defined within physical data stores. A semanticdatamodel is an abstraction which ... in the form of a semanticdatamodel. Gellish itself is a semantic modelling language, that can ..., being semantic databases. Applications A semanticdatamodel can be used to serve many purposes. Some ... A SemanticDataModel Approach . Prentice Hall International Series in Computer Science. Michael Hammer and Dennis McLeod 1978 . The SemanticDataModel a Modeling Mechanism for Data Base Applications ... Johan ter Bekke tribute site. Datamodel DEFAULTSORT SemanticDataModel Category Data modeling ...Image A2 4 SemanticData Models.jpg thumb 320px Semanticdata models. ref name FIPS184 http www.itl.nist.gov ... of the National Institute of Standards and Technology NIST . 21 December 1993. ref A semanticdatamodel in software engineering has various meanings It is a conceptual datamodel in which semantic information is included. This means that the model describes the meaning of its instances. Such a semanticdatamodel is an abstraction that defines how the stored symbol s the instance data relate to the real world. ref name FIPS184 It is a conceptual datamodel that includes the capability to express ... the instances, without the need to know the meta model. Such semantic models are fact oriented as opposed ... in Paris. Typically the instance data of semanticdata models explicitly include the kinds of relationships ... is known. Therefore, semanticdata models typically standardise such relation types. This means that the second kind of semanticdata models enable that the instances express facts that include their own meaning. The second kind of semanticdata models are usually meant to create semantic databases ... data structure of a database management system DBMS , whether Hierarchical model hierarchical , Network ... schema approach conceptual view has led to the development of semanticdata modeling techniques. That is, techniques ... level modeling primitives as integral part of a datamodel in order to facilitate the representation ... more details
relationship model ERM is an abstract conceptual schema conceptual datamodel or semanticdatamodel ... the differences less significant. Semanticdatamodel main Semanticdatamodel Image A2 4 SemanticData Models.jpg thumb 320px Semanticdata models. ref name FIPS184 A semanticdatamodel in software ... with other data. A semanticdatamodel is an abstraction which defines how the stored symbols relate to the real world. ref name FIPS184 A semanticdatamodel is sometimes called a conceptual ..., ideas, events, etc., are symbolically defined within physical data stores. A semanticdatamodel is an abstraction ... are normally captured by a semantic logical datamodel . This is transformed into a physical ... Semanticdatamodeldata semantics for a chosen domain of discourse. It can provide sharable ...File Data modeling context.svg thumb 360px Overview of data modeling context A datamodel provides the details ... Contractors and Facilities CAD CAE User s Group. ref A high level datamodel in business or for any functional area is an abstract model that documents and organizes the business data for communication ... processes. A datamodel in software engineering is an abstract model that documents and organizes ..., specifically how data is stored and accessed. According to Hoberman 2009 , A datamodel is a wayfinding ... Modeling Made Simple 2nd Edition , Steve Hoberman, Technics Publications, LLC 2009 ref A datamodel ... include database model s, design of information system s, and enabling exchange of data. Usually ... nvl.nist.gov pub nistpubs jres 104 4 html j44mac.htm apa A Conceptual DataModel of Datum Systems ... science precision are the two key benefits that make a datamodel important to applications that use and exchange data. A datamodel is the medium which project team members from different backgrounds ... and rules on a datamodel can be interpreted only one way and are not ambiguous. ref name SH09 A datamodel can be sometimes referred to as a data structure , especially in the context of programming ... more details
about a data integration concept within the Semantic Web paradigm Data Spaces in the research area of databases Dataspaces Advert date March 2009 A semantic web data space is a container for domain specific portable data, which is provided in human and or machine friendly structures. Data in a data space can be referenced by an identifier, and is linked with other data across spaces and domains, and thus ... desktop based systems. Semantic web data spaces, linked data, and data portability Data in data spaces are linked across spaces and domains to enhance the meaning of internal data, this supports the work of the linked data project which is part of the Semantic Web effort. This has the benefit of being a useful point for querying about information across domains, and assists the development of a Data Web Web of Data . A data space should be fully supportive of