Knowledge Discovery Metamodel

Knowledge Discovery Metamodel (KDM) is a publicly available specification from the Object Management Group (OMG). KDM is a common intermediate representation for existing software systems and their operating environments, that defines common metadata required for deep semantic integration of Application Lifecycle Management tools. KDM was designed as the OMG's foundation for software modernization, IT portfolio management and software assurance. KDM uses OMG's Meta-Object Facility to define an XMI interchange format between tools that work with existing software as well as an abstract interface (API) for the next-generation assurance and modernization tools. KDM standardizes existing approaches to knowledge discovery in software engineering artifacts, also known as software mining.

History

  • In November 2003, the OMG's Architecture-Driven Modernization Task Force recommended, and the Platform Technical Committee issued, the Knowledge Discovery Metamodel (KDM) RFP. The objective of this RFP was to provide a common repository structure to represent information about existing software assets and their operating environment. The goal of KDM was defined as exchanging information related to transformation of existing software assets. The RFP stated that KDM shall provide the ability to document existing systems, discover reusable components in existing software, support transformations to other languages and to MDA, or enable other potential transformations. The Knowledge Discovery Metamodel will also enable information about existing software artifacts to be exchanged among different tools. This will enable vendors that specialize on certain languages, platforms or types of transformations to deliver customer solutions in conjunction with other vendors.
  • The original KDM RFP is available to OMG members for download (document lt/03-11-04).
  • Throughout 2004 and 2005 12 companies collaborated to prepare a joint response to the KDM RFP. More than 30 organizations from 5 countries have contributed to the development and review of the KDM specification.
  • In May 2006, the Team's submission—the Knowledge Discovery Metamodel (KDM) -- moved into the finalization stage of the OMG's standards adoption process. The OMG adopted Specification for KDM became publicly available (OMG document ptc/06-06-07).
  • In March 2007 the KDM Finalization Task Force finished the finalization stage of the OMG's standards adoption process. The formal KDM specification KDM 1.0 is available from OMG (http://www.omg.org/spec/KDM/1.0/ KDM 1.0]).
  • The latest version of the spec was finalized in July 2011, making KDM 1.3 the most recent version.
  • KDM Analytics maintains Open portal for KDM news, reference and education materials and tools

Overview

The goal of KDM is to ensure interoperability between tools for maintenance, evolution, assessment and modernization. KDM is defined as a metamodel that can be also viewed as an ontology for describing the key aspects of knowledge related to the various facets of enterprise software. KDM support means investment into the KDM ecosystem – a growing open-standard based cohesive community of tool vendors, service providers, and commercial components.

KDM represents entire enterprise software systems, not just code. KDM is a wide-spectrum entity-relationship representation for describing existing software. KDM represents structural and behavior elements of existing software systems. The key concept of KDM is a container: an entity that owns other entities. This allows KDM to represent existing systems at various degrees of granularity.

KDM defines precise semantic foundation for representing behavior, the so-called micro-KDM. It provides a high-fidelity intermediate representation which can be used, for example, for performing static analysis of existing software systems. micro-KDM is similar in purpose to a virtual machine for KDM, although KDM is not an executable model, or a constraint model, but a representation of existing artifacts for analysis purposes.

KDM facilitates incremental analysis of existing software systems, where the initial KDM representation is analyzed and more pieces of knowledge are extracted and made explicit as KDM to KDM transformation performed entirely within the KDM technology space. The steps of the knowledge extraction process can be performed by tools, and may involve the analyst.

KDM is the uniform language- and platform- independent representation. Its extensibility mechanism allows addition of domain-, application- and implementation-specific knowledge.

Architecture

ADM KDM
Knowledge Discovery Metamodel consists of 12 packages arranged into 4 layers.

KDM packages are arranged into the following four layers:

Infrastructure Layer

The KDM Infrastructure Layer consists of the Core, kdm, and Source packages which provide a small common core for all other packages, the inventory model of the artifacts of the existing system and full traceability between the meta-model elements as links back to the source code of the artifacts, as well as the uniform extensibility mechanism. The Core package determines several of the patterns that are reused by other KDM packages. Although KDM is a meta-model that uses Meta-Object Facility, there is an alignment between the KDM Core and Resource Description Framework (RDF).

Program Elements Layer

The Program Elements Layer consists of the Code and Action packages.

  • The Code package represents programming elements as determined by programming languages, for example data types, procedures, classes, methods, variables, etc. This package is similar in purpose to the Common Application Meta-model (CAM) from another OMG specification, called Enterprise Application Integration (EAI). KDM Code package provides greater level of detail and is seamlessly integrated with the architecturally significant views of the software system. Representation of datatypes in KDM is aligned with ISO standard ISO/IEC 11404 (see also General Purpose Datatypes).
  • The Action package captures the low level behavior elements of applications, including detailed control- and data flow between statements. Code and Action package in combination provide a high-fidelity intermediate representation of each component of the enterprise software system

Resource Layer

The Resource Layer represents the operational environment of the existing software system. It is related to the area of Enterprise Application Integration (EAI).

