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.
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.
KDM packages are arranged into the following four layers:
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).
The Program Elements Layer consists of the Code and Action packages.
The Resource Layer represents the operational environment of the existing software system. It is related to the area of Enterprise Application Integration (EAI).
The Abstraction Layer represents domain and application abstractions.
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 missileKnowledge 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.
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