%0 Conference Paper %1 L3S_c97953ba53a48eeecaf304caaf3d4a9764f448e4 %A Risse, Thomas %A Dietze, Stefan %A Maynard, Diana %A Tahmasebi, Nina %A Peters, Wim %B Proc. of the Workhop on Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2011), in conjunction with ISWC 2011, CEUR Workshop Proceedings Vol. 779 %D 2011 %K DERIVE2011 myown %T Using Events for Content Appraisal and Selection in Web Archives %X With the rapidly growing volume of resources on the Web, Web archiving becomes an important challenge. In addition, the notion of community memories extends traditional Web archives with related data from a variety of sources on the Social Web. Community memories take an entity-centric view to organise Web content according to the events and the entities related to them, such as persons, organisations and locations. To this end, the main challenge is to extract, detect and correlate events and related information from a vast number of heterogeneous Web resources where the nature and quality of the content may vary heavily. In this paper we present the approach of the ARCOMEM project which is based on an iterative cycle consisting of (1) targeted archiving/crawling of Web objects, (2) entity and event extraction and detection, and (3) refinement of crawling strategy.

@inproceedings{L3S_c97953ba53a48eeecaf304caaf3d4a9764f448e4, abstract = {With the rapidly growing volume of resources on the Web, Web archiving becomes an important challenge. In addition, the notion of community memories extends traditional Web archives with related data from a variety of sources on the Social Web. Community memories take an entity-centric view to organise Web content according to the events and the entities related to them, such as persons, organisations and locations. To this end, the main challenge is to extract, detect and correlate events and related information from a vast number of heterogeneous Web resources where the nature and quality of the content may vary heavily. In this paper we present the approach of the ARCOMEM project which is based on an iterative cycle consisting of (1) targeted archiving/crawling of Web objects, (2) entity and event extraction and detection, and (3) refinement of crawling strategy.}, added-at = {2013-05-30T15:43:51.000+0200}, author = {Risse, Thomas and Dietze, Stefan and Maynard, Diana and Tahmasebi, Nina and Peters, Wim}, biburl = {https://www.bibsonomy.org/bibtex/2a39a821dea81c351337f2b7041cc8a44/tahmasebi}, booktitle = {Proc. of the Workhop on Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2011), in conjunction with ISWC 2011, CEUR Workshop Proceedings Vol. 779}, interhash = {990ba75e893772ee78d32d543d9e0ed3}, intrahash = {a39a821dea81c351337f2b7041cc8a44}, keywords = {DERIVE2011 myown}, timestamp = {2013-05-30T17:38:11.000+0200}, title = {Using Events for Content Appraisal and Selection in Web Archives}, year = 2011 }