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Topic: Conceptual data model

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	Entity-relationship model - Wikipedia, the free encyclopedia
		The entity-relationship model or entity-relationship diagram (ERD) is a data model or diagram for high-level descriptions of conceptual data models, and it provides a graphical notation for representing such data models in the form of entity-relationship diagrams.
		Such data models are typically used in the first stage of information-system design; they are used, for example, to describe information needs and/or the type of information that is to be stored in the database during the requirements analysis.
		In the case of the design of an information system that is based on a database, the conceptual data model is, at a later stage (usually called logical design), mapped to a logical data model, such as the relational model; this in turn is mapped to a physical model during physical design.
	en.wikipedia.org /wiki/Entity-relationship_diagram (886 words)

	Data Modeling: Entity-Relationship Model (Site not responding. Last check: 2007-11-05)
		Simply stated the ER model is a conceptual data model that views the real world as entities and relationships.
		A basic component of the model is the Entity-Relationship diagram which is used to visually represents data objects.
		In addition, the model can be used as a design plan by the database developer to implement a data model in a specific database management software.
	www.utexas.edu /its/windows/database/datamodeling/dm/erintro.html (1647 words)

	Conceptual data modelling \| biologging (Site not responding. Last check: 2007-11-05)
		Conceptual data modelling involves the development of implementation-independent models that capture and make explicit the principal structural properties of data.
		Conceptual models are implementation-independent and can be transformed in systematic ways for implementation using different platforms, eg traditional database management systems.
		This paper describes the basics of the most widely used conceptual modelling notations, the ER (entity-relationship) model and the class diagrams of the UML (unified modelling language), and illustrates their use through several examples from bioinformatics.
	www.biologging.com /node/221 (202 words)

	[No title]
		Conceptual data models are thus important communication tools, especially when different actors with different backgrounds, specialties, and vocabularies have to work together, as the partners in the MurMur project.
		Conceptual data models and conceptual schemas are translated into logical data models and logical schemas as part of the implementation of the information system.
		As conceptual modeling is independent from the software tool on which the information system is implemented, the resulting design remains valid in case of technological change (only the translation of the conceptual schema to the logical schema is affected).
	lbdwww.epfl.ch /e/MurMur/docs/MM-WP2-DLA-005-V4.doc (16062 words)

	Conceptual schema - Wikipedia, the free encyclopedia
		A conceptual schema, or conceptual data model, is a map of concepts and their relationships.
		For example, a conceptual schema for a karate studio would include abstractions such as student, belt, grading and tournament.
		The next step towards creating a database design, after a conceptual schema is produced, is a logical schema.
	en.wikipedia.org /wiki/Conceptual_data_model (86 words)

	Data Model Dictionary (Site not responding. Last check: 2007-11-05)
		Conceptual Data Model (CDM) - A CDM represents the overall logical structure of a database, which is independent of any software or data storage structure.
		Data Store - A data store in a PAM represents a place to put information, either temporarily from process to process, or permanently as a final or finished result of a process.
		Data affiliated with a particular process should be collated in a natural manner; however, should there be tens of data pertaining to a specific process, secondary definition of sub-processes is desirable.
	www.datamodel.org /DataModelDictionary.html (4884 words)

	2. The Conceptual Data Model. (Site not responding. Last check: 2007-11-05)
		In a global data model for a hospital, for example, the entity names employee and patient are likely to occur.
		As a piece of paper, a receipt is a tangible object, but it is doubtful whether it should be a first class citizen of a conceptual data model, since in different technological situations its functions could equally well be performed by a notch on a stick or a series of pulses on an EDI network.
		A date is a date, however it is stored or presented, and the conceptual data model is not the place to specify that it is a six-digit number in the format ddmmyy.
	www.soi.city.ac.uk /~mg/dbms/conceptual_dm.html (1689 words)

	Popkin Software Relational Data Modeling
		You can specify your data requirements before you begin your modeling effort, while you are constructing your model, or after you have completed the logical design.
		Also, your data dictionary can be defined for a specific project, or you can define a master data dictionary to be used for all IS projects.
		The rules of data modeling are enforced – 'ghost-buster' symbols prohibit you from dropping a relationship line into space, or from forming an illegal relationship.
	government.popkin.com /methods/relational_data_modeling.htm (906 words)

	Cover Pages: Conceptual Modeling and Markup Languages
		The conceptual modeling language would be able express (naturally, transparently) semantic relations and appropriate integrity constraints which help ensure that instances of objects and property values are semantically "valid".
		Conceptual modeling continues to have a vital role in advanced information systems development." The foundational role of conceptual modeling in XML application design is captured by Michael Kay's comment on hierarchical data models: "XML is hierarchical [because] it is optimized for data interchange...
		A secondary motivation is using this model to help emphasize that XML is always an implementation view of more abstract data models and should not be used, by itself, as the one place where data models are captured or documented.
	xml.coverpages.org /conceptualModeling.html (13775 words)