data portability such as that advocated by the DataPortability project. This means that an object in a data space should be movable and should ... . Examplary semantic web data space implementation OpenLink Data Spaces , a distributed collaborative data space system implemented as a social networking service and content management system . It is built ... new, however it brings together ideas and technologies from various sources The Semantic Web , and the linked data project Object database Object oriented databases DataPortability Data portability ... resource identifier s for object identifiers Resource description framework for object and data space descriptions SPARQL for querying about objects across domains See also Dataspaces Data integration References reflist H.Zhuge, The Web Resource Space Model, Springer, 2008. H.Zhuge, Y.Xing and P.Shi, Resource Space Model, OWL and Database Mapping and Integration, ACM Transactions on Internet Technology, 8 4, 2008. H.Zhuge, Resource space model, its design method and applications. Journal of Systems and Software, 72 1 2004 71 81. Semantic Web Category Distributed computing architecture Category ... more details
The Semantic Feature Comparison Model is a theory pertaining to the representation of semantic relations in memory. ref name Smith cite journal last Smith first Edward E. coauthors Shoben, Edward J. Rips, Lance J. title Structure and process in semantic memory A featural model for semantic decisions journal Psychological Review date May 1974 volume 81 issue 3 pages 214 241 doi 10.1037 pmid 615948401 url http search.proquest.com.proxy1.lib.uwo.ca 2048 psycinfo docview 615948401 135015D1DCE32C21F9B 2?accountid 15115 accessdate 20 February 2012 ref The Sentence Verification task is used in which two nouns, a subject and a predicate, are presented and participants are required to make a semantic decision about them in the form of An S is a P verification. ref name Collins cite journal last Collins first Allan M. coauthors Quillian, M. Ross. title Retrieval Time from Semantic Memory journal Journal of Verbal Learning and Verbal Behaviour year 1969 volume 8 issue 2 pages 240 247 doi 10.1016 S0022 5371 69 80069 1 pmid 615603750 url https www lib uwo ca.proxy1.lib.uwo.ca 2443 cgi bin ezpauthn.cgi docview 615603750?accountid 15115 accessdate 11 March 2012 ref The results of the Sentence Verification task suggest that the speed of verification is dependent on the semantic distance between the subject and predicate. ref name Rips cite journal last Rips first Lance, J. coauthors Shoben, Edward J, Smith, Edward E. title Semantic Distance and the Verification of Semantic Relations journal Journal of Verbal Learning and Verbal Behavior year 1973 volume 12 issue 1 pages 1 20 doi 10.1016 S0022 5371 73 80056 8 pmid 615887882 url https www lib uwo ca.proxy1.lib.uwo.ca 2443 cgi bin ezpauthn.cgi docview 615887882?accountid 15115 accessdate 11 March 2012 ref References reflist Category Memory ... more details
Image DRM Collaboration Process.jpg thumb 320px The DRM Collaboration Process. The Data Reference Model DRM is one of the five reference models of the Federal Enterprise Architecture FEA . Overview The DRM is a framework whose primary purpose is to enable information sharing and reuse across the United States federal government via the standard description and discovery of common data and the promotion of uniform data management practices. The DRM describes artifacts which can be generated from the data architectures of federal government agencies. The DRM provides a flexible and standards based ... COI. Data Reference Model topics DRM structure The DRM provides a standard means by which data may ... areas Data Description Provides a means to uniformly describe data, thereby supporting its discovery and sharing. Data Context Facilitates discovery of data through an approach to the categorization of data according to taxonomies. Additionally, enables the definition of authoritative data assets within a COI. Data Sharing Supports the access and exchange of data where access consists of ad hoc requests such as a query of a data asset , and exchange consists of fixed, re occurring transactions between parties. Enabled by capabilities provided by both the Data Context and Data Description standardization areas. DRM Version 2 The Data Reference Model version 2 released in November 2005 is a 114 ... Architecture ISO IEC 11179 Metadata publishing Semantic spectrum Semantic Web Synonym Ring References reflist External links http colab.cim3.net cgi bin wiki.pl?DataReferenceModel Data Reference Model Public Forum http www.defenselink.mil cio nii docs DoD DRM v04 5Aug.pdf US Department of Defense Data Reference Model Category Computer data Category Data management Category Reference models ... services, it is an excellent starting point for data architects within federal and state agencies ... in Data warehouse ing efforts should use this document as a guide. See also Enterprise ... more details
