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- W3207579419 abstract "As knowledge increases tremendously each and every day, there is a need for means to manage and organize it, so as to utilize it when needed. For example, for finding solutions to technical/engineering problems. An alternative for achieving this goal is through knowledge mapping that aims at indexing the knowledge. Nevertheless, searching for knowledge in such maps is still a challenge. In this paper, we propose an algorithm for knowledge searching over maps created by ME-MAP, a mapping approach we developed. The algorithm is a greedy one that aims at maximizing the similarity between a query and existing knowledge encapsulated in ME-maps. We evaluate the efficiency of the algorithm in comparison to an expert judgment. The evaluation indicates that the algorithm achieved high performance within a bounded time. Though additional examination is required, the sought algorithm can be easily adapted to other modeling languages for searching models." @default.
- W3207579419 created "2021-10-25" @default.
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- W3207579419 date "2021-01-01" @default.
- W3207579419 modified "2023-09-23" @default.
- W3207579419 title "Model-Based Knowledge Searching" @default.
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- W3207579419 doi "https://doi.org/10.1007/978-3-030-89022-3_20" @default.
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