326,470 research outputs found
Entretien avec Ajit S. Bhalla
Full text linkVersion anglaise disponible dans la Bibliothèque numérique du CRDI: In conversation : Ajit S. Bhall
In conversation : Ajit S. Bhalla
Full text linkFrench version available in IDRC Digital Library: Entretien avec Ajit S. Bhall
Typed script: "Autobiography of Sardar Ajit Singh"
Full text linkAutobiographical Note by Sardar Ajit Singh written in May 1947 which he proposed to be named as "Buried Alive
Ajit K. Neogy, Decolonization of French India. Liberation Movement and Indo-French Relations, 1947-1954
No full textMiles William F. S. Ajit K. Neogy, Decolonization of French India. Liberation Movement and Indo-French Relations, 1947-1954. In: L'Homme, 1999, tome 39 n°149. Anthropologie psychanalytique. pp. 269-270
Ajit K. Neogy, Decolonization of French India. Liberation Movement and Indo-French Relations, 1947-1954
No full textMiles William F. S. Ajit K. Neogy, Decolonization of French India. Liberation Movement and Indo-French Relations, 1947-1954. In: L'Homme, 1999, tome 39 n°149. Anthropologie psychanalytique. pp. 269-270
Constraint capture and maintenance in engineering design
Full text linkThe Designers' Workbench is a system, developed by the Advanced Knowledge Technologies (AKT) consortium to support designers in large organizations, such as Rolls-Royce, to ensure that the design is consistent with the specification for the particular design as well as with the company's design rule book(s). In the principal application discussed here, the evolving design is described against a jet engine ontology. Design rules are expressed as constraints over the domain ontology. Currently, to capture the constraint information, a domain expert (design engineer) has to work with a knowledge engineer to identify the constraints, and it is then the task of the knowledge engineer to encode these into the Workbench's knowledge base (KB). This is an error prone and time consuming task. It is highly desirable to relieve the knowledge engineer of this task, and so we have developed a system, ConEditor+ that enables domain experts themselves to capture and maintain these constraints. Further we hypothesize that in order to appropriately apply, maintain and reuse constraints, it is necessary to understand the underlying assumptions and context in which each constraint is applicable. We refer to them as “application conditions” and these form a part of the rationale associated with the constraint. We propose a methodology to capture the application conditions associated with a constraint and demonstrate that an explicit representation (machine interpretable format) of application conditions (rationales) together with the corresponding constraints and the domain ontology can be used by a machine to support maintenance of constraints. Support for the maintenance of constraints includes detecting inconsistencies, subsumption, redundancy, fusion between constraints and suggesting appropriate refinements. The proposed methodology provides immediate benefits to the designers and hence should encourage them to input the application conditions (rationales)
Enhancing the Common Information Space for Open and Distance Learning and Animal and Fisheries Production
Full text linkPCF5 Sub-theme: Livelihoods // Working paper presented by Lonkar, P S and Maru, Ajit at the Pan-Commonwealth Forum on Open Learning (PCF5) in London, United Kingdom. // Paper ID 274
Transfert de technologie, technologie appropriée et emploi, avec une référence spéciale à l'agriculture
No full textBhalla Ajit S. Transfert de technologie, technologie appropriée et emploi, avec une référence spéciale à l'agriculture. In: Tiers-Monde, tome 17, n°65, 1976. Le transfert de technologies, sous la direction de Dimitri Germidis. pp. 43-61
The role of ontologies in creating and maintaining corporate knowledge: a case study from the aero industry
No full textThe Designers’ Workbench is a system, developed to support designers in large organizations, such as Rolls-Royce, by making sure that the design is consistent with the specification for the particular design as well as with the company’s design rule book(s). The evolving design is described against a jet engine ontology. Currently, to capture the constraint information, a domain expert (design engineer) has to work with a knowledge engineer to identify the constraints, and it is then the task of the knowledge engineer to encode these into the Workbench’s knowledge base (KB). This is an error prone and time consuming task. It is highly desirable to relieve the knowledge engineer of this task, and so we have developed a tool, ConEditor+ that enables domain experts themselves to capture and maintain these constraints. The tool allows the user to combine selected entities from the domain ontology with keywords and operators of a constraint language to form a constraint expression. Further, we hypothesize that to apply constraints appropriately, it is necessary to understand the context in which each constraint is applicable. We refer to this as “application conditions”. We show that an explicit representation of application conditions, in a machine interpretable format, along with the constraints and the domain ontology can be used to support the verification and maintenance of constraints
ConEditor+: Capture and Maintenance of Constraints in Engineering Design
No full textThe Designers' Workbench is a system, developed to support designers in large organizations, such as Rolls-Royce, by making sure that the design is consistent with the specification for the particular design as well as with the company’s design rule book(s). Currently, to capture the constraint information, a domain expert (design engineer) has to work with a knowledge engineer to identify the constraints, and it is then the task of the knowledge engineer to encode these into the Workbench's knowledge base (KB). This is an error prone and time consuming task. It is highly desirable to relieve the knowledge engineer of this task, and so we have developed a tool, ConEditor+ that enables domain experts themselves to capture and maintain these constraints. The tool allows the user to combine selected entities from the domain ontology with keywords and operators of a constraint language to form a constraint expression. Further, we hypothesize that to apply constraints appropriately, it is necessary to understand the context in which each constraint is applicable. We refer to this as "application conditions". We show that an explicit representation of application conditions, in a machine interpretable format, along with the constraints and the domain ontology can be used to support the verification and maintenance of constraints
- …
