A spreading activation algorithm of spatial big data retrieval based on the spatial ontology model

Sun, Shengtao; Gong, Jianya; He, Jijun; Peng, Siwei

doi:10.1007/s10586-014-0417-5

Cited by 12 publications

(4 citation statements)

References 20 publications

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“…Such effort can be defined by the number of concepts leading to the concept in question. The KC measure is based on the Spread Activation algorithm, a widely used technique with applications in information retrieval and social recommendations [15], [46], as well as to highlight important concepts in ontologies [66]. Basically, all concepts leading to a given concept are said to activate c, and spread some flux of information to c. c, in turn, spreads some of the received flux over its successors.…”

Section: The Knowledge Commonality Measurementioning

confidence: 99%

Measuring the Similarity of Concept Maps According to Pedagogical Criteria

Limongelli

Marani²,

Sciarrone

et al. 2022

IEEE Access

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A concept map provides a graphic hierarchical means of representing how knowledge is structured in a domain. It visually organizes a set of concepts showing their mutual relations. An analysis of the similarities between two concept maps can produce significant results in any fields where Intelligent Knowledge Management is used, such as Healthcare, Policy Development, Energy and Waste Management, Resource Consumption Sustainability, Mobility, Safety, Citizen Empowerment, and, of course, Education. In an educational setting, a concept map conveys the various concepts connected by relations of dependence that a course must cover. However, the similarity between two concept maps for education has to be measured according to criteria that take into consideration the pedagogical properties of the maps, i.e., not only considering the structural aspects of the maps themselves. An automated analysis of the similarity between two concept maps can allow the teacher to reflect on different interpretations of the knowledge domain of a certain course as well as to assess how existing learning material can be implemented in a new course.Research into this aspect of concept mapping appears to be relatively scarce. This paper proposes criteria to assess the similarity of two concept maps, also based on pedagogical features, with the aim of providing teachers with better support during the course creation process. Each criterion is implemented through a specific measure function. The measures are then shown to be sensitive to their criterion rationale by evaluating them against a collection of random case studies.

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Section: The Knowledge Commonality Measurementioning

confidence: 99%

Measuring the Similarity of Concept Maps According to Pedagogical Criteria

Limongelli

Marani²,

Sciarrone

et al. 2022

IEEE Access

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“…Each internet user is an independent node. There is a certain relationship between nodes which is the propagation path relation (Sun et al, 2015). In the analysis of data statistics, a user's forwards from other users is classified as in-degree; a user's posts forwarded by other users is classified as out-degree.…”

Section: Problem Of Public Opinion Dissemination With Mobile Internet Accessmentioning

confidence: 99%

Public opinion information dissemination in mobile social networks – taking Sina Weibo as an example

Wang

Xing

Wei

et al. 2020

IDD

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Purpose Social media, especially microblog, has become one of the most popular platforms for public opinion dissemination. However, so far few studies have been conducted to explore information dissemination under the mobile environment. This paper aims to introduce the approach to analyze the public opinion information dissemination in mobile social networks. Design/methodology/approach This paper chooses “network attack” as the research topic and extracts 23,567 relevant messages from Sina Microblogs to study the structure of nodes for public opinion dissemination and the characteristics of propagation paths on mobile internet. Public opinion dissemination is compared on both mobile and non-mobile terminals. Findings The results reveal the characteristics of public opinion dissemination in mobile environment and identify three patterns of information propagation path. This study concludes that public opinion on mobile internet propagates more widely and efficiently and generates more impact than that on the non-mobile internet. Social implications The methods used in this study can be useful for the government and other organizations to analyze and identify problems in online information dissemination. Originality/value This paper explores the mechanism of public opinion dissemination on mobile internet in China and further investigates how to improve public opinion management through a case study related to “network attack.”

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“…The SA technology simulates the process of human association and has been widely applied in cognitive science, database, AI, biology, information retrieval, etc. [ 40 ]. After the rise of knowledge push research, many scholars have applied it to personalized knowledge push in Internet, e-commerce, and social networking, and achieved good results [ 41 , 42 ].…”

Section: Theoretical Background and Relevant Workmentioning

confidence: 99%

Retrieval of Semantic-Based Inspirational Sources for Emotional Design

et al. 2018

Computational Intelligence and Neuroscience

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In the conceptual design stage, inspirational sources play an important role in designers' creative thinking. This paper proposes a retrieval method for semantic-based inspirational sources, which helps designers obtain inspirational images in the conceptual design stage of emotional design. The core principle involves solving the designer's own deficiencies in associations and limited knowledge, by bridging the “semantic gap” faced by designers when they use Kansei words for inspirational sources. This method can be divided into two aspects: (1) based on the semantic richness of Kansei words, the first part describes how a lexical ontology for Kansei words called KanseiNet is constructed and proposes a spreading activation mechanism based on KanseiNet to complete the semantic expansion of Kansei words; (2) the second part describes how, using existing semantic techniques, relevant design website resources are crawled and analyzed, images' context descriptions and Kansei evaluations are extracted, and Kansei evaluation index of inspirational images is established. The KanseiNet for Chinese is first constructed, and the Sources of Inspiration Retrieval System for Emotional Design (SIRSED) is developed. An experiment comparing the existing image retrieval systems with SIRSED proved the latter to be a more comprehensive and accurate way for designers to access inspirational sources.

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A spreading activation algorithm of spatial big data retrieval based on the spatial ontology model

Cited by 12 publications

References 20 publications

Measuring the Similarity of Concept Maps According to Pedagogical Criteria

Measuring the Similarity of Concept Maps According to Pedagogical Criteria

Public opinion information dissemination in mobile social networks – taking Sina Weibo as an example

Retrieval of Semantic-Based Inspirational Sources for Emotional Design

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