@inproceedings{demidova2015entitycentric, abstract = {Linked Open Data (LOD) plays an increasingly important role in the area of digital libraries and archives. It enables better semantic-based access methods and also gives the human reader more insights into linked entities. Since semantics is evolving over time, the temporal dimension has an increasing impact on the applicability of LOD to long-term archives. LOD does not necessarily provide a history. Therefore it is not possible to go back in time and access the document related LOD content at the time of the document creation. In this paper we propose to collect LOD information along with the Web content for Web archives to also ensure a good semantic coverage of aWeb crawl.We discuss use cases and requirements and derive the general approach and related data models for the implementation.}, added-at = {2015-12-17T17:49:12.000+0100}, author = {Demidova, Elena and Risse, Thomas and Tran, Giang Binh}, biburl = {https://www.bibsonomy.org/bibtex/251c2ad7fb98e8a24bc5ac45786a51bb9/trisse69}, booktitle = {Proc.of 5th International Workshop on Semantic Digital Archives (SDA 2015)}, interhash = {360b0ce56be5be3f9ac9e1844d1b28cf}, intrahash = {51c2ad7fb98e8a24bc5ac45786a51bb9}, keywords = {alexandria linkeddata models myown preservation requirements}, number = 1529, pages = {61 - 75}, publisher = {ceur-ws.org}, timestamp = {2015-12-17T17:53:35.000+0100}, title = {Entity-Centric Preservation for Linked Open Data: Use Cases, Requirements and Models}, url = {http://ceur-ws.org/Vol-1529/}, year = 2015 }