Type of Credit: Elective
Credit(s)
Number of Students
This course starts with an introduction to the fundamental concepts of knowledge management (KM) processes. A detailed introduction to ontology, reasoning, querying, and extraction will then be lectured, followed by a series of discussions on the BFO (Basic Formal Ontology) applications. Students are encouraged to discuss real company cases using KMST (knowledge management systems and technologies) during the class. Students are also expected to explore a knowledge domain deeper and demonstrate the KM processes in the final report.
能力項目說明
|
週次 Week |
課程主題 Topic |
課程內容與指定閱讀 Content and Reading Assignment |
教學活動與作業 Teaching Activities and Homework |
學習投入時間 Student workload expectation |
|
|
課堂講授 In-class Hours |
課程前後 Outside-of-class Hours |
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|
1 |
Introduction [KMSP] |
KM Processes (discovery, capture/collection, sharing, applications) |
Lecture and Ind. QA Random-Group Discussion |
3 |
3.5 |
|
2 |
Types of KMST (systems and technologies) |
3 |
3.5 |
||
|
3 |
Knowledge Graphs [SMD, |
Ontology and Taxonomy (NO CLASS for 0228 Peace Memorial Day) |
Lecture and Formal Group Discussion |
3 |
4 |
|
4 |
Representation and Reasoning |
3 |
4 |
||
|
5 |
Querying 1/2 |
3 |
4.5 |
||
|
6 |
Querying 2/2 |
3 |
4.5 |
||
|
7 |
Abstraction vs. Extraction |
3 |
4 |
||
|
8 |
KMST Cases (NO CLASS for 0404 Children's Day) |
3 |
4 |
||
|
9 |
Ind./Group Midterm Presentation |
3 |
5 |
||
|
10 |
KMST Applications [BFO, |
Aerospace |
Lecture, Ind. Hand-on Practices, and Formal Group Discussion |
3 |
3.5 |
|
11 |
Military |
3 |
4 |
||
|
12 |
Finance and economic |
3 |
4 |
||
|
13 |
Food and beverage |
3 |
4 |
||
|
14 |
Transportation |
3 |
4.5 |
||
|
15 |
Social Services … |
3 |
4.5 |
||
|
16 |
Pharmaceutical (or Medicine) |
3 |
4.5 |
||
|
17 |
Others (see below a list of industries) |
3 |
5 |
||
|
18 |
Ind./Group Final-term Presentation |
3 |
3.5 |
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Other KMST Applications in Different Industries: Agriculture, Advertising and marketing, Computer and technology (Geography, Security in IT), Construction, Education, Energy, Entertainment, Fashion, Healthcare, Hospitality, Manufacturing, Media and news, Mining, and Telecommunication.
10% Class Participation
20% Midterm Ind./Group KM Topic Exploration
30% Ind. Hand-on practices and case study
40% Final term Ind./Group KMST Demonstration
[KMSP] Becerra-Fernandez, I., & Sabherwal, R. (2014). Knowledge management: Systems and processes. NY: Routledge. (Available online to read/download from NCCU Library)
[SMD] Alexopoulos, P. (2020). Semantic modeling for data: Avoiding pitfalls and breaking dilemmas (1st ed.). O'Reilly Media. (Only available in the Joint Library Humanities and Social Sciences, Academia Sinica; https://hslib.sinica.edu.tw/eng/frontpage)
[BFO] Arp, R., Smith, B., & Spear, A. D. (2015). Building ontologies with basic formal ontology. The MIT Press. https://academic.oup.com/mit-press-scholarship-online/book/29912 (Free to download on NCCU campus)
Other references: • [KE] Tecuci, G., Marcu, D., Boicu, M., & Schum, D. A. (2016). Knowledge engineering: Building cognitive assistants for evidence-based reasoning. Cambridge University Press. https://www.lib.nccu.edu.tw/p/404-1000-281.php?Lang=en (National Library Loan available to borrow for free from the National Tsing Hua University Library) • [KG] Fensel, D. more than five authors (2020). Knowledge graphs: Methodology, tools and selected use cases. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-030-37439-6 (Free to download on NCCU campus)