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Semantic Web Query on E-Governance Data for Crop Ontology Model of Indian Agriculture Domain
No full textIndian agriculture constantly in progress since past three decades and is the major producer of crops in the world. Despite the fact that the natural calamities such as flood, un-natural weather conditions and land erosion adds to a large quantity of crops go in waste every year. But still it is maintaining to find a place in the world with record production of crops. In this regard use of web technology can play significant role in communication & resource availability of data at right time at right place through E-Governance by enabling effective communication and 24x7 service to all leading digital information media enabling to boost up the Indian economy using the internet web technology as – Semantic Web Network
Library Automation to Resource Discovery: A Review of Emerging Challenges
No full textPurpose - The objective of this study is to analyse the paradigm shift of library automation to
resource discovery by exploring the applications of resource discovery. The present status of
India on adapting resource discovery applications is discussed.
Design/methodology/approach - An evaluative method to examine the status quo of India
automation and resource discovery scenario is drawn with a related literature review. Moreover,
various pertinent global challenges of embracing discovery tools in the digital environment are
highlighted.
Findings - The growth of the Indian library automation industry is booming. However, library
software adaptation, next-generation catalogues enhancements and community development
avenues are dearth, seemingly remote and far from satisfactory.
Originality/value – Focuses on the emerging scenario of resource discovery applications with an
overview of global challenges
From Application Ontology to Core Ontology.
No full textIn this paper we present the design of a restaurant ontology, which involves
a methodology, Yet Another Methodology for Ontology (YAMO). It is a hybrid
approach that combines both top-down and bottom-up methods of knowledge
organization. The YAMO approach is highly motivated by Ranganathan’s analytico-synthetic classification theory. This paper has also portrayed mathematically how a subpart of the restaurant ontology can be used as core ontology for the domain food
Social Computing Platforms Leveraging Knowledge Flow Patterns
No full textThe loss of tacit knowledge, inability to capture and re use knowledge and lack
of structured workspace collaboration are frequently faced challenges in organizations. The change in knowledge sourcing behaviors by the current generation workforce has impacted the knowledge flow patterns in organizations. The paper attempts to analyze the impact of existing knowledge flow patterns in an organization and identify means to improve the
effectiveness of knowledge sharing initiatives in the organization via social computing platforms. Use of social computing platforms enables efficient workspace collaboration. As part of this study, customized solutions are calibrated based on knowledge flow patterns prevalent in teams. Knowledge Network Analysis (KNA) is a sociometric analysis performed to identify knowledge flow patterns and interactions among people in a team. The outcomes of the KNA describe the relationships between team members and
knowledge flows. KNA showcases the communication ties prevalent in teams and interactions between human and system resources. The results of these analyses are used to identify push and pull networks which in turn enable effective knowledge management. Results of this study reveal that analyzing the knowledge flow patterns in a team and deploying a customized social computing platform that is tailored to address the specific knowledge flow patterns within that team significantly enhances the impact as opposed to a
standardized “one-size-fits-all” platform. Impacts seen include a significant change in knowledge sourcing behaviors, resulting in capture of the tacit knowledge of employees, which further results in reducing the impact of employee movements & attrition. For instance, targeted Communities of Practice based on the presence of cliques in knowledge flow patterns within teams enabled the teams to be able to complete projects efficiently and
sustain the quality of deliverables
Managing Language Diversity Across Cultures: the English-Mongolian Case Study
No full textDeveloping ontologies from scratch appears to be very expensive in terms of cost and time required and often such efforts remain unfinished for decades. Ontology localization through translation seems to be a promising approach towards addressing this issue as it enables the greater reuse of the ontological (backbone) structure. However, managing language diversity across cultures remains as a challenge that has to be taken into account and dealt with right level of attention and expertise. In this paper we report the result of our experiment that was performed with approximately 1000 concepts, taken from
the space ontology originally developed in English, by providing their ranslation into Mongolian
Ontology and Inference Rules for Semantic Web based Applications
No full textThe minimum requirement of the Semantic Web applications in a Semantic Web technology is to create the ontology and RDF triple database. The Semantic Web based applications can make the use of its languages and technologies especially to those related to ontology. The ontology expresses the explicit knowledge of domain that the machine can understand and use the web ontology language like RDF, RDFS and OWL etc. and expression of description logics. In order to develop the Semantic Web based applications,
we introduce how the ontology and inference rules can be applied in Semantic Web applications. The inference based ontology shows the excellent performance and intelligent use of information for Semantic Web applications. As a case study, we have discussed the construction of ontology for university system to verify the concepts of ontology and inference rules which uses the technologies of both ontology and their rules to establish the knowledge base for the university
