Dynamic Knowledge Map: reusing experts' tacit knowledge in the AEC industry

Woo, Jeong‐Han; Clayton, Mark J.; Johnson, Robert E.; Flores, Benito E.; Ellis, Christopher D.

doi:10.1016/j.autcon.2003.09.003

Cited by 161 publications

(108 citation statements)

References 9 publications

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“…For instance, the precision and recall ability to automatic classify [Caldas et al 2002], and the different relationships of index point to establish among documents in order to link up the connections (Hajjar and AbouRizk 2000). Connecting knowledge flow among jobsite and company, that via established knowledge management, and Explaining framework and application of dynamic Knowledge Map through concept description (Woo et al 2004). Because the characteristic of different industry is very uniqueness, thus applying general knowledge map to construction industry is very difficult (Yin et al 2005) except for literatures of project-base and peoplebased knowledge map (Lin 2008).…”

Section: Knowledge Mapmentioning

confidence: 99%

“…Enhancing automatic classification algorithm (Caldas 2002) for numerical data and CAD files to extend document base. Developing multidimensional graphic user interface (Woo et al 2004) to improve display model. Developing evaluation method to compare with different knowledge maps.…”

Section: ‧ ‧ ‧mentioning

confidence: 99%

“…In construction industry, information technology can facilitate knowledge transferring and assist experts to search, communicate and increase job efficiency by sharing knowledge within organizations through implementation of Knowledge Map. Different from foregoing techniques, this research assumes that transferring tacit knowledge to explicit knowledge can be processed by using a Knowledge Map (Woo et al 2004). Furthermore, the application of a Knowledge Map on a construction project can improve on attaining, capturing, sharing and reusing knowledge .…”

Section: Introductionmentioning

confidence: 99%

“…The construction industry consists of many unstructured documents, which accumulate volumes of tacit engineering experiences and domain knowledge (Gabrielaitis and Baušys 2006;Lin 2008;Woo et al 2004). Tacit knowledge is difficult to express in formal language, therefore explicit knowledge is easy to codify and expressed in formal language (Tserng and Lin 2004).…”

Section: Introductionmentioning

confidence: 99%

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The Use of Knowledge Map Model in Construction Industry

Tserng

Yin

Lee

2010

Journal of Civil Engineering and Management

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Abstract.The construction industry consists of many unstructured documents, which accumulate a large volume of tacit knowledge. In the general domain, a Knowledge Map can illustrate connections of knowledge and transfer tacit knowledge to explicit knowledge, but this is unsuitable on specific domain such as construction industry. This research generalized existing mapping rules to be applied to general and specific domain; and presented a novel and practical model for building knowledge map, named Knowledge Map Model (KMM). This model comprised of five procedures, including identifying problems, discussing with experts and users, establishing the classification structure, establishing the document base, and deciding the display model. Furthermore, this research establishes Knowledge Map Model System (KMMS) as a major tool to improve the knowledge map reused and shared among the practical process. Finally, this research validated the KMM in a real project of bridge maintenance.

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Section: Knowledge Mapmentioning

confidence: 99%

Section: ‧ ‧ ‧mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Use of Knowledge Map Model in Construction Industry

Tserng

Yin

Lee

2010

Journal of Civil Engineering and Management

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“…owner's brain [11], [12]. Since explicit knowledge can be transformed into an electronic format more easily than implicit knowledge, it is often a core part in the implementation of knowledge management.…”

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confidence: 99%

An Approach to the Construction of Personalized Knowledge Map Based on Collaborative Tagging

Li¹,

Yuan²,

Xiong³

2015

IJKE

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Abstract-Knowledge is the strategic resource for the organization. Knowledge map is an important tool for knowledge sharing. Providing the personalized knowledge map based on the preference of users can ease the burden of learning the knowledge map and facilitate the finding of the required knowledge. The tagging to documents reflects the user's preference of classification. In the paper, the approach to the personalized knowledge map construction based on the collaborative tagging is proposed. Firstly, the weight of the tag in documents is identified. Secondly, the similarity of users on the preference of classification is defined and then users that have the similar classification preference are identified to expand the current user's preference of personalized classification. Then the text vector of document and text similarity is identified. Afterwards, the knowledge is clustered according to both the personalized classification similarity and text similarity. Finally, the topics of each cluster are identified. In the topic identification, both the weight of the term in the text and the weight of the term in the tags are integrated. The experiment shows that proposed method is feasible and performs well.Index Terms-Knowledge map, knowledge management systems, personalized knowledge map.

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International Construction Projects

Klee

2014

International Construction Contract Law

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Dynamic Knowledge Map: reusing experts' tacit knowledge in the AEC industry

Cited by 161 publications

References 9 publications

The Use of Knowledge Map Model in Construction Industry

The Use of Knowledge Map Model in Construction Industry

An Approach to the Construction of Personalized Knowledge Map Based on Collaborative Tagging

International Construction Projects

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