1 / 15

AERI 2012 Workshop Category: Curriculum Development/Research Methodology

AERI 2012 Workshop Category: Curriculum Development/Research Methodology. Metadata Models and Mode l ling Methods Entity-Relationship Modelling Method: “Bibliographic Universe”. Procedures: Points to Follow. Why to model?: arguments Define the “universum”: bibliographic

clirette
Télécharger la présentation

AERI 2012 Workshop Category: Curriculum Development/Research Methodology

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. AERI 2012Workshop Category: Curriculum Development/Research Methodology Metadata Models and Modelling Methods Entity-Relationship Modelling Method: “Bibliographic Universe”

  2. Procedures: Points to Follow • Why to model?: arguments • Define the “universum”: bibliographic • Define functions/required functionality: data & user • Define the model/modelling methodology • Define entities-atributes-relationships [data] • Define user tasks [user] • So what?, or, Then what?

  3. Why to model?: arguments • Change of technology: “external” forces • Automated systems & large-scale databases • Need to reduce cataloguing costs (re-use) • Continued growth of publishing output • Broad range of user expectations and needs • “Internal” forces • Theoretical implications of the above • “We are not alone!”

  4. Or, in other words: Elaine Svenonius. The Intellectual Foundation of Infromation Organization. Cambridge, Mass.; London: The MIT Press, 2000, p.51 • The variables of interest in bibliographic theory will inevitably exhibit a certain amount of vagueness, ambiguity, and limited applicability. As long as the practice is affected by this only sporadically, there is no reason for concern. But if the numbers of bibliographic entities that can be described in a uniform and exact manner begin to get out of hand, then it is time to question traditional concepts and theories.

  5. Define the “universum”: bibliographic • Toward IFLA FR-family of conceptual models • 1990 – Stockholm seminar • 1991-1998: FRBR – bibliographhic data • 1999-2009: FRAD – name authority data • 2005-2010: FRSAD – subject authority data • 2011-[2013] – consolidated FR-conceptual model

  6. Define functions/required functionality: data & user Functional requirements for... • a framework that identifies and clearly defines the entities of interest to users of bibliographic records, the attributes of each entity, and the types of relationships that operate between entities • serve as the basis for relating specific attributes and relationships (reflected in the record as discrete data elements) to the various tasks that users perform when consulting bibliographic records.

  7. Define the model/modeling methodology • Entity-Relationship • Object Oriented [CIDOC-CRM  FRBRoo] • Event oriented

  8. Define entities-atributes-relationships

  9. Define user tasks

  10. FRBR: 6.1 Mapping Attributes and Relationships to User Tasks

  11. FRSAD: 6.4 Mapping of Attributes, Relationships, and User Tasks

  12. So what?, or, Then what? • Impact on other models: CIDOC/CRM – FRBRoo & Archival models(?) • Bibliographic standard: ISBD • Cataloguing rules: REICAT, RDA • WebPACs: FRBRized catalogues • Semantic Web & Linked Data • Vocabulary [E – A – R] + definitions  RDF (W3C) [generic, graph-based data model] • Authorized, trustworthy data [provenance]

  13. Entity-Relationship Methodology Anentity analysis technique that is used in the development of conceptual models for relational database systems. Steps: (1)isolate the key objects that are of interest to users of information in a particular domain; serve as the focal point for a cluster of data (2) define the relationships that normally hold between one type of entity and another type of entity (3) identify the important characteristics or attributes of each entity

  14. The conventions for graphic presentation

  15. FRBR: Bibliographic data - example

More Related