Machine learning algorithms used in PSE environments: A didactic approach and critical perspective
LF Fuentes-Cortés, A Flores-Tlacuahuac… - Industrial & …, 2022 - ACS Publications
This work addresses recent developments for solving problems in process systems
engineering based on machine learning algorithms. A general description of most popular …
engineering based on machine learning algorithms. A general description of most popular …
Improving integrative searching of systems chemical biology data using semantic annotation
Background Systems chemical biology and chemogenomics are considered critical,
integrative disciplines in modern biomedical research, but require data mining of large …
integrative disciplines in modern biomedical research, but require data mining of large …
[HTML][HTML] LOD cloud mining for prognosis model (Case study: Native app for drug recommender system)
The goal of this project is to use the Semantic Web Technologies and Data Mining for
disease diagnosis to assist health care professionals regarding the possible medication and …
disease diagnosis to assist health care professionals regarding the possible medication and …
Open Data and the Status Quo--A Fine-Grained Evaluation Framework for Open Data Quality and an Analysis of Open Data Portals in Germany
This paper presents a framework for assessing data and metadata quality within Open Data
portals. Although a few benchmark frameworks already exist for this purpose, they are not …
portals. Although a few benchmark frameworks already exist for this purpose, they are not …
Shortipedia aggregating and curating Semantic Web data
Shortipedia is a Web-based knowledge repository, that pulls together a growing number of
sources in order to provide a comprehensive, diversified view on entities of interest …
sources in order to provide a comprehensive, diversified view on entities of interest …
Construction of coffee transcriptome networks based on gene annotation semantics
Gene annotation is a process that encompasses multiple approaches on the analysis of
nucleic acids or protein sequences in order to assign structural and functional characteristics …
nucleic acids or protein sequences in order to assign structural and functional characteristics …
Research on Minimizing Access to RDF Triple Store for Efficiency in Constructing Massive Bibliographic Linked Data
MH Lee, SP Choi - Journal of Korean Library and Information …, 2017 - koreascience.kr
In this paper, we propose an effective method to convert and construct the MEDLINE, the
world's largest biomedical bibliographic database, into linked data. To do this, we first derive …
world's largest biomedical bibliographic database, into linked data. To do this, we first derive …
극대용량서지링크드데이터구축의효율성을위한RDF 트리플저장소접근최소화에관한연구
이문호, 최성필 - 한국도서관· 정보학회지, 2017 - dbpia.co.kr
본 논문에서는 세계 최대 규모의 생의학 분야 서지 데이터베이스인 MEDLINE 전체를 링크드
데이터로 변환· 구축하는 효율적인 방안을 제시한다. 이를 위해서 우선 MEDLINE 레코드 …
데이터로 변환· 구축하는 효율적인 방안을 제시한다. 이를 위해서 우선 MEDLINE 레코드 …
Towards a linked open data model for coffee functional relationships
L Bertel-Paternina, LF Castillo, G Isaza… - … Biology: Proceedings of …, 2014 - Springer
The development of technologies for massively disclose genetic information stored within
cells generated the genomics revolution, where everyday exponentially growing databases …
cells generated the genomics revolution, where everyday exponentially growing databases …