User centered ontology for Sri Lankan farmers

Walisadeera, Anusha Indika; Ginige, Athula; Wikramanayake, Gihan

doi:10.1016/j.ecoinf.2014.07.008

Cited by 42 publications

(37 citation statements)

References 7 publications

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“…We therefore have reviewed existing literature on crop selection to identify a suitable criterion which can be used to make better decisions. Then we summarized the existing criteria and identified a suitable crop selection criterion for our application based on the requirements of agriculture community in Sri Lanka [11]. It includes the environmental conditions, the special characteristics of a crop, user preferences, about what other farmers grow in different regions and its quantities, and the market information.…”

Section: B Users' Information Needs In Contextmentioning

confidence: 99%

“…Currently it has 23 vegetable crops, 10 fertilizers, 19 growing problems, and 30 control methods. The more details of the ontology development are explained in [11]. …”

Section: Representation Of Contextualized Informationmentioning

confidence: 99%

“…The Knowledge Base based on the ontology was created by populating the ontology with instances to share and reuse the agricultural information via the Web [11]. The online knowledge base can also be used for evaluation process.…”

Section: E Validation and Evaluation Processmentioning

confidence: 99%

“…We used the CQs to evaluate the ontological commitments to see whether the ontology meets the users' requirements using Description Logic (DL) queries and SPARQL queries [11].…”

Section: E Validation and Evaluation Processmentioning

confidence: 99%

“…Next we extended the ontology to include events associated with the farming life cycle such as fertilizers, growing problems, and their control methods [10]. A revised and enhanced version of the work including the creation of an online knowledge base and an information retrieval interface has been published in [11]. In this paper we have presented a summary of the overall development process of the user centered ontology and the end-to-end ontology management system with respect to the domain of agriculture in Sri Lanka.…”

Section: Introductionmentioning

confidence: 99%

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Developing a community-based knowledge system: a case study using Sri Lankan agriculture

Walisadeera

Ginige

Wikramanayake

2016

Int J on Adv. in ICT for Emerging Countries

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Abstract-The Agriculture sector plays a vital role in Sri Lanka's economy. Not having an agricultural knowledge repository that can be easily accessed by people in agriculture community in Sri Lanka within their own context, is a major problem. As a solution, a large user centred ontology for Sri Lankan farmers was developed to provide required information/knowledge not only in a structured and complete way, but also in a context-specific manner. Since this problem is not only limited to farmers, we extend this for every one working in the agriculture domain. We validate the ontology in terms of accuracy and quality. The online knowledge base based on the ontology with a SPARQL endpoint was created to share and reuse the domain knowledge that can be queried based on user context. A Mobile based application and a Web based application were developed to provide information/knowledge by using this ontology. These applications are also used to evaluate the ontology by getting the feedbacks from users to the knowledge in the ontology. It is very difficult to maintain a large complex ontology. To maintain our ontology, we identified various processes that are required to develop and maintain ontology as a collaborative process. A semi-automatic end-toend ontology management system was developed to manage the developed ontology and the knowledge base. It provides the facilities to reuse, share, modify, extendand prune the ontology components as required. The facilities to capture users' information needs and search domain information in user context are also included. In this paper, we present a summary of the overall development process of the ontology including the end-to-end ontology management system.

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Section: B Users' Information Needs In Contextmentioning

confidence: 99%

“…Currently it has 23 vegetable crops, 10 fertilizers, 19 growing problems, and 30 control methods. The more details of the ontology development are explained in [11]. …”

Section: Representation Of Contextualized Informationmentioning

confidence: 99%

Section: E Validation and Evaluation Processmentioning

confidence: 99%

“…We used the CQs to evaluate the ontological commitments to see whether the ontology meets the users' requirements using Description Logic (DL) queries and SPARQL queries [11].…”

Section: E Validation and Evaluation Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations