A paper, which will serve as a baseline on creating a bilingual knowledge taxonomy for the agriculture, aquatic, and natural resources (AANR) sector, was recently presented in an online conference.
Titled, "Building a Filipino-English bilingual knowledge taxonomy using clustering," the paper won as Best Paper at the 2020 Computing Society of the Philippines-Information and Computing Education Conference (CSP-ICE).
Presented by Ms. Rikki Lee Mendiola, Information Systems Analyst, the paper was based on the project, "Enhancing the Knowledge Management for Agriculture, Aquatic, and Natural Resources (KM4AANR) System," funded by the Philippine Council for Agriculture, Aquatic and Natural Resources Research and Development of the Department of Science and Technology (DOST-PCAARRD).
The paper was co-authored by Ms. Catherine Bucu-Flores of DOST-PCAARRD and Prof. Concepcion L. Khan of UPLB Institute of Computer Science, who is also the leader of the said project.
The paper serves as a baseline work on creating a bilingual knowledge taxonomy for AANR knowledge artifacts to improve the KM4AANR's search engine.
Knowledge taxonomy refers to the structure of available knowledge created for efficient storage, retrieval, and sharing across organizations. Using an English-Filipino or bilingual mode, the search engine will be able to process query in any of the two languages and come up with relevant results even if most of the content in the current database are in English.
The search engine is also part of a proposed knowledge sharing system for mainstreaming local AANR knowledge to the R&D community and the general public.
The video of the conference presentation can be accessed here: http://bit.ly/PCAARRDKM.
The CSC-ICE 2020 online conference was held during the three Fridays of October 2020.
For AANR-related presentations and other information, check the conference program through this link: http://bit.ly/CSC-ICE.