Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract—As part of a large-scale biocuration project, are developing innovative techniques to process thebiomedical literature and extract information relevant to speciﬁcbiological investigations. Biological experts routinely extract coreinformation from the scientiﬁc literature using a manual processknown as scientiﬁc curation. The aim of our activity is to improvethe efﬁciency of this process by leveraging upon natural languageprocessing technologies in a text mining system. There are twolines of investigation that  pursue: (1) ﬁnding informationrelevant for curation and present it in an adaptive interface, and(2) use sentence-similarity techniques to create interlinks acrossarticles in order to allow a process of knowledge discovery.Index Terms—Text mining, natural language processing,biocuration. I. I NTRODUCTION T HANKS to novel technological developments ingenomics and the emergence of multiple high-throughput(H-T) strategies,  live in a time when studies are producinga tsunami of data. With the next generation sequencingtechnology, the amount of genomic data is now growing fasterthan the computational por [1]. In spite of the large numberof databases and bioinformatics resources, a critical barrier inthe ﬁeld is how to accelerate access to and processing of suchlarge amounts of information and knowledge. H-T-generateddata produces large collections of individual, disconnectedelements. On the other hand, pregenomic scientiﬁc paperstend to discover several interrelated elements with experimentsthat support more integrated perspectives, but limited tospeciﬁc biological systems. The gathering in an organized andaccessible database of detailed, manually curated collections ofsuch ll-studied biological systems provides the frameworkfor an integrated understanding that is fundamental ingenomics research.RegulonDB [2] is a database, with manually curated knowl-edge, extracted from the literature, describing information
['Fabio Rinaldi', 'Oscar Lithgow-Serrano', 'Alejandra López-Fuentes', 'Socorro Gama-Castro', 'Yalbi Itzel Balderas-Martínez', 'Hilda Solano-Lira', 'Julio Collado-Vides']
I am writing a research paper on a idea An Approach towards Semi-automated Biomedical Literature Curation and Enrichment for a Major Biological Database
[{"from": "human", "value": "I am writing a research paper on a idea An Approach towards Semi-automated Biomedical Literature Curation and Enrichment for a Major Biological Database"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract\u2014As part of a large-scale biocuration project, are developing innovative techniques to process thebiomedical literature and extract information relevant to speci\ufb01cbiological investigations. Biological experts routinely extract coreinformation from the scienti\ufb01c literature using a manual processknown as scienti\ufb01c curation. The aim of our activity is to improvethe ef\ufb01ciency of this process by leveraging upon natural languageprocessing technologies in a text mining system. There are twolines of investigation that  pursue: (1) \ufb01nding informationrelevant for curation and present it in an adaptive interface, and(2) use sentence-similarity techniques to create interlinks acrossarticles in order to allow a process of knowledge discovery.Index Terms\u2014Text mining, natural language processing,biocuration. I. I NTRODUCTION T HANKS to novel technological developments ingenomics and the emergence of multiple high-throughput(H-T) strategies,  live in a time when studies are producinga tsunami of data. With the next generation sequencingtechnology, the amount of genomic data is now growing fasterthan the computational por [1]. In spite of the large numberof databases and bioinformatics resources, a critical barrier inthe \ufb01eld is how to accelerate access to and processing of suchlarge amounts of information and knowledge. H-T-generateddata produces large collections of individual, disconnectedelements. On the other hand, pregenomic scienti\ufb01c paperstend to discover several interrelated elements with experimentsthat support more integrated perspectives, but limited tospeci\ufb01c biological systems. The gathering in an organized andaccessible database of detailed, manually curated collections ofsuch ll-studied biological systems provides the frameworkfor an integrated understanding that is fundamental ingenomics research.RegulonDB [2] is a database, with manually curated knowl-edge, extracted from the literature, describing information"}]