	Conceptual Data Flow Model
		The two streams of data remain separate from one another, however they do link together at various points in the project when information that has been collected needs to be exchanged.
		The sub-watersheds are chosen according to best available hydrological data, from which the Humber database in Arc/View is then used to create a template of the desired area for use in the GIS component.
		The data used for this component of the project are the remote sensed images.
	www.cquest.utoronto.ca /geog/ggr462s/project9/concept.html (268 words)

	A Data Warehouse Conceptual Data Model for Multidimensional Aggregation - Enrico, Ulrike (ResearchIndex) (Site not responding. Last check: 2007-11-05)
		A Data Warehouse Conceptual Data Model for Multidimensional Aggregation - Enrico, Ulrike (ResearchIndex)
		A Data Warehouse Conceptual Data Model for Multidimensional Aggregation (1999)
		A Data Warehouse Conceptual Data Model - Enrico Franconi And
	citeseer.ist.psu.edu /271301.html (593 words)

	Popkin Software's Enterprise Data Modeling (Site not responding. Last check: 2007-11-05)
		As your project progresses, automatically create a logical data model from the conceptual model, and expand it to include primary keys, non-key attributes, constraints, and any other information you choose to maintain about the objects in your model.
		For example, data entities, data structures, and data domains are used in business, process, and data models.
		For example, you can specify data requirements before you begin your modeling effort, while you are constructing your model, or after you have completed the logical design.
	www.popkin.com /products/system_architect/data_modeling/data_models.htm (789 words)

	The Design of Software - Conceptual Data Model, Is it worth learning/doing ?
		Other than the trivial case it is always worth learning and using conceptual data modelling, not simply because you preduce a closer mapping between real life processes and the structure you store the data in but because it can be used to converse with the users.
		Whatever methodology is used to produce a conceptual model, it is always important to have a business view of the system you are dealing with.
		A conceptual model is the reference when dealing with implementation issues, it should be easier to read (if it's not then there's a problem with the design).
	discuss.joelonsoftware.com /?design.4.87180.10 (1171 words)

	Wilshire Conferences - Conceptual Data Modeling Seminar - The Entity/Relationship Model (Site not responding. Last check: 2007-11-05)
		Data subjects (entities) are shared across functional, process, and organizational boundaries in the business, and so this model (and the databases which will be built from it) is the lynchpin for removing waste, float, and unnecessary time and cost in the conduct of the business processes.
		It is also useful to conceptualize data to be shared directly with customers and suppliers to further collapse float and cost in these types of business transactions.
		A conceptual data model also surfaces conflicts and ambiguities in the business rules which inevitably lead to quality problems for the customer of the enterprise, and gives the business a golden opportunity to "clear up a few things around here" in a very organized and methodical manner.
	www.wilshireconferences.com /seminars/conceptual_modeling.htm (402 words)

	UAF Section 5
		Data will meet certain conditions, particularly, uniqueness, consistency, integrity, error detection and correcting at both logical and semantic levels, to ensure that the right data is applied to the right activity.
		Although the data model published reports are represented as graphic and dictionary excerpts, the two are integrated in the master database, and managed using the ERWIN modeling tool.
		The USIGS Data Model and the definitions and associated metadata for the data elements derived from the model comply with the requirements of DoD 8320.1-M-1.
	www.fas.org /irp/agency/nima/uaf/section5.html (1871 words)

	Conceptual data modelling for bioinformatics. \| biologging (Site not responding. Last check: 2007-11-05)
		These are in disparate formats, remotely dispersed, and based on the different vocabularies of various disciplines.
		Furthermore, data are often stored or distributed using formats that leave implicit many important features relating to the structure and semantics of the data.
		Conceptual data modelling involves the development of implement in /home/biologg/public_html/includes/database.mysql.inc on line 125.
	www.biologging.com /node/229 (312 words)

	Conceptual Data Model
		This model was developed based on the requirements listed on the project web site, my (Karen Lopez's) experience, on-line project meetings, and the speaker's database supplied to the project.
		Subtyping is represented in the model by light blue lines connecting the entities to a half-circle subtyping symbol.
		This cardinality is represented in the data model by a relationship symbol near the other entity.
	www.infoadvisors.com /CIPS/ConceptERD.htm (611 words)

	IMS Meta-data Best Practice Guide for IEEE 1484.12.1-2002 Standard for Learning Object Metadata (Site not responding. Last check: 2007-11-05)
		Each leaf element in the LOM conceptual data schema has a datatype and a value space that defines the encoding of the data for that element.
		As in the case of the LOM conceptual data schema, the semantics of the element titles and vocabulary values are often not defined explicitly or in great detail.
		Note that the conceptual data schema category Classification provides a mechanism for extending LOM as long as the information can be represented as a taxon path and does not introduce semantic ambiguity.
	www.imsproject.org /metadata/mdv1p3pd/imsmd_bestv1p3pd.html (8983 words)

