Information seeking in a "socio-semantic web" application

Cahier, Jean-Pierre; Zaher, L’Hédi; Zacklad, Manuel

doi:10.1145/1324237.1324248

Cited by 8 publications

(5 citation statements)

References 7 publications

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“…Cahier et al describe in [40] (which is a shortened version of [41]) not a "Pragmatic Web", but a "Socio-Semantic Web". The authors claim that the use of formal semantics in the higher strata of the Web's semantic cake covers only a small part of the semiotic contents, especially when these depend on cultural factors and/or are subject to debate.…”

Section: Second International Pragmatic Web Conferencementioning

confidence: 99%

Beyond the Semantic Web: Towards an Implicit Pragmatic Web and a Web of Social Representations

Haralambous

Lenca

2023

Future Internet

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Motivated by the distinction between semantics and pragmatics as sub-disciplines of linguistics, shortly after Tim Berners-Lee introduced the Semantic Web in 2001, there have been works on its extension to the “pragmatic level”. Twenty years later, the Semantic Web is more popular than ever, while little has been achieved in extending it into a Pragmatic Web. Social representations introduced by Serge Moscovici in the 1960s seem totally ignored by the information technology community even though they are strongly related to research on opinion mining and representation in social media. We, thus, recall the major results of academic research on the Pragmatic Web, followed by our proposal for an Implicit Pragmatic Web inspired by various sub-domains of the discipline of pragmatics. We further recall the basics of the social representations theory and discuss their potential implementations in a Web of Social Representations and thus their potential contribution towards at least a part of the future internet.

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Section: Second International Pragmatic Web Conferencementioning

confidence: 99%

Beyond the Semantic Web: Towards an Implicit Pragmatic Web and a Web of Social Representations

Haralambous

Lenca

2023

Future Internet

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“…Viewing blog-based virtual community as a socio-semantic web in which the members co-produce visible symbolic artifacts, crowd-based knowledge collaboration can be investigated by observing these interconnected cognitive artifacts and configurations [59]. In addition, socio-semantic web highlights the human interaction underlying the creation of blog posts, as well as maintains a community in which participants collectively elicit and contribute knowledge to improve their collaborative work [60,75].…”

Section: Socio-semantic Network and Knowledge Sharingmentioning

confidence: 99%

Understanding Collective Reflection in Crowdsourcing for Innovation: A Semantic Network Approach

Sun

Majchrzak

Malhotra

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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Empowered by the wisdom of crowds, innovation nowadays is increasingly relying on diverse individuals' knowledge collaboration. Research on crowdsourcing and open innovation has demonstratedthat through deliberate understanding and reflective thinking, members of the online crowd collectively manage their knowledge to generate innovative ideas. However, the semantic patterns of how online crowd's collective reflection ultimately leads up to innovation remains unclear. Employing semantic network approach, this study analyzed a total of 1,116 posts contributed by online crowds responding to two organization-sponsored crowdsourcing open innovation challenges. Findings show that the semantic patterns of online crowds' knowledge collaboration evolve from one phase to another in accordance with crowd members' collective reflection on their diverse knowledge. Theoretical and practical implications are discussed.

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“…Tags reveal the Web 2.0 concept and provide information classifications made by users. They are more and more frequently applied in knowledge organization systems owing to the good adaption of the Social Semantic Web [20], for example, tag clouds [21]. A huge number of tags will be associated within one knowledge organization system when large numbers of users participate and when a wide range of topics is involved.…”

Section: Semantic Structure Of Tagsmentioning

confidence: 99%

Graphically structured icons for knowledge tagging

Cahier

2014

Journal of Information Science

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Knowledge organization systems need tags to centralize and provide the keywords that can be employed in classifying, sharing and seeking knowledge for personal or organizational use. However, the increased variety of vocabularies and languages causes the connections between textual tags and the documents marked by them to become less and less distinctive. The purpose of this paper is to present an exploratory study on new type of knowledge tags: structured iconic tags. This kind of tag is created based on the special graphical rule -Visual Distinctive Language (VDL) -and has particular focus on the representation of tag structure. A 'tagging on paper' experiment was conducted to compare tagging results among three types of tags: textual tags, iconic tags without explicit structure and VDL-based iconic tags. Experimental results demonstrated that the new type of iconic tags improves the representation of tag structure as well as the interpretation of tag meaning. This work is one of the first to investigate how icons would be applied for tagging and what kind of graphical code would better represent knowledge organization. Findings in this paper could enrich the tagging method, which in turn provides a possible way to develop a visual knowledge organization system and iconic tag clouds for digital library.

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Information seeking in a "socio-semantic web" application

Cited by 8 publications

References 7 publications

Beyond the Semantic Web: Towards an Implicit Pragmatic Web and a Web of Social Representations

Beyond the Semantic Web: Towards an Implicit Pragmatic Web and a Web of Social Representations

Understanding Collective Reflection in Crowdsourcing for Innovation: A Semantic Network Approach

Graphically structured icons for knowledge tagging

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