Knowledge Map Service based on Ontology of Nation R&amp;D Information

Kim, Suntae; Lee, Won-Goo

doi:10.14400/jdc.2016.14.3.251

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…Highly effective results for common keywords are achieved in a global environment. Kim and Lee (2016) have proposed a framework based on the construction of knowledge map for representing and modelling of knowledge in a heterogeneous environment of multi domain ontologies. The entire focus is on representing relationships that are document centred.…”

Section: Related Workmentioning

confidence: 99%

An intelligent inventive system for personalised webpage recommendation based on ontology semantics

Deepak

Ahmed²,

Skanda

2019

IJISTA

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Owing to the information diversity in the web and its dynamically changing contents, extraction of relevant information from the web is a huge challenge. With the World Wide Web transforming into a more organised semantic web, the incorporation of semantic techniques to retrieve relevant information is highly necessary. In this paper, a dynamic ontology alignment technique for recommending relevant webpages is proposed. The strategy focuses on knowledge tree construction by computing the semantic similarity between the query terms as well as the ontological entities. Furthermore, the semantic similarity is again computed between nodes of the constructed knowledge tree and URLs in the URL repository to recommend relevant webpages. The dynamic ontology alignment by computing their respective semantic similarity constitutes Ontology Semantics. Personalisation is achieved by prioritisation of webpages by content-based analysis of the users' web usage data. An overall accuracy of 87.73% is achieved by the proposed approach.

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Section: Related Workmentioning

confidence: 99%

An intelligent inventive system for personalised webpage recommendation based on ontology semantics

Deepak

Ahmed²,

Skanda

2019

IJISTA

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“…Kim et al, [7] have proposed a knowledge map framework for knowledge representation and modeling of multi-domain ontologies. The national R&D data is used as the major domain of data and knowledge map service is developed using lightweight ontology modeling strategies.…”

Section: Related Literaturementioning

confidence: 99%

A Hybridized Framework for Ontology Modeling incorporating Latent Semantic Analysis and Content based Filtering

N¹,

Deepak²,

J³

et al. 2016

IJCA

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In the era of Semantic Web, organization of the necessary Semantic Information becomes quite vital for improving overall retrieval efficiency of the Semantic Web contents. Ontologies are one of the most important and yet the most primary entities of the semantic web which is used for representing and modeling knowledge. Authoring of ontologies must be done in a highly systematic and an organized manner in order to validate the correctness of the ontologies authored. Several traditional ontology authoring systems are based on Semantic Wikis which use graphs to store the ontological entities that increase the overall complexity of ontologies which needs to be overcome. A Hash Table based ontology organization strategy is proposed which is further empowered by a Semantic Latent Analysis to compute the ontological relevance. Several agents are incorporated to check the correctness of ontologies. The proposed framework is further enhanced with Content Based Filtering for yielding better results. The proposed methodology yields an accuracy percentage of 88.99.

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“…M-commerce implies the use of portable media as means of marketing communication. A study by Kim, Yang, Kim, & Davaadorj (2010) revealed that these mobile applications provide several networks to reach customers through several strategies from SMS, pictures, videos, and multimedia messaging services to the mobile Internet, where SMS is the most popular and highly effective for generating brand awareness. Doyle (2001) contends that the success of SMS is based on its strategic features like ease of use, low cost, message forwarding ability, and unobtrusive nature.…”

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confidence: 99%

Effects of Digital Marketing Tools on the Performance of the Fashion Industry in Kisumu County, Kenya

Phenny¹,

Jeremiah²

2022

theijbm

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Despite studies suggesting that digital marketing practices have wide usage globally, there is currently no evidence in Kenya's fashion industry linking digital marketing tools to performance. This paper presented the findings on the influence of social media marketing, m-commerce, and website marketing as facets of digital marketing on the performance of Kenya's fashion industry. The study was guided by a Resource Based theory in a correlational research design. The study population constituted 560 SMEs in the fashion industry, out of which 30% (169) sample constituting proprietors of SMEs in Kisumu city in Kenya was picked using a stratified sampling technique. The findings revealed that digital marketing tools such as social media marketing, m-commerce, and Website marketing collectively accounted for 70.2% (R2=.702, p=0.000) variation in the performance of firms in the fashion industry within Kisumu City. Therefore, the study recommends that the proprietors of firms in the fashion industry should adopt and integrate digital marketing practices such as social media marketing and m-commerce into their business as they were seen to influence firm performance in the study context positively. The study findings, therefore, can be useful in informing policy-making relevant to the fashion industry.

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Knowledge Map Service based on Ontology of Nation R&D Information

Cited by 3 publications

References 16 publications

An intelligent inventive system for personalised webpage recommendation based on ontology semantics

An intelligent inventive system for personalised webpage recommendation based on ontology semantics

A Hybridized Framework for Ontology Modeling incorporating Latent Semantic Analysis and Content based Filtering

Effects of Digital Marketing Tools on the Performance of the Fashion Industry in Kisumu County, Kenya

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