Research Publication Search Task

A Research Publication Search Task is a literature search task that is restricted to research publications.

• AKA: Scientific Literature IR.
• Context:
  • It can be serviced by a Research Publication Search Service, such as Google Scholar Service.
  • It can be solved by a Scientific Literature IR System, that applies a scientific literature search algorithm.
  • It can create a Publication Referencer List (typically ranked by relevance).
• See: Information Retrieval Task, Library Search.

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References

2015

• (Sateli & Witte, 2015) ⇒ Bahar Sateli, and René Witte. (2015). “Semantic Representation of Scientific Literature: Bringing Claims, Contributions and Named Entities Onto the Linked Open Data Cloud.” In: PeerJ Computer Science, 1.
  • QUOTE: Finding relevant scientific literature is one of the essential tasks researchers are facing on a daily basis. Digital libraries and web information retrieval techniques provide rapid access to a vast amount of scientific literature. However, no further automated support is available that would enable fine-grained access to the knowledge ‘stored’ in these documents. The emerging domain of Semantic Publishing aims at making scientific knowledge accessible to both humans and machines, by adding semantic annotations to content, such as a publication’s contributions, methods, or application domains.

• (Wikipedia, 2015) ⇒ http://en.wikipedia.org/wiki/Astrophysics_Data_System Retrieved:2015-1-28.
  • … Literature searches that previously would have taken days or weeks can now be carried out in seconds via the ADS search engine, custom-built for astronomical needs. ...

2008

• (Morgan et al., 2008) ⇒ Alexander A. Morgan, Zhiyong Lu, Xinglong Wang, Aaron M. Cohen, Juliane Fluck, Patrick Ruch, Anna Divoli, Katrin Fundel, Robert Leaman, Jörg Hakenberg, Chengjie Sun, Heng-hui Liu, Rafael Torres, Michael Krauthammer, William W Lau, Hongfang Liu, Chun-Nan Hsu, Martijn Schuemie, K Bretonnel Cohen, and Lynette Hirschman. (2008). “Overview of BioCreative II gene normalization.” In: Genome Biology 2008, 9(Suppl 2):S3. doi:10.1186/gb-2008-9-s2-s3.
  • QUOTE: Despite these limitations, normalization technology is making rapid progress. It has the potential to provide improved annotation consistency for gene mention linkages to databases, more efficient updating of existing annotations, and, when applied across large collections, more focused gene-centric literature search.

2005

• (Podowski et al., 2005) ⇒ Raf M. Podowski, John G. Cleary, Nicholas T. Goncharoff, Gregory Amoutzias, and William S. Hayes. (2005). “Suregene, a scalable system for automated term disambiguation of gene and protein names.” In: Journal of Bioinformatics and Computational Biology, 3(3) PMID:16108092 doi:10.1142/S0219720005001223.
  • QUOTE: Researchers, hindered by a lack of standard gene and protein-naming conventions, endure long, sometimes fruitless, literature searches.

2004

• (Jönsson, 2004) ⇒ K. Ingemar Jönsson. (2004). “On the Disparate Terminological Use of the Concept Cryptobiosis.” In: Journal of Fish Diseases, 27(3). doi:10.1111/j.1365-2761.2004.00534.x
  • QUOTE: ... Apart from this general aspect, multiple definitions of a single term also give rise to practical problems, particularly in connection with literature search.

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