@inproceedings{49957b075fad43d9b14d765765ee2537,
title = "Model-Based Knowledge Searching",
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.",
keywords = "Conceptual modeling, Matching, Searching",
author = "Maxim Bragilovski and Yifat Makias and Moran Shamshila and Roni Stern and Arnon Sturm",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 40th International Conference on Conceptual Modeling, ER 2021 ; Conference date: 18-10-2021 Through 21-10-2021",
year = "2021",
month = oct,
day = "16",
doi = "10.1007/978-3-030-89022-3_20",
language = "American English",
isbn = "9783030890216",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "242--256",
editor = "Aditya Ghose and Jennifer Horkoff and {Silva Souza}, {V{\'i}tor E.} and Jeffrey Parsons and Joerg Evermann",
booktitle = "Conceptual Modeling - 40th International Conference, ER 2021, Proceedings",
address = "Germany",
}