Tools for knowledge acquisition within the NeuroScholar system and their application to anatomical tract-tracing data
نویسندگان
چکیده
BACKGROUND Knowledge bases that summarize the published literature provide useful online references for specific areas of systems-level biology that are not otherwise supported by large-scale databases. In the field of neuroanatomy, groups of small focused teams have constructed medium size knowledge bases to summarize the literature describing tract-tracing experiments in several species. Despite years of collation and curation, these databases only provide partial coverage of the available published literature. Given that the scientists reading these papers must all generate the interpretations that would normally be entered into such a system, we attempt here to provide general-purpose annotation tools to make it easy for members of the community to contribute to the task of data collation. RESULTS In this paper, we describe an open-source, freely available knowledge management system called 'NeuroScholar' that allows straightforward structured markup of the PDF files according to a well-designed schema to capture the essential details of this class of experiment. Although, the example worked through in this paper is quite specific to neuroanatomical connectivity, the design is freely extensible and could conceivably be used to construct local knowledge bases for other experiment types. Knowledge representations of the experiment are also directly linked to the contributing textual fragments from the original research article. Through the use of this system, not only could members of the community contribute to the collation task, but input data can be gathered for automated approaches to permit knowledge acquisition through the use of Natural Language Processing (NLP). CONCLUSION We present a functional, working tool to permit users to populate knowledge bases for neuroanatomical connectivity data from the literature through the use of structured questionnaires. This system is open-source, fully functional and available for download from [1].
منابع مشابه
بررسی تاثیر اجرای نظام پیشنهادها بر یادگیری سازمانی
The purpose of this paper is to study of the casual effect of implementing sug-gestions system on three major aspects of organizational learning known as knowledge acquisition, knowledge distribution and knowledge utilization. Since organizational learning is becoming more important in the world of knowledge-based businesses, managers are more interested to know which management systems & proce...
متن کاملDesigning the infrastructure model required for the implementation of knowledge management system in the international marketing sector of the oil industry
The purpose of this study is to design the infrastructure model required for the implementation of knowledge management system in the international marketing of the oil industry. Since in applied research, the main goal is not only scientific discovery, but also to test and study the application of knowledge, so the method of this research is applied in terms of purpose and has been done by exp...
متن کاملKnowledge Synthesis with Maps of Neural Connectivity
This paper describes software for neuroanatomical knowledge synthesis based on neural connectivity data. This software supports a mature methodology developed since the early 1990s. Over this time, the Swanson laboratory at USC has generated an account of the neural connectivity of the sub-structures of the hypothalamus, amygdala, septum, hippocampus, and bed nucleus of the stria terminalis. Th...
متن کاملEvaluation Knowledge Management Processes and Identifying the Effective Factor for their Improvement: Iranian Police Case Study
This study aims to evaluation of knowledge management processes including knowledge generation & acquisition, saving & organizing, dissemination & sharing and application in the public sector especially in police through a case study based investigation and identifies factors affecting for improvement them. The evaluation was examined through 423 questionnaires provided by in different police u...
متن کاملAdaptive Information Extraction for Complex Biomedical Tasks
Biomedical information extraction tasks are often more complex and contain uncertainty at each step during problem solving processes. We present an adaptive information extraction framework and demonstrate how to explore uncertainty using feedback integration. 1 Adaptive Information Extraction Biomedical information extraction (IE) tasks are often more complex and contain uncertainty at each st...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Journal of Biomedical Discovery and Collaboration
دوره 1 شماره
صفحات -
تاریخ انتشار 2006