in a centralized way. This is important first of all to avoid the acceptance of several types of additions and the overlapping of various additions created in different branches.

16 Conclusion


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