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Topic: Logical models

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	JOT: Journal of Object Technology - Toward Better Logical Models in UML, P.V. Reddy
		Logical model organizes all data and computation of system in terms of classes which are smaller units of both data and computation.
		Because of that the logical model is not hierarchical.
		To avoid the second deficiency of a lack of one to one correspondence between logical model in UML and its corresponding textual specification, we use relation classes which are defined using generic classes [Reddy2001].
	www.jot.fm /issues/issue_2003_09/article2 (5900 words)

	GETTING THE FACTS RIGHT (Site not responding. Last check: 2007-10-13)
		A fact model is a diagrammatic representation of a structured business vocabulary, which is essential for expressing large numbers of rules in a consistent fashion.
		Logical models are the formal database representations of fact models, consisting of integrity constraints, the DBMS-understood meaning of databases.
		A fact model and a logical data model also often have very different perspectives on the best handling of what is commonly known as type codes.
	www.dbdebunk.com /page/page/3278365.htm (1203 words)

	Model (economics) - Wikipedia, the free encyclopedia
		In general terms, economic models have two functions: first as a simplification of and abstraction from observed data, and second as a means of selection of data based on a paradigm of econometric study.
		Models in which the vector nature of the quantities is maintained are used in practice, for example Leontief input-output models are of this kind.
		Models of consumption either assume that humans are immortal or that teenagers plan their life around an optimal retirement supported by the next generation.
	en.wikipedia.org /wiki/Model_(economics) (3546 words)

	Conceptual, Logical, Physical Models
		"logical", and "physical" are frequently used in data modeling to differentiate levels of abstraction versus detail in the model.
		For a logical data model to be normalized, it must include the full population of attributes to be implemented and those attributes must be defined in terms of their domains or logical data types (e.g., character, number, date, picture, etc.).
		The conceptual model is concerned with the real world view and understanding of data; the logical model is a generalized formal structure in the rules of information science; the physical model specifies how this will be executed in a particular DBMS instance.
	www.aisintl.com /case/CDM-PDM.html (544 words)

	Modeling Data Services
		The major difference between a logical model and a physical model is that the logical model contains representations of at least one logical data service, in addition to physical data services.
		If your data model is composed of both physical and logical data services, you should keep in mind that a metadata update on any underlying physical data services will remove any relationships you have created involving those data services.
		A model diagram is dependent on its components including physical data, logical data, and relationships, all of which are subject to change outside the model itself.
	e-docs.bea.com /liquiddata/docs85/datasrvc/model.html (3512 words)

	DBAzine.com: The Name Game
		A data model is a general "translation language," so to speak, via which to map specific conceptual models such as that in Figure 1A to their specific logical representations in the database such as that in Figure 1B.
		Thus, the conceptual model consists of facts as understood by users and the logical model is a representation of those facts in the database in a form understood by the DBMS.
		Data modelers ought to be educated to play this dual communication role between users and IS personnel, to which end they should be conversant with both the conceptual and logical models, as well as with the data model.
	www.dbazine.com /ofinterest/oi-articles/pascal1 (1825 words)

	Ryan Kirk
		Conceptual Data Model: A conceptual data model is an abstract expression of types of data (entities and their attributes in the case of ER modeling) and the relationships between them.
		Logical Data Model: The logical data model expresses the way the data types and their relationships, defined by the conceptual data model, will be represented in the database.
		Spatial Data Models: Two types of conceptual models are generally recognized for spatial data: field-based models and object-based models.
	www.gis.umn.edu /~rkirk/csci8705/g7-a3.htm (1400 words)

	Modeling Data Services
		Model diagrams are quite flexible; they can be based on existing data services (and corresponding underlying data sources), planned data services, or a combination.
		Logical data models are developed in DSP and are based on physical other logical data.
		Each entity in the model has a title which is the data service local name (the fully-qualified name is visible as a mouse-over).
	edocs.bea.com /aldsp/docs21/datasrvc/model.html (3494 words)

