Integration and warehousing of social metadata for search and assessment of scientific knowledge

Daniil Mirylenka, Fabio Casati, Maurizio Marchese

Research output: Chapter in Book/Report/Conference proceedingConference contribution


With the advancement of Web, novel types of scientific-related data and metadata are emerging from a growing number of various sources. Alongside traditional bibliographic data provided by digital libraries great amounts of social metadata (such as bookmarks, "reads", tags, comments and "likes") are created and accumulated by social networking services. We believe that these metadata can be fruitfully used for improving search and assessment of scientific knowledge. The individual sources of scientific metadata differ largely in their focus, functionality, data coverage and data quality, and are currently limited to their own databases and data types. We suggest that we can enhance the current individual services by integrating their data and metadata. In this paper we discuss the opportunities and challenges of such integration for the purpose of facilitating the discovery and evaluation of scientific knowledge, and present a framework for integration and warehousing of both bibliographic and social scientific metadata.

Original languageEnglish
Title of host publicationSocial Informatics - Third International Conference, SocInfo 2011, Proceedings
Number of pages9
Volume6984 LNCS
Publication statusPublished - 2011
Externally publishedYes
Event3rd International Conference on Social Informatics, SocInfo 2011 - Singapore, Singapore
Duration: 6 Oct 20118 Oct 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6984 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference3rd International Conference on Social Informatics, SocInfo 2011

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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