{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T05:37:00Z","timestamp":1740807420161,"version":"3.38.0"},"reference-count":15,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2007,6,1]],"date-time":"2007-06-01T00:00:00Z","timestamp":1180656000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Information Science"],"published-print":{"date-parts":[[2007,6]]},"abstract":"<jats:p> Digital libraries offer diverse information resources in digital format. These resources may include any digital collection of books, journals, papers, proceedings and so on. The major challenge for the library is to provide access to all these resources in an integrated and user-friendly way. It is essential to provide an effective method for the users to enable them to make concept-based queries on these resources. In order to help the information users, we propose an index-based model, ATVLIB. This model has a search engine that uses data structures such as signature pattern, hash table and B+ trees. Extensive study shows that the proposed model has better performance than the existing method. <\/jats:p>","DOI":"10.1177\/0165551506070705","type":"journal-article","created":{"date-parts":[[2007,4,20]],"date-time":"2007-04-20T00:13:43Z","timestamp":1177028023000},"page":"263-274","source":"Crossref","is-referenced-by-count":1,"title":["An effective indexing model to manage versioned objects in a digital library"],"prefix":"10.1177","volume":"33","author":[{"given":"Gurusamy","family":"Arumugam","sequence":"first","affiliation":[{"name":"Department of Computer Science, Madurai Kamaraj University, Madurai, TN, India"}]},{"given":"Muthuraman","family":"Thangaraj","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Madurai Kamaraj University, Madurai, TN, India, ."}]}],"member":"179","published-online":{"date-parts":[[2007,6,1]]},"reference":[{"volume-title":"Proceedings of the International Conference on Digital Libraries, ICDL 2004","author":"S. 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Bober","year":"1997","journal-title":"IEEE Transactions on KDE"},{"volume-title":"Proceedings of the 25th International Conference on Very Large Databases, VLDB 1999","key":"atypb9"},{"volume-title":"Proceedings of the International Conference on Digital Libraries","author":"G. Arumugam","key":"atypb10"},{"key":"atypb11","doi-asserted-by":"crossref","unstructured":"R. Grishman, Information extraction: techniques and challenges. In: M.T. Pazienza (ed.), Information Extraction ( Springer, Rome, 1997) 10\u201427. [Lecture Notes in Artificial Intelligence, 1299]","DOI":"10.1007\/3-540-63438-X_2"},{"volume-title":"Proceedings of the 5th International Conference on Research and Advanced Technology for Digital Libraries","author":"M.A. Gon\u00e7alves","key":"atypb12"},{"volume-title":"Proceedings of the 27th International Conference on Very Large Databases, VLDB 2001","author":"S.Y. Chien","key":"atypb13"},{"volume-title":"Proceedings of the International Conference on Robotics Vision and Parallel Processing Automation (ROVIPIA)","author":"M. Thangaraj","key":"atypb14"},{"volume-title":"Proceedings of Advances in Databases and information systems, ADBIS 1999","author":"K. 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