AV 1 of the DoDAF . ref name DoDAF V2 Core architecture datamodel CADM in enterprise architecture is a logical datamodel of information used to describe and build architectures. ref http www.gao.gov ... model for architecture data. ref name DoD07Db DoD 2003 . https acc.dau.mil CommunityBrowser.aspx?id 31667&lang en US DoDAF 1.0 Deskbook 15 Aug 2003. ref Overview Core Architecture datamodel CADM is designed ... published in 1997 as a logical datamodel for architecture data. It was revised in 1998 to meet all the requirements of the C4ISR Architecture Framework Version 2.0.1 As a logical datamodel ... for a database implementation. Because the CADM is also a physical datamodel , it constitutes ... DM2 is working to replace the Core Architecture DataModel CADM which supported previous versions of the DoDAF ... versions of DoDAF. CADM topics Building blocks The major elements of a core architecture datamodel .... Datamodel A datamodel defines the objects of a domain, their inter relationships, and their properties, normally for the purpose of a database design. There are three datamodel levels, from highest to lowest Conceptual, Logical, and Physical. Conceptual datamodel s are the highest level ... nonoverlapping entities , and domain level completeness. Logical datamodel s need not commit to a specific Data Base Management System DBMS . Physical datamodel s are usually the most detailed and the level ... aspects products and views to support architecture analysis. The DoDAF s datamodel, CADM, defines ... of architectures. The CADM describes the following datamodel levels in further detail ref name DoD07V1 ... unique data representation, emphasis on semantic well defineness and exclusivity, and domain ... are mapped. ref name DoD07V1 CADM DataModel Diagram Notation. Image CADM DataModel Diagram Notation.jpg thumb 240px CADM DataModel Diagram Notation. ref name DoDAF V2 As illustrated in the figure ... paper. ref References Commonscat Core Architecture DataModel reflist Category Enterprise architecture ... more details
Image HL7 Reference Information Model.jpg thumb 360px Example of a Generic datamodel. ref Amnon Shabo 2006 . http www.hhs.gov healthit ahic materials 01 07 phc genomics.html Clinical genomics data standards for pharmacogenetics and pharmacogenomics . ref Generic datamodel s are generalizations of conventional datamodel s. They define standardised general relation types, together with the kinds of things that may be related by such a relation type. Overview The definition of generic datamodel is similar to the definition of a natural language. For example, a generic datamodel may define relation ... list of relation types, a generic datamodel enables the expression of an unlimited number of kinds of facts and will approach the capabilities of natural languages. Conventional data models, on the other hand, have a fixed and limited domain scope, because the instantiation usage of such a model only allows expressions of kinds of facts that are predefined in the model. It can also be called as productive data. History Generic data models are developed as an approach to solve some shortcomings of conventional datamodel s. For example, different modelers usually produce different conventional ... to make the differences less significant. Generic datamodel topics Generic patterns There are generic ... datamodel shall consist of generic entity types, such as individual thing , class , relationship ... relation types as data instances , which makes the datamodel flexible and prevents datamodel changes when the scope of the application changes. Generic datamodel rules A generic datamodel ... of generic data models are ISO 10303 221, ISO 15926 and Gellish or Gellish English . Found in DataModel ... reflist 1. David C. Hay. 1995. DataModel Patterns Conventions of Thought . New York Dorset ... Dictionary and documents about Gellish http sourceforge.net projects gellish Datamodel DEFAULTSORT Generic DataModel Category Data modeling ... more details
A georelational datamodel is a geographic datamodel that represents geographic features as an interrelated set of spatial and attribute data. The georelational model is the fundamental datamodel used in coverage data coverages . ref Wade, T. and Sommer, S. eds. http store.esri.com esri showdetl.cfm?SID 2&Product ID 868&Category ID 49 A to Z GIS ref See also GIS References reflist Category Data modeling ... more details
Unreferenced date October 2008 XPath is a language for selecting portions of an XML Document sequences of nodes of an XML tree . XPath uses a specific conceptual interpretation of XML documents, referred to as the XPath Data Model . Technical documents on XML often use the same terminology as the XPath data model . DEFAULTSORT Xpath Data Model Category Data modeling External Links http www.w3.org TR xpath datamodel XQuery 1.0 and XPath 2.0 Data Model markup languages stub ... more details