  • Platform package represents the operating environment of the software, related to the operating system, middleware, etc. including the control flows between components as they are determined by the runtime platform
  • UI package represents the knowledge related to the user interfaces of the existing software system
  • Event package represents the knowledge related to events and state-transition behavior of the existing software system
  • Data package represents the artifacts related to persistent data, such as indexed files, relational databases, and other kinds of data storage. These assets are key to enterprise software as they represent the enterprise metadata. The KDM Data package is aligned with another OMG specification, called Common Warehouse Metamodel (CWM)

Abstractions Layer

The Abstraction Layer represents domain and application abstractions.

  • Conceptual package represent business domain knowledge and business rules, insofar as this information can be mined from existing applications. These packages are aligned with another OMG specification, called Semantics of Business Vocabulary and Business Rules (SBVR)
  • Structure package describes the meta-model elements for representing the logical organization of the software system into subsystems, layers and components
  • Build package represents the engineering view of the software system

See also

External links

Architecture-driven modernization

Architecture-driven modernization is the name of the initiative of the Object Management Group (see OMG ADM Task Force website) related to building and promoting standards that can be applied to modernize legacy systems. The objective of this initiative is to provide standard representations of views of existing systems in order to enable common modernization activities, such as code analysis and comprehension, and software transformation.

KDM

KDM or Kdm may refer to:

Korean domestic market, Korea's economic market system

KDE Display Manager, a graphical login interface for Unix-like operating systems

Knowledge Discovery Metamodel, OMG specification for architecture-driven modernization

Kongelige Danske Marine (His/Her Danish Majesty's Ship) — ship prefix of the Royal Danish Navy

Kingdom Death: Monster, a cooperative board game created by Adam Poots

Martin KDM Plover, the target drone conversion of the PTV-N-2 Gorgon IV missile

Knowledge extraction

Knowledge extraction is the creation of knowledge from structured (relational databases, XML) and unstructured (text, documents, images) sources. The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates inferencing. Although it is methodically similar to information extraction (NLP) and ETL (data warehouse), the main criteria is that the extraction result goes beyond the creation of structured information or the transformation into a relational schema. It requires either the reuse of existing formal knowledge (reusing identifiers or ontologies) or the generation of a schema based on the source data.

The RDB2RDF W3C group is currently standardizing a language for extraction of resource description frameworks (RDF) from relational databases. Another popular example for knowledge extraction is the transformation of Wikipedia into structured data and also the mapping to existing knowledge (see DBpedia and Freebase).

Metadata standard

A metadata standard is a requirement which is intended to establish a common understanding of the meaning or semantics of the data, to ensure correct and proper use and interpretation of the data by its owners and users. To achieve this common understanding, a number of characteristics, or attributes of the data have to be defined, also known as metadata.

Model-driven architecture

Model-driven architecture (MDA) is a software design approach for the development of software systems. It provides a set of guidelines for the structuring of specifications, which are expressed as models. Model-driven architecture is a kind of domain engineering, and supports model-driven engineering of software systems. It was launched by the Object Management Group (OMG) in 2001.

Reverse engineering

Reverse engineering, also called back engineering, is the process by which a man-made object is deconstructed to reveal its designs, architecture, or to extract knowledge from the object; similar to scientific research, the only difference being that scientific research is about a natural phenomenon.Reverse engineering is applicable in the fields of mechanical engineering, electronic engineering, software engineering, chemical engineering, and systems biology.

Semantics of Business Vocabulary and Business Rules

The Semantics of Business Vocabulary and Business Rules (SBVR) is an adopted standard of the Object Management Group (OMG) intended to be the basis for formal and detailed natural language declarative description of a complex entity, such as a business. SBVR is intended to formalize complex compliance rules, such as operational rules for an enterprise, security policy, standard compliance, or regulatory compliance rules. Such formal vocabularies and rules can be interpreted and used by computer systems. SBVR is an integral part of the OMG's model-driven architecture (MDA).

Software Metrics Metamodel

The OMG Structured Metrics Metamodel (SMM) specification defines a standard Metrics Metamodel. It is a publicly available specification from the Object Management Group (OMG). SMM specifies a metamodel for defining, representing and exchanging both measures and measurement information related to any structured information model, such as the OMG Meta Object Facility (MOF™) standard, defining an XMI interchange format between metric extraction tools. It is used to maintain metrics by a number of other OMG specifications such as the Knowledge Discovery Metamodel and the Value Delivery Metamodel.

Software mining

Software mining is an application of knowledge discovery in the area of software modernization which involves understanding existing software artifacts. This process is related to a concept of reverse engineering. Usually the knowledge obtained from existing software is presented in the form of models to which specific queries can be made when necessary. An entity relationship is a frequent format of representing knowledge obtained from existing software. Object Management Group (OMG) developed specification Knowledge Discovery Metamodel (KDM) which defines an ontology for software assets and their relationships for the purpose of performing knowledge discovery of existing code.

ISO standards by standard number
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