[1] |
Lyman P, Varian H R. How much information 2003 [EB/OL]. (2003-10-27)[2016-10-05]. http://www2.sims.berkeley.edu/research/projects/how-much-info.
|
[2] |
Blanc-Brude T, Scapin D L. What do people recall about their documents: implications for desktop search tools[C]// Proceedings of the 12th International Conference on Intelligent User Interfaces, ACM. 2007: 102-111.
|
[3] |
Shah S, Soules C A N, Ganger G R, et al. Using provenance to aid in personal file search[C]// USENIX Annual Technical Conference. 2007: 171-184.
|
[4] |
Soules C A N, Ganger G R. Connections: using context to enhance file search[J]. ACM SIGOPS Operating Systems Review, 2005,39(5):119-132.
doi: 10.1145/1095809.1095822
|
[5] |
Stumpf S, Fitzhenry E, Dietterich T G. The use of provenance in information retrieval[C]// Workshop on Principles of Provenance. 2007: 20.
|
[6] |
Chau D H, Myers B, Faulring A. Feldspar: a system for finding information by association[C]// Proceedings of Personal Information Management. 2008: 131-138.
|
[7] |
戴超凡, 王涛, 张鹏程. 数据起源技术发展研究综述[J]. 计算机应用研究, 2010,27(9):3215-3221.
|
[8] |
Rinck M, Hinze A, Bainbridge D, et al. Document DNA: content centric provenance data tracking in documents[C]// Proceedings of the 37th Australasian Computer Science Conference. 2014: 57-66.
|
[9] |
Lu C T, Shukla M, Subramanya S H, et al. Performance evaluation of desktop search engines[C]// IEEE International Conference Information Reuse and Integration. 2007: 110-115.
|
[10] |
Jensen C, Lonsdale H, Wynn E, et al. The life and times of files and information: a study of desktop provenance[C]// Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM. 2010: 767-776.
|
[11] |
Muniswamy-Reddy K K, Holland D A, Braun U, et al. Provenance-aware storage systems[C]// USENIX Annual Technical Conference, General Track. 2006: 43-56.
|
[12] |
Dragunov A N, Dietterich T G, Johnsrude K, et al. TaskTracer: a desktop environment to support multi-tasking knowledge workers[C]// Proceedings of the 10th International Conference on Intelligent User Interfaces, ACM. 2005: 75-82.
|
[13] |
Yamamoto K, Kuriyama T, Shigemori H, et al. Provenance based retrieval: file retrieval system using history of moving and editing in user experience[C]// Computer Software and Applications Conference. 2011: 618-625.
|
[14] |
Ball R. Don't search, just show me what I did: visualizing provenance of documents and applications[J]. International Journal of Human-Computer Interaction, 2013,29(3):156-168.
doi: 10.1080/10447318.2012.701569
|
[15] |
Luc M, Paolo M. PROV-DM: the PROV data model [EB/OL]. [2016-10-05]. https://www.w3.org/TR/2013/REC-prov-dm-20130430/.
|
[16] |
Paul G, Luc M. PROV-overview: an overview of the PROV family of docu- ments [EB/OL]. [2016-10-05]. https://www.w3.org/TR/2013/NOTE-prov-overview-20130430/.
|
[17] |
Moreau L, Freire J, Futrelle J, et al. The open provenance model: an over- view[C]// International Provenance and Annotation Workshop. 2008: 323-326.
|
[18] |
倪静, 孟宪学. PROV数据溯源模型及Web应用[J]. 图书情报工作, 2014,58(3):13-19.
|
[19] |
Tom D N, James C, Paolo M, et al. Constraints of the PROV data model [EB/OL]. [2016-10-05]. https://www.w3.org/TR/2013/REC-prov-constraints-20130430/.
|
[20] |
Eric P, Andy S. SPARQL query language for RDF [EB/OL]. [2016-10-05]. https://www.w3.org/TR/rdf-sparql-query/.
|