A logical datamodel LDM in systems engineering is a representation of an organization s data, organized in terms of entities and relationships and is independent of any particular data management technology. Overview Logical data models represent the abstract structure of some domain of information ... and approved, the logical datamodel can become the basis of a physical datamodel and inform the design of a database. Logical data models should be based on the structures identified in a preceding conceptual datamodel , since this describes the semantics of the information context, which the logical model should also reflect. Even so, since the logical datamodel anticipates implementation on a specific computing system, the content of the logical datamodel is adjusted to achieve certain efficiencies. The term Logical DataModel is sometimes used as a synonym of Domain model Domain Model or as an alternative to the domain model. While the two concepts are closely related, and have overlapping ... shows that a datamodel can be an external model or view , a conceptual model, or a physical model ... model where data is described in terms of tables and columns had just been recognized as a data ... in terms of classes, attributes, and associations has also been introduced. Logical datamodel topics Reasons for building a logical datamodel Helps common understanding of business data elements and requirements ... Logical & Physical DataModel A logical datamodel is sometimes incorrectly called a physical datamodel ... model. People often get confused with the fact that logical and physical data models are very ... Logical DataModel Physical DataModel Includes entities tables , attributes columns fields ... also Core Architecture DataModel Database design Entity relationship model Logical schema Object ... 9506d16.html Building a Logical DataModel By George Tillmann, DBMS, June 1995. DEFAULTSORT Logical DataModel Category Data modeling ... more details
In ArcGIS , a datamodel a set of database design specifications for objects in a GIS application. A datamodel describes the thematic layers used in the applications for example, hamburger stands, roads, and counties their spatial representation for example, point, line, or polygon their attributes their integrity rules and relationships for example, counties must nest within states their cartographic portrayal and their metadata requirements. ref Wade, T. and Sommer, S. eds. http store.esri.com esri showdetl.cfm?SID 2&Product ID 868&Category ID 49 A to Z GIS ref See also Datamodel GIS Data structure GIS References reflist Cartography stub Category Data modeling ... more details
A datamodel in geographic information system s is a mathematical construct for representing geographic objects or surfaces as data. For example, the vector graphics vector datamodel represents geography as collections of points, lines, and polygons the raster graphics raster datamodel represent geography as cell matrixes that store numeric values and the Triangulated irregular network TIN datamodel represents geography as sets of contiguous, nonoverlapping triangles. ref Wade, T. and Sommer, S. eds. http store.esri.com esri showdetl.cfm?SID 2&Product ID 868&Category ID 49 A to Z GIS ref Representing three dimensional map information There are two approaches for representing three dimensional map information, and for managing it in the datamodel . ref name DRS03 Image Representing three dimensional map information.jpg thumb 420px Approaches for representing three dimensional map information, and for managing it in the datamodel. ref name DRS03 David R. Soller1 and Thomas M. Berg 2003 . http pubs.usgs.gov of 2003 of03 471 soller1 index.html The National Geologic Map Database Project ... into the bedrock surface. Each geologic unit in raster format can be managed in the datamodel, in a manner ..., and represents one occurrence of this unit in the datamodel. Each raster, or pixel, on the Mahomet Sand surface has a set of map coordinates that are recorded in a GIS in the datamodel bin ... data . Each pixel can have a unique set of descriptive information, such as surface elevation, unit thickness, lithology , transmissivity, etc. . See also DatamodelDatamodel ArcGIS Data structure Georelational datamodel GIS References Reflist Further reading Commons category Datamodel GIS B.R. Johnson et al. 1998 . Digital geologic map datamodel . v. 4.3 AASG USGS DataModel Working Group .... Datamodel DEFAULTSORT DataModel Gis Category Data modeling Category Geographic information systems ... stacked surfaces depict the surface of each buried geologic unit, and can accommodate data on lateral ... more details
