- AKA: Citation Database.
- It can contain an Author Database (with author records).
- It can contain a Publication Venue Database (with publication venue records).
- It can include a Citation Index.
- It can be populated by a Citation Extraction Task.
- It can be updated by a Citation Management System.
- It can be represented as a Bibliographic Network.
- See: Bibliography, ArnetMiner Service.
- (Wikipedia, 2011) http://en.wikipedia.org/wiki/Bibliographic_database
- A bibliographic database is a database of bibliographic records, an organized digital collection of references to published literature, including journal and newspaper articles, conference proceedings, reports, government and legal publications, patents, books, etc. In contrast to library catalogue entries, a large proportion of the bibliographic records in bibliographic databases describe analytics (articles, conference papers, etc.) rather than complete monographs, and they generally contain very rich subject descriptions in the form of keywords, subject classification terms, or abstracts.
- Bibliographic Database: an electronic version of a catalog or index. A bibliographic database allows the user to identify publications by author, subject, title, or other search terms. It generally provides at least a full citation to the item, and often other information such as abstracts and assigned subject headings.
- (Sarawagi, 2008) ⇒ Sunita Sarawagi. (2008). “Information Extraction.” In: Foundations and Trends in Databases, 1(3). doi:10.1561/1900000003
- QUOTE: Many citation databases on the web have been created through elaborate structure extraction steps from sources ranging from conference web sites to individual home pages. Popular amongst these are Citeseer , Google Scholar (http://scholar.google.com) and Cora . The creation of such databases requires structure extraction at many different levels starting from navigating web sites for locating pages containing publication records, extracting individual publication records from a HTML page, extracting title, authors, and references from paper PDFs, and segmenting citation strings into individual authors, title, venue, and year fields. The resulting structured database provides significant value added in terms of allowing forward references, and aggregate statistics such as author-level citation counts.
- (Cameron, 1997) ⇒ Robert D. Cameron. (1997). “A Universal Citation Database as a Catalyst for Reform in Scholarly Communication.” In: First Monday 2,4.