Model-Based Knowledge Searching

Maxim Bragilovski, Yifat Makias, Moran Shamshila, Roni Stern, Arnon Sturm

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationConceptual Modeling - 40th International Conference, ER 2021, Proceedings
EditorsAditya Ghose, Jennifer Horkoff, Vítor E. Silva Souza, Jeffrey Parsons, Joerg Evermann
PublisherSpringer Science and Business Media Deutschland GmbH
Pages242-256
Number of pages15
ISBN (Print)9783030890216
DOIs
StatePublished - 1 Jan 2021
Event40th International Conference on Conceptual Modeling, ER 2021 - Virtual, Online
Duration: 18 Oct 202121 Oct 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13011 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference40th International Conference on Conceptual Modeling, ER 2021
CityVirtual, Online
Period18/10/2121/10/21

Keywords

  • Conceptual modeling
  • Matching
  • Searching

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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