A standard datamodel or industry standard datamodel ISDM is a datamodel that is widely applied in some industry, and shared amongst competitors to some degree. They are often defined by standards bodies , database vendor s or operating system vendor s. When in use, they enable easier and faster information sharing because heterogeneous organizations have a standard vocabulary and pre negotiated semantics, format, and quality standards for exchanged data. The standardization has an impact on software architecture as solutions that vary from the standard may cause data sharing issues and problems if data is out of compliance with the standard. The more effective standard models have developed in the banking, insurance, pharmaceutical and automotive industries, to reflect the stringent standards applied to customer information gathering, customer privacy , consumer safety , or Just In Time business just in time manufacturing . Typically these use the popular relational model of database management, but some use the hierarchical model , especially those used in manufacturing or mandated ... software is probably not very appropriate. An emerging area of standard datamodel is in the identity ..., other public transport , hospitals, are expected soon to rely on a standard datamodel for identifying the card holder user of the facility. This may contain biometric information or other data that would ... more deeply in an article on standard user model s. References Unreferenced date October 2008 External links http www.ppdm.org ppdm standards ppdm lite 1 1 datamodel Professional Petroleum Data Management Association Lite DataModel http www.energistics.org energistics standards directory Energistics ... Data Standard See also standard object model , standard document object model Category Data modeling ... implementation trade offs, the underlying goal of these standards is to make sharing of data easier. The most complex data models known are in military use, and consortia such as NATO tend to require ... more details
File Physical DataModel Options.jpg thumb 320px Physical DataModel Options. ref name WH05 http georgewbush whitehouse.archives.gov omb egov documents CRM.PDF FEA Consolidated Reference Model Document . whitehouse.gov May 2005. p.91. ref A physical datamodel or database design is a representation of a data design which takes into account the facilities and constraints of a given database management system . In the Project lifecycle lifecycle of a project it typically derives from a logical datamodel , though it may be reverse engineer ed from a given database implementation. A complete physical datamodel will include all the database artifact s required to create relationships between table s or to achieve performance goals, such as index database index es, constraint definitions, linking tables, partitioned table s or cluster computing cluster s. Analysts can usually use a physical datamodel to calculate storage estimates it may include specific storage allocation details for a given database system. As of 2012 seven main databases dominate the commercial marketplace Informix Dynamic Server Informix , Oracle Database Oracle , PostgreSQL Postgres , Microsoft SQL Server SQL Server , Sybase , IBM DB2 DB2 and MySQL . Other RDBMS systems tend either to be legacy databases or used within academia such as universities or further education colleges. Physical data models for each implementation would differ significantly, not least due to underlying operating system operating system requirements that may sit underneath them. For example SQL Server runs only on Microsoft Windows operating systems, while Oracle and MySQL can run on Solaris, Linux and other UNIX based operating systems as well as on Windows. This means that the disk requirements, security requirements and many other aspects of a physical datamodel will be influenced by the RDBMS that a database administrator ... Physical DataModel Category Data modeling Category Article Feedback 5 ... more details
The associative model of data is an alternative datamodel for database systems. Other data models, such as the relational model and the object datamodel, are record based. These models involve encompassing attributes about a thing, such as a car, in a record structure. Such attributes might be registration, colour, make, model, etc. In the associative model, everything which has discrete independent existence is modeled as an entity, and relationships between them are modeled as associations. The granularity at which data is represented is similar to schemes presented by Chen Entity relationship model Bracchi, Paolini and Pelagatti Binary Relations and Senko The Entity Set Model . A number of claims made about the model by Simon Williams, in his book The Associative Model of Data , distinguish the associative model from more traditional models. Discussion In an associative database management system, data and metadata data about data are stored as two types of things Items, each of which has a unique identifier and a name. Links, each of which has a unique identifier, together with the unique identifiers of three other things, that represent the source, verb and target of a fact that is recorded about the source in the database. Each of the three things identified by the source, verb and target may each be either a link or an item. Here s how the associative model would use these two structures to store the piece of information Flight BA1234 arrived at London Heathrow on 12 Dec 05 at 10 25am . There are seven items the four nouns Flight BA1234 , London Heathrow , 12 Dec 05 and 10 25am , and the three verbs arrived at , on and at . We need three links to store the data. They are Flight BA1234 arrived at London Heathrow ... on 12 Dec 05 ... at 10 25am The first link has Flight BA1234 as its source, arrived at as its verb and London Heathrow as its target. The second link ... Model of Data Database models Category Database management systems ru ... more details