	“UNIVERSAL DATA MODELS” AND IMPORTANCE OF THINKING PRECISELY (Site not responding. Last check: 2007-10-13)
		This is what logical models are, and to serve their purpose they must capture as much of the meaning in the conceptual models they represent as possible.
		Which is true of conceptual and logical models by definition—because they are enterprise-specific, they vary with the “specific needs of the client”—but not of data models e.g.
		But once a conceptual model is properly specified and agreed on, there may be more than one logical model to map it to, but whichever one is chosen, relational mapping is guided by universal formal principles (e.g.
	www.dbdebunk.com /page/page/3278358.htm (1985 words)

	BioMed Central \| Full text \| Visual setup of logical models of signaling and regulatory networks with ProMoT
		The model definition and handling works in the same way as for the dynamic models, only the respective modeling libraries and the output system are specific for logical interaction hypergraphs as defined in [6].
		Since the models are characterized by many components and interactions, visualization aspects are of great importance [13].
		In our group, there are currently several large models under development, including a model for T-cell signaling (see Figure 6), a model for the pro- and antiapoptotic signals controlling hepatocyte proliferation, and a detailed model of the cell cycle regulation in mammalian cells.
	www.biomedcentral.com /1471-2105/7/506 (2792 words)

	TDAN Anne Marie Smith - Model-Driven Development
		The draft logical models are produced during the interview process and are documented as quickly as possible.
		Reviews are essential to the final acceptance of the model; interviewees "own" the models if they have been involved in the entire process and have validated the models during their development.
		Tangential discussions can detract from the modeling acceptance by focusing on areas that were not under the scope of the modeling Statement of Work or are not under the jurisdiction of the involved teams.
	www.tdan.com /i006fe09.htm (1128 words)

	Process Modeling
		Models can be build for existing systems as a way to understand better those systems, or for proposed systems as a way to document the organizational and information requirements or technical designs.
		Separating business (or logical) models from technical models helps keeps clarify the issues: logical system models are used to reflect the business or organizational requirements (such as who should communicate with whom); physical system models depict the technical designs (or through what technical means the people identified in the logical model should communicate).
		Each logical process is (or will be) implemented as one or more physical processes that may include: work performed by people, work performed by robots or other machines, work performed by computer software; naming conventions for logical processes depend on where the process is in the decomposition diagram/data flow diagram and type of process depicted.
	web.simmons.edu /~benoit/LIS486/ProcessModeling.html (4572 words)

	Technical Notes and Articles of Interest » Logical Data Modelling (LDM)
		To think logically is to consider the entities and attributes and relations before considering the physical tables, columns and relationships.
		To me, the essential part about logical modelling is that it is the phase where you make a (mental) inventory of what things the system is about.
		IMO, you should use logical modelling primarily as a means to get a grasp on the problem, and also to communicate your information analysis to other people involved in the project.
	blog.arabx.com.au /?p=333 (1451 words)

	[No title]
		Model Participation in Repository Operations There are some cases where a model may want to participate in repository operations for the purpose of augmenting the list of model elements or file system resources that are being operated on.
		If these merges are all members of the same logical model, and if that logical model requires that the entire logical model be merged as a unit, then the tooling must be logical model aware and mark all as merged when one is marked as merged.
		Handling the update of model object decoration is tricky as the decorator may need to update all model objects that map to a given resource and any model objects that act as parents of the object in any view.
	www.eclipse.org /eclipse/platform-team/team3.2/logical-support.doc (3167 words)

	Logical Data Modeling: A Key to Successful Enterprise Data Warehouse Implementations (Site not responding. Last check: 2007-10-13)
		Modelers with domain expertise are ideal, but depending on team skills, training should include sections on topics such as normalization, subtype/supertype, standard modeling patterns and model management.
		Because logical modeling is a fairly mature process, there are a number of white papers, presentations and textbooks that present reusable design patterns.
		Logical data modeling is a key data management discipline, the success of which is critical to ensuring efficient and effective EDW implementation.
	www.dmreview.com /article_sub.cfm?articleId=1062071 (2441 words)

	IBM SJ 45-3 \| Technical Forum
		These logical models, which are high-level abstractions of business processes and data relationships, are used together with human- and machine-readable links from these logical models back to their physical realizations in code as the foundation for a variety of program-understanding and transformation tasks (we use “physical” to mean “implementation-related”).
		It is notable that the logical data model shown in Figure 1 differs greatly from the data declarations in the source code of the application.
		A tool that uses logical-to-physical model mappings to implement attribute update transformations could examine the contexts in which each physical manifestation of the same type is used to suggest an update transformation with the least impact on other parts of the code.
	www.research.ibm.com /journal/sj/453/chandra.html (3647 words)