	Conceptual Data Model (Site not responding. Last check: 2007-11-05)
		Unfortunately data models tend to be highly technical and are not easily understood to the untrained eye.
		This kind of model is known as a Conceptual Model and focuses on role-playing and processes.
		Becker describes the conceptual layer of data analysis beyond the typical schema as Object Role Modeling (ORM).
	www-users.cs.umn.edu /~khosla/JenniferMalecek1.html (250 words)

	BOM Conceptual Data Model (Site not responding. Last check: 2007-11-05)
		This is a Conceptual Data Model for Bill of Materials, which is a hierarchical structure.
		This Model shows that each entry in the Hierarchy can have a 'parent' which is another entry in the Hierarchy.
		In the Physical Data Model, this is shown explicity, and is somewhat easier to understand, and here's a version for a Paper Manufacturing facility with a Warehouse
	www.databaseanswers.com /data_models/bom (80 words)

	VLDB 1979: 140-145
		The conceptual data model is a high level, implementation independent data description.
		The transaction description is expressed in a very high level language which uses the conceptual data model.
		In the system model the conceptual data model is the data base, and the transactions specified can be executed using this data base.
	www.vldb.org /dblp/db/conf/vldb/OrenA79.html (451 words)

	Health Data Model (Site not responding. Last check: 2007-11-05)
		The goal of this Roadmap project was to enhance the Conceptual Health Data Model (CHDM), a reference tool for organizing, viewing and defining high-level health information.
		By including many types of information that impact health, the CHDM could support data collection plans for creating and aligning better information from multiple sources to support policy making and other decisions that require the integration of data of many types, from multiple sources.
		Conceptual Health Data Model v2.3, (PDF) 541 KB Completed
	secure.cihi.ca /cihiweb/dispPage.jsp?cw_page=infostand_chdm_e (255 words)

	Conceptual data model
		Give a name to each association, decide whether it is a weak association (represented by a plain line), or a strong association (a dependency represented by a dotted line).
		The main role of this data dictionary is to provide the meaning of each class and attribute.
		Sample: A sample conceptual data model document is available upon request.
	courses.washington.edu /tcss445a/html/conceptual_data_model.html (458 words)

	Conceptual data model and schema design
		The conceptual level schema, i.e., the catalogue structures, should present to user a simple, physical implementation-independent, and clear view of the format of the datasets and their descriptions.
		We will develop a new data model which is based on the data model we have developed for supporting earth-science investigations [62][63].
		Briefly speaking, the model is object-based and supports encapsulation of datasets, metadata, and operations.
	proxy.arts.uci.edu /~nideffer/ADL/docs/proposal/node32.html (454 words)

	what is a data model : The Data Resource (Site not responding. Last check: 2007-11-05)
		Data modeling, as it applies to database systems, is the process of...
		To be useful, the data modeling process must be carried out in...
		Even though the concept of data modeling has been around for...
	www.myam.qc.ca /data-model/what-is-a-data-model.html (223 words)

	Expressiveness in Conceptual Data Modelling - Hofstede, van der Weide (ResearchIndex) (Site not responding. Last check: 2007-11-05)
		Abstract: Conceptual data modelling techniques aim at the representation of data at a high level of abstraction.
		56 Concepts and Terminology for the Conceptual Schema and the I..
		An Algebraic Semantics for Object-Oriented Behaviour Modeling - Hubbers, Hofstede (1996)
	citeseer.ist.psu.edu /terhofstede93expressiveness.html (770 words)

	Conceptual Data Model with Structured Objects for Statistical Databases (Site not responding. Last check: 2007-11-05)
		In this paper we present a conceptual data model, called SDM, which is able to represent both elementary and statistical data at a conceptual level.
		In addition it is equipped with suitable mechanisms to form classes of individuals by classifying the instances of a target class according to some specified criteria.
		This ability fulfills the often perceived necessity, in modeling real domains, of treating statistical aggregates and elementary data in an homogeneous way.
	www.dis.uniroma1.it /~ai/citations/degi-nagg-96.html (183 words)

	VLDB 1979: 140-145 (Site not responding. Last check: 2007-11-05)
		Statistice for the Usage of a Conceptual Data Model as a Basis for Logical Data Base Design.
		Ole Oren, Frode Aschim: Statistice for the Usage of a Conceptual Data Model as a Basis for Logical Data Base Design.
		Erik G. Nilsson: The Translation of a Cobol Data Structure to an Entity-Relationship Type Conceptual Schema.
	dblp.uni-trier.de /db/conf/vldb/OrenA79.html (451 words)

	Defining and Validating Measures for Conceptual Data Model Quality (ResearchIndex) (Site not responding. Last check: 2007-11-05)
		Abstract: For assessing conceptual data model quality it is useful to have quantitative and objective measurement instruments.
		The scarcity of such measurement instruments leaded us to define a set of measures for structural complexity, an internal quality attribute of conceptual data models, with the idea that it is related to the external quality of such models.
		In order to gather empirical evidence that the proposed measures could be early quality indicators of conceptual data models, we carried out a...
	citeseer.ist.psu.edu /558711.html (316 words)

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