unreferenced date February 2010 File CPT Databases ManytoMany.svg thumb 250px center An Author can write several Books, and a Book can be written by several Authors In systems analysis , a many to many relationship is a type of cardinality data modeling cardinality that refers to the relationship between two entities see also Entity Relationship Model A and B in which A may contain a parent row for which there are many children in B and vice versa. For instance, think of A as Authors, and B as Books. An Author can write several Books, and a Book can be written by several Authors. Because most DBMS database management systems only support one to many relationships, it is necessary to implement such relationships physically via a third junction table junction table cross reference table , say, AB with two one to many relationships A AB and B AB. In this case the logical primary key for AB is formed from the two foreign key s i.e. copies of the primary key s of A and B . In web application framework s such as CakePHP and Ruby on Rails , a many to many relationship between database tables in a model is sometimes referred to as a HasAndBelongsToMany HABTM relationship. See also Associative Entities Category Data modeling pt N para N ... more details
browse.asp?catID 1684 Category Data modeling de Shared Information & DataModel ru SID ... development. The SID model takes inspiration from a wide variety of industry sources, but its ... Brook from AT&T and BT Group BT and the Directory Enabled Networks next generation DEN ng model created by John Strassner. When initially released in 2000, the SID model covered the business BSS arena ... logical networks and capacity. These deficiencies are being addressed through revision of the model to include concepts such as topologies, but the history has resulted in poor utilisation of the model ... in the SID model Market Sales ABEs Competitor, Market Segment, Market Strategy Plan, Marketing ... more details
Finite Element Method Finite element models FEM are nowadays used to calculate complex structures and mechanical systems. Since the grown calculation capacity of computers makes it possible to make more and more detailed Finite Element Method finite element models , the file output of these programs can be enormous. It can be so large that you need to post process this data. Postprocessing may be defined as the art of results representation . Post processing of finite element data generally requests additional software to organize the output such that it is easily understandable whether the construction is acceptable or not. ref J.Y.Lee and S Y.Ahn,Interactive visualization of elasto plastic behavior through stress paths and yield surfaces in finite element analysis, Finite Element in Analysis and Design, 47 2011 , pp496 510 ref It can include checks on the codes and standards to which the construction must comply as well as the check on buckling of the structure. Writing this software is part of the knowledge based engineering principle. References reflist Category Finite element software Orphan date June 2009 ... more details
language . See also Ontology matching Semantic integration semantic translation datamodel mediation Enterprise Application Integration Semantic Mapping References http web services.gov OntologiesSemanticWebSemInteropSICOP909 Obrst.ppt Ontologies & the Semantic Web for Semantic Interoperability Leo Obrst Semantic Web Category Semantic Web ...A semantic mapper is tool or service that aids in the transformation of data element s from one namespace into another namespace. A semantic mapper is an essential component of a semantic broker and one tool that is enabled by the Semantic Web technologies. Essentially the problems arising in semantic mapping are the same as in data mapping for data integration purposes, with the difference that here the semantic relationships are made explicit through the use of semantic net s or Ontology information science ontologies which play the role of data dictionary data dictionaries in data mapping. Structure of a semantic mapper A semantic mapper must have access to three data sets List of data elements source Namespace computer science namespace List of data elements in destination namespace List of semantic