PDF Articles Metadata Harvester

Assoc. Prof. Leon Abdillah

PDF Articles Metadata Harvester

Leon Andretti Abdillah

Information Systems, Computer Science Faculty, Bina Darma University, Jl. A. Yani No.12, Palembang 30264, Indonesia

E-mail: leon dot abdillah at yahoo dotcom

Abstract

Scientific journals are very important in recording the finding from researchers around the world. The recent media to disseminate scientific journals is PDF. On scheme to find the scientific journals over the internet is via metadata. Metadata stores information about article summary. Embedding metadata into PDF of scientific article will grant the consistency of metadata readness. Harvesting the metadata from scientific journal is very interesting field at the moment. This paper will discuss about scientific journal metadata harvesters involving XMP.

Keywords: Scientific journal article, metadata, harvester, XMP.

 

Citation:

L. A. Abdillah, “PDF articles metadata harvester,” Jurnal Komputer dan Informatika (JKI), vol. 10, pp. 1-7, April 2012. 

 

Conclusions

Metadata are very useful to enrich the scientific journal article. Some elements of scientific journal such as author, title, and year. Metadata could stored in several file formats, such as; RIS; (2) Plain Text; (3) Enw; or (4) BibTex. Another scheme to store the metadata is using

XMP technology when the article is in PDF format. These information will be embedded in PDF article as hidden information or document properties. These hiden information consist of valuables information that summarize the contents of article. PDF format become standard for disseminate scientific finding.
 This harvester able to retrieve all of XMP fields from PDF files
 Author enriches this harvester with some useful additional fields beside XMP, such as recency
 The added recency field could be used to count the age of an article
 XMP technology of PDF become new standard to store the metadata information of ascientific article for the future
 At the moment not all articles published in PDF format are supplied by their author(s)/publisher with metadata in XMP. This is a challenge for next research.

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