An Architecture for Automatic Reference Linking

Bergmark, Donna; Lagoze, Carl

doi:10.1007/3-540-44796-2_11

Cited by 15 publications

(11 citation statements)

References 12 publications

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“…This paper has explicitly proposed the integrated framework for retrieving and representation of online documents and listed the issues involved. The system can also be extended for making citation counts [2]. It enhances the literature survey of a budding researcher by providing easy access for logically related articles with lesser number of clicks by drastically reducing the time involved in accessing the origin of the documents.…”

Section: Resultsmentioning

confidence: 99%

Design and Implementation of an Online Reference Tracking System

Suryanarayanan

Sendhilkumar

2007

2006 1st International Conference on Digital Information Management

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The World Wide Web has become a repository of up-to-date information for scientific scholars and researchers. Large number of closely relevant publications makes it desirable to cite them out for necessary references. Integration of bibliographical information of various publications available on net is an important task for researchers for which, the extraction of accurate metadata reference is essential. This paper involves aggregating and synthesizing content from various references on the Web for a given publication, thereby introducing greater efficiency and granularity to the task of finding publication information. It also involves tracking up the references required for the understanding of the journal, stores them in the databases and projects the user information as per the users need. With the help of specific attribute, which includes the author, title, year of publication and the like, other similar papers can also be tracked.

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Section: Resultsmentioning

confidence: 99%

Design and Implementation of an Online Reference Tracking System

Suryanarayanan

Sendhilkumar

2007

2006 1st International Conference on Digital Information Management

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“…We already have software to do this for HTML documents [4], but papers from ACM journals, proceedings, and magazines are in PDF format.…”

Section: Methodsmentioning

confidence: 99%

“…The resulting HTML file is handed to our Reference Linking API [4], which then attempts to extract reference linking information. The remainder of this paper first outlines some specific techniques used in our reference data extraction software and then presents our data on how well the approach worked with ACM's source.…”

Section: Parsingmentioning

confidence: 99%

“…Should Be Scanned As [1]- [4] [l]-[4] [8] [s] [10] [lo] [11] [ll] [12] 121 [13] 113 [6] 161 [13] [ZO] [5] (51 [5] [S] [22] $221 [5] (51 [16] 1161 [5] (51) [7] 171 The examined paper contained 29 contexts and 22 references. It appears that flate-compressed streams deal with bit-mapped images, and deflation attempts to convert bit-mapped characters into their ASCII equivalent.…”

Section: What the Reference What The Reference Wasmentioning

confidence: 99%

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Scraping the ACM Digital Library

2001

Self Cite

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“…News stories seldom make citations and current academic practice relegates much bibliography to a separate section, but older works often mix citations with narrative. In general, accurately identifying bibliographic references has been an active area of research with varying success [1]; nevertheless, as McKay and Cunningham point out [13], identifying bibliographic dates is easier than identifying (and linking) entire citations. Distinctions between the document creator's context and the context of the subject are not limited to date information.…”

Section: Domain Dependenciesmentioning

confidence: 99%

Detecting and Browsing Events in Unstructured text

Smith

2002

Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

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Previews and overviews of large, heterogeneous information resources help users comprehend the scope of collections and focus on particular subsets of interest. For narrative documents, questions of "what happened? where? and when?" are natural points of entry. Building on our earlier work at the Perseus Project with detecting terms, place names, and dates, we have exploited co-occurrences of dates and place names to detect and describe likely events in document collections. We compare statistical measures for determining the relative significance of various events. We have built interfaces that help users preview likely regions of interest for a given range of space and time by plotting the distribution and relevance of various collocations. Users can also control the amount of collocation information in each view. Once particular collocations are selected, the system can identify key phrases associated with each possible event to organize browsing of the documents themselves.

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An Architecture for Automatic Reference Linking

Cited by 15 publications

References 12 publications

Design and Implementation of an Online Reference Tracking System

Design and Implementation of an Online Reference Tracking System

Scraping the ACM Digital Library

Detecting and Browsing Events in Unstructured text

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