equivalent statements between source and destination e.g. http www.w3.org TR 2004 REC owl ref 20040210 equivalentClass def owl equivalentClass , http www.w3.org TR 2004 REC owl ref 20040210 equivalentProperty def owl equivalentProperty or http www.w3.org TR 2004 REC owl ref 20040210 sameAs def owl sameAs in Web Ontology Language OWL . A semantic mapper processes on a list of data elements in the source namespace. The semantic mapper will successively translate the data elements from the source namespace to the destination namespace. The mapping does not necessarily need to be a one to one mapping. Some data elements may map to several data elements in the destination. Some semantic mappers are static in that they will do a one time data transforms. Others will generate an executable ... more details
notability date January 2012 confusing date September 2011 The Semantic Grid refers to an approach to grid computing in which information, computing resources and services are described using the semanticdatamodel . In this model the data and metadata are expressed through facts small sentences . Therefore it becomes directly understandable for humans. This makes it easier for resources to be discovered and joined up automatically, which helps bring resources together to create virtual organization grid computing virtual organizations VOs . The descriptions constitute metadata and are typically represented using the technologies of the Semantic Web , such as the Resource Description Framework RDF . By analogy with the Semantic Web, the Semantic Grid can be defined as an extension of the current Grid in which information and services are given well defined meaning, better enabling computers and people to work in cooperation. This notion of the Semantic Grid was first articulated in the context of e Science , observing that such an approach is necessary to achieve a high degree of easy to use and seamless automation enabling flexible collaborations and computations on a global scale. The use of Semantic Web and other knowledge technologies in Grid applications is sometimes described as the Knowledge Grid . Semantic Grid extends this by also applying these technologies within the Grid middleware . Some Semantic Grid activities are coordinated through the Semantic Grid Research Group of the Global Grid Forum . See also Standards Semantic Web Rule Language SWRL Application areas ... e Tourism External links http www.semanticgrid.org Semantic Grid website http www.ontogrid.net ONTOGRID EU funded research project for enabling semantic grid applications http www.dagstuhl.de 05271 Semantic Grid Dagstuhl Seminar http www.springerlink.com index r3w7115088ggw883.pdf Semantic Grid oriented to eTourism Category Grid computing Category Semantic Web de Semantic Grid ... more details
. See also Data mapping Semantic mapping Federated search Intelligent agents ISO IEC 11179 National Information Exchange ModelSemantic Web Vocabulary based transformation Web Ontology Language DEFAULTSORT Semantic Translation Category Data management Category Enterprise application integration ...Unreferenced date December 2009 Semantic translation is the process of using semantic information to aid in the translation of data in one representation or datamodel to another representation or datamodel. Semantic translation takes advantage of semantics that associate meaning with individual data element s in one data dictionary dictionary to create an equivalent meaning in a second system. An example of semantic translation is the conversion of XML data from one datamodel to a second datamodel using formal ontologies for each system such as the Web Ontology Language owl . This is frequently ... different data models to store their data elements. The process of allowing a single user to search multiple systems with a single search request is also known as federated search . Semantic translation should be differentiated from data mapping tools that do simple one to one translation of data from one system to another without actually associating meaning with each data element. Semantic translation requires that data elements in the source and destination systems have semantic mappings to a central registry or registries of data elements. The simplest mapping is of course where there is equivalence. There are three types of Semantic equivalence Class computer science Class Equivalence .... For example Dan Smith is the same person as Daniel Smith Semantic translation is very difficult if the terms in a particular datamodel do not have direct one to one mappings to data elements in a foreign datamodel. In that situation an alternative approach must be used to find mappings from the original data to the foreign data elements. This problem can be alleviated by centralized metadata ... more details
