Interactive Knowledge Construction in the Collaborative Building of an Encyclopedia

Lemoisson, Philippe; Cerri, Stefano A.

doi:10.1080/08839510500234800

Cited by 8 publications

(4 citation statements)

References 20 publications

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“…To express the needs adequately, the following is a paragraph quoting remarks by Prof. Krief, founder of EnCOrE, which he made when addressing the E-LeGI consortium during its meeting in Brazil in 2004 [1,2] . The author highlights a few issues and phrases that he finds particularly valuable: "Currently, the information is only delivered flat according to a single point of view dictated by tradition of 'book organization' following the 'Johannes Gutenberg age' (ca.1400-1468).…”

Section: The Encore Project: Knowledge Construction and Use By Intera...mentioning

confidence: 99%

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Information, knowledge, and human learning for chemistry: the visionary contribution of Professor Alain Krief

Cerri¹

2023

Chem Synth

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This is not a paper about the current state of chemistry but rather the author’s perspective on a strategy for the future of chemistry and other scientific and technical disciplines. This future vision is based on synergies of natural sciences and technical disciplines on one side and the science of information, i.e., informatics, on the other. It relates the author’s interactions during 2003-2023 in professional collaborations with Alain Krief, now Emeritus Professor at the University of Namur. It is argued that the scientific value of Prof. Krief’s work - particularly related to his well-known interest in “chemical knowledge transfer” - extends beyond the scientific-technical domain of chemistry to include a much broader area of natural sciences and associated technologies. Prof. Krief’s signal contribution has resulted from his profound interest in information, knowledge, and human learning, which has been at the core of our exchanges during the last 20 years.

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Section: The Encore Project: Knowledge Construction and Use By Intera...mentioning

confidence: 99%

“…This reality was embedded in the construction of EnCOrE as an encyclopedia supporting information, knowledge, and human learning (Figure 3, from Ref. [1] ).…”

Section: Human Learning As a Side Effect Of Interactionsmentioning

confidence: 99%

Information, knowledge, and human learning for chemistry: the visionary contribution of Professor Alain Krief

Cerri¹

2023

Chem Synth

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“…Nowadays, it is at least naive to define specification in terms of the fixed settings, undeniably constant over time. On the contrary, many studies describe ontologies as dynamic networks of meaning [90,91,92].…”

Section: Knowledge Dynamicsmentioning

confidence: 99%

Dynamical Aspects of Knowledge Evolution

Owoc

Weichbroth

2019

IFIP Advances in Information and Communication Technology

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Undeniably, in this rapidly changing world some knowledge granules change over time. Tracking these changes seems to be one of the most crucial processes in knowledge management. Every potential change is a result of knowledge adoption and application to solve a given problem or task in particular domains. However, there is a lack of a model that provides an eventdriven framework, along with the core adoption process explicitly expressed with related factors, which together serve as an efficient tool to adopt and reuse knowledge on one hand, while on the other, to measure and evaluate the various aspects of knowledge quality and usefulness. This paper aims to fill this gap by introducing a knowledge adoption process and an ontology-aided encapsulation knowledge (OAKE) model. While the former breaks down the tacit adoption process into two explicit sub-processes and measurable factors, the latter exposes knowledge evolution over time by a sequence of recorded events.

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“…The phenomenon is even more accurate in multidisciplinary contexts. For example, when tight collaboration and mutual understanding is required between senior chemists and computer scientists building an electronic encyclopaedia (Krief et al 2008;Lemoisson & Cerri 2005). Cross connecting ontologies in order to obtain machine-readable data (the so called semantic Web) is a sticking point, due to the fact that each ontology's evolution is domain-dependent (Karapiperis & Apostolou 2006).…”

Section: Introductionmentioning

confidence: 99%

ViewpointS: capturing formal data and informal contributions into an adaptive knowledge graph

Lemoisson

Surroca

Jonquet

et al. 2018

IJKL

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Formal data is supported by means of specific languages from which the syntax and semantics have to be mastered, which represents an obstacle for collective intelligence. In contrast, informal knowledge relies on weak/ambiguous contributions e.g., I like. Reconciling the two forms of knowledge is a big challenge. We propose a brain-inspired knowledge representation approach called ViewpointS where formal data and informal contributions are merged into an adaptive knowledge graph which is then topologically, rather than logically, explored and assessed. We firstly illustrate within a mock-up simulation, where the hypothesis of knowledge emerging from preference dissemination is positively tested. Then we use a real-life web dataset (MovieLens) that mixes formal data about movies with user ratings. Our results show that ViewpointS is a relevant, generic and powerful innovative approach to capture and reconcile formal and informal knowledge and enable collective intelligence.

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Interactive Knowledge Construction in the Collaborative Building of an Encyclopedia

Cited by 8 publications

References 20 publications

Information, knowledge, and human learning for chemistry: the visionary contribution of Professor Alain Krief

Information, knowledge, and human learning for chemistry: the visionary contribution of Professor Alain Krief

Dynamical Aspects of Knowledge Evolution

ViewpointS: capturing formal data and informal contributions into an adaptive knowledge graph

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