学术文献库

In library and information science, document storage and user-specific document retrieval are the main aspects of digital library services. To preserve the cultural heritage, documents, and literature, we need a common platform where all types of documents are available in a specific format. Our proposed software tool, ADCT can handle a bulk amount of data and transforms different types of raw data into specified metadata information. It generalizes multiple forms of curation logic applied to the source data. As state of the art, many research activities is done in various university to manage their research data in digital library services. The author provides descriptive statistics of library and information service (LIS) activities for information storage and retrieval. The paper shows research on methodology, information gathering, and scientific communication done on library data as an activity of the LIS community. The analysis of LIS data and the change of interest in information storage and retrieval from classification and indexing to retrieval are much important. For Building these types of digitized educational services, automatic data curation is an important stepping stone. The paper shows that automation can complement expertise and knowledge. The author builds an automated data transformation and curation tool that assists users in the analysis of metadata information and effort towards conforming to generic standards using a catalog when a librarian wants to see the adjacent related metadata for an archival collection of congressional correspondence.