Unreferenced date December 2009 notability date May 2011 A semantic broker is a computer service that automatically provides semantic mapper services. A semantic broker is frequently part of a semantic middleware system that leverage semantic equivalence statements. To qualify as a semantic broker product a system must be able to automatically extract data from a message and use semantic equvalance statements to transform this into another namespace. See also Intelligent agent Semantic Web DEFAULTSORT Semantic Broker Category Information systems Category Semantic Web ... more details
oriented organization needs something to gather and use knowledge or human feeling. Semantic warehousing will be equally or more important than data warehousing in the future. Definition Semantic ... information from digitalized text based knowledge data. Background Data warehousing DW is popular these days. Gathering data from systems that generate transactions, data warehouse become base of information . Key of data warehouse is model called datamart and model is made of dimensions ... for Metadata Management in Data Warehousing Environment. Semantic metadata and technical metadata ... 2009 In certain areas like medical and clinical, data is digitalized text. Value computer science Key value operation is less useful for the digitalized text. Semantic warehousing is base of digitalized text data using similar functions as Data warehousing DW , such as ETL Extract, transform, load , ODS Operational data store , and MODEL. br Semantic warehousing is different from DW in that semantic information base from text semanticdata. br Semantic warehousing is different from search engine in that semantic information base from text data stored in database. DBMS Though data is most important word in computing era, it can not explain human knowledge well yet. Data numeric data is key element ... Internet , eager to present their contents as semantic way. Briefly speaking semantic warehousing has datawarehousing boby and search head and ontology features. Practices Some hospital implement semantic .... UMLS define semantic knowledge network of medical language. Currently medical information stored in database and not fully used for clinic. Semantic warehousing is next stage of digitalized medical ... on SWCI br 1. Semantic oriented cleansing br 2. Semantic oriented meta management br 3. Clinical Medical knowledge basement br 4. Semantic oriented user intelligence Connected area Semantic ... Record , EHR Electronic health record Electronic Health Record br Data warehouse br AI artificial ... more details
Semantic mapping can refer to Semantic mapping statistics , a dimensionality reduction method in statistics Semantic mapping literacy , a technique in which graphical models are used to help school students learn vocabulary Semantic mapping, the transformation of data elements from one namespace into another namespace on the Semantic Web, performed by a semantic mapper disambig ... more details
In software , semantic technology encodes meanings separately from data and content files, and separately ... of data, content, and processes. Second, from the portal perspective, semantic technologies ... with them at execution time. With semantic technologies, adding, changing and implementing new relationships ... model that these programs share. With traditional information technology , on the other hand, meanings and relationships must be predefined and hard wired into data formats and the application program ..., and then recode the data structures and program logic to accommodate it, and then apply these changes to the database and the application. Then, and only then, can they implement the changes. Semantic ..., information and meaning extraction, and categorization. Given a question, semantic technologies can directly search topics, concepts, associations that span a vast number of sources. Semantic technologies ..., and responsive interaction than with information technologies alone. See also Metadata Semantic web Ontology computer science Business Intelligence 2.0 BI 2.0 Semantic targeting References J.T. Pollock, R. Hodgson. Adaptive Information Improving Business Through Semantic Interoperability, Grid Computing .... Semantic search. In WWW2003 Proc. of the 12th international conference on World Wide Web , pp 700 709. ACM Press , 2003. I. Polikoff and D. Allemang. Semantic technology. TopQuadrant Technology Briefing v1.1, September 2003. Tim Berners Lee T. Berners Lee , J. Hendler, and O. Lassila. The Semantic .... Scientific American , May 2001. A.P. Sheth, C. Ramakrishnan. Semantic Web Technology In Action Ontology Driven Information Systems For Search, Integration and Analysis. IEEE Data Engineering .... The Business Value of Semantic Technologies. Presentation and Report. Semantic Technologies for E Government, September 2004. P. Hitzler, M. Kr tzsch, S. Rudolph, Foundations of Semantic Web Technologies ... Semantic Technology Conference http www.semanticarts.com Semantic Technology and the Enterprise Category ... more details
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