	The Major Models
		This model is structured on the premise that each of the "days" in the Genesis narrative represent a period of 1000 years.
		The young earth model proposes that the universe did not come into existence until about 6000 years ago, and that the "days" are literal 24 hour days.
		This model is a refinement of the so called "Gap Theory", and proposes that God created the universe in the ancient past, that it was tainted with Death by the rebellion of Lucifer early in it's history, and was eventually ruined.
	www.kjvbible.org /major_models.html (499 words)

	TDAN - Pascal - Setting Matters Straight Issue 28.0 (Site not responding. Last check: 2007-10-13)
		Because of their informality, direct representation of conceptual models in computerized databases would not be very useful, because databases are for mechanized inferences from data, and computerization is possible only with formal structures, to which logic and mathematics can be applied (see DATABASE FOUNDATIONS paper #4, Un-muddling Modeling).
		Which is true of conceptual and logical models by definition--because they are enterprise-specific, they vary with the “specific needs of the client”—but not of data models e.g.
		But once a conceptual model is properly specified and agreed on, there may be more than one logical model to map it to, but whichever one is chosen, relational mapping is guided by universal formal normalization principles.
	www.tdan.com /sms_issue28.htm (2168 words)

	General Blocks - Logical
		The model to perform a logical XOR (exclusive - or) on the two input values.
		The model which emits a TRUE (nonzero) output when it is triggered.
		The model to perform the logical NAND operation on the two input values.
	www.csim.com /models/general_blocks/Logical.html (145 words)

	Welcome to Logical Solutions
		Logical Solutions successfully delivers a complex design for TVS Motor Company.
		Logical Solutions adds a new name to its ever-growing client list.
		Logical Solutions, started in 2001 by a group of engineers, has been catering to the Design, Analysis and Standardization needs of the automobile industry as its main focus.
	www.logicalsindia.com (121 words)

	Logical Predicates for Intuitionistic Linear Type Theories - Hasegawa (ResearchIndex)
		Such logical predicates are derived from the categorical glueing construction combined with the free symmetric monoidal cocompletion.
		0.2: Fibrations, Logical Predicates and Indeterminates - Hermida (1993)
		3 Categorical glueing and logical predicates for models of lin..
	citeseer.ist.psu.edu /hasegawa99logical.html (614 words)

	Logical Models of Argument - Carlos, Ana, Maguitman, Loui (ResearchIndex)
		Logical Models of Argument - Carlos, Ana, Maguitman, Loui (ResearchIndex)
		This survey discusses the main ideas which characterize different logical models of argument.
		Logical Models of Argument - Chesñevar, Maguitman, Loui (2000)
	citeseer.ist.psu.edu /carlos00logical.html (276 words)

	Conceptual, Logical, Physical Models
		Data models are usually categorized by levels of abstraction:
		Professional data modelers understand the approximate scope of each.
		Some approaches deal only with the physical or logical model.
	www.aisintl.com /case/olais/pb96/clpmodel.htm (41 words)

	Logical models
		The defining characteristic of the models classified as ``logical'' is that their state variables are measured discretely.
		While this frequently represents a high level of abstraction from actual biology, the models described below have nevertheless been responsible for providing a number of theoretical insights and have had a significant influence on thinking about regulatory networks.
		In particular, the Boolean network model was critical in defining the complex systems view of biology.
	www.itee.uq.edu.au /~nic/_accs-grn/_node15.html (132 words)

	network model xml - Re: Logical models, hierarchy, network model
		is the logical layer - how does the data look?
		This is an interesting paper that proposes a heterogeneous nested relations model for XML: http://www.indiana.edu/~isdept/research/papers/tr137-1.pdf ======== Ken North =========== www.WebServicesSummit.com www.SQLSummit.com www.GridSummit.com
		Progress Software Corporation, in the U.S. and other countries.
	www.stylusstudio.com /xmldev/200405/post80320.html (141 words)

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