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Past AI systems were domain specific intended to fulfill a particular task. These days, there is a need for versatile machines that are capable of performing multiple tasks, should be adaptive in nature and should have decision-making capabilities for any situation. At this point, the role of Cognitive Computing comes into the picture. Cognitive computing is a promising area of research, it is depicting...
This paper emphasizes on software effort estimation and knowledge management of practicing Scrum methodology that are challenging tasks in agile context. Proposed approach improves software effort estimation and knowledge management of software projects by focusing on Scrum process and practices using ontology model in a multiagent estimation system. It also motivates project key stakeholders to regularly...
At present, the application of Mongolian idioms is dwindling, and its national culture is disappearing gradually. Based on the current situation, the project will collect and organize idioms resources; use Microsoft's ASP.NET technology to develop a web platform to achieve its function modules on learning knowledge and question-answer system; and provide a convenient tool for idioms teaching and learning...
This paper describes a two-part system that helps developers understand how to search and reuse complex software libraries. First, we present an approach for automatic retrieval of software components in reuse libraries. Second, the system implements a source-code recommendation approach which automatically constructs and delivers relevant code examples that demonstrate how the retrieved components...
Recently, new Information Systems are being introduced to users on regular basis. At a certain point, users might deal with several systems producing overwhelming amount of information and resources. This is challenging on many levels, as the user has to look for information and resources in different Information Systems. One of the most important challenges here is the way to manage the resources...
In the modern era numerous information are available in the World Wide Web which makes it difficult to get the semantic information. Ontologies plays vital role after the evolution of the Semantic Web. Ontologies are used in various domains. Ontology is used to refine the search with semantics and give the best result to the user. This paper portrays the construction of two different domain ontologies...
Reuse is a highly favored concept in software engineering community, but it is the essence of successful Software Product Line (SPL) development, which enables the reuse of different types of software artifacts. Focus of this paper is on the reuse of SPL requirements: an ontology-based requirements reuse method is introduced for systematic reuse of product line requirements which is composed of an...
In this paper we propose a Semantic Engine for Cloud applications development: a semantically enabled Search Engine that can be used by cloud applications developers as development support. The Semantic Engine will be a component of the EU project mOSAIC's architecture. The Semantic Engine supports the application developer with semantic discovery of mosaic Cloud API functionalities and Components...
This paper discusses what functions the Interface Agent should have, gives a formal definition, and introduces using Q Language to interact with Interface Agent. An intelligent cooperative learning system is designed base on Interface Agent according to its functional partitions. Compared with the traditional cooperative learning platform, WebQuest, this system allow users to select agent and be grouped...
QoS-aware semantic web service composition concerns finding services from a repository to accomplish a specified task while meeting the Quality of Service (QoS) demands. The composition task is defined in form of a composition request which contains a set of available input parameters and wanted output parameters. If the input parameters given in the request are provided, the services of this set...
Manufacturing systems engineering projects depend on contributions from several engineering disciplines. These contributions consist of complex artifacts like mechanical, electrical, and software components and plans. While the software tools are strong in supporting each individual engineering discipline, there is very little work on engineering processes automation across semantically heterogeneous...
The agent-oriented development paradigm has achieved a high maturity level over the last decade. However, integrated development environments supporting all phases of agent-oriented development are still missing. This paper presents the MADAE-IDE environment, an integrated knowledge-based environment that automates the MADAE-Pro multi-agent software development process. Part of a case study aiming...
The goal of the research was to design and build an organic knowledge repository that had the inherent ability to grow and evolve over time. A design artifact - Constructivist Unifying Baccalaureate Epistemology (CUBE) - was designed and tested to validate the efficacy of this approach. Two models that facilitate this organic nature of the system were developed for this research; a Knowledge Weighting...
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