Social Web analysis and Web mining, which includes effective methods for the analysis of

Social Web content, analysis of community structures, discovery of evidence for content

appraisal, analysis of trust and provenance, and scalability of analysis methods.

Event detection and consolidation, which includes information extraction technologies for

detection of events and for detecting entities related to events; methods for consolidating

event, entity and topic information within and between archives, models for events, cover-

ing different levels of granularity, and their relations.

Perspective, Opinion and Sentiment detection, which includes scalable methods for de-

tecting and analysing opinions, perspectives taken, and sentiments expressed in the Web

and especially Social Web content.

Concise content purging, which includes detection of duplicates and near-duplicates and

an adequate reflection of content diversity with respect to textual content, images, and

opinions.

Intelligent adaptive decision support, which includes methods for combining and reasoning

about input from social Web analysis, diversity and coverage aspects, extracted informa-

tion, domain knowledge and heuristics, etc.; methods for adapting the decision strategies

to inputs received.

Advanced Web Crawling, which includes the integration of event-centred and entity-cen-

tred strategies, the use of social Web clues in crawling decisions and methods for trans-

lating by example and descriptive crawling specifications into crawling strategies.

Approaches for “semantic preservation”, which includes methods for enabling longterm

interpretability of the archive content; methods for preserving the original context of

perception and discourse in a semantic way; methods for dealing with evolution on the

semantic layer.

Project Coordinator: Dr. Wim Peters | University of Sheffield | Department of

Computer Science | E-mail: W.Peters@dcs.shef.ac.uk | Phone: +44 114 222 1902

ARCOMEM’s aim is to help transform archives into collective memories that are more tightly integrated with their community of users and exploit Social Web and the wisdom of crowds to make Web archiving a more selective and meaning-based process.

In order to reach its ambitious scientific and technological ob-jectives, advanced research is required in the ARCOMEM project. This includes research in the following areas >>>>>

Project Partners

www.arcomem.eu

MORE THAN AN ARCHIVESOCIAL WEB HISTORY

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