English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  PARMA. A full text search based method for matching non-patent literature citations with scientific reference databases. A pilot study.

Knaus, J., & Palzenberger, M. (2018). PARMA. A full text search based method for matching non-patent literature citations with scientific reference databases. A pilot study. doi:10.17617/2.2540157.

Item is

Basic

show hide
Genre: Paper
Subtitle : Technical Report by the Max Planck Digital Library, Big Data Analytics Group

Files

show Files
hide Files
:
mpdl_rio_parma_techrep_201802.pdf (Any fulltext), 2MB
Name:
mpdl_rio_parma_techrep_201802.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
:
mpdl_rio_parma_techrep_201802_supp01.xlsx (Supplementary material), 36KB
Name:
mpdl_rio_parma_techrep_201802_supp01.xlsx
Description:
Excel document containing raw data and example regular expressions
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
:
mpdl_rio_parma_techrep_201802_supp02.txt (Supplementary material), 762KB
Name:
mpdl_rio_parma_techrep_201802_supp02.txt
Description:
CSV file with quality assurance data
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
text/plain / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
:
mpdl_rio_parma_techrep_201802_supp03.xml (Supplementary material), 2KB
Name:
mpdl_rio_parma_techrep_201802_supp03.xml
Description:
XML file containing Solr indexing snippet
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/xml / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
:
mpdl_rio_parma_techrep_201802_supp04.xml (Supplementary material), 2KB
Name:
mpdl_rio_parma_techrep_201802_supp04.xml
Description:
XML file containing Solr configuration snippet
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/xml / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show

Creators

show
hide
 Creators:
Knaus, Johannes1, Author           
Palzenberger, Margit1, Author           
Affiliations:
1Big Data Analytics Group, Max Planck Digital Library, Max Planck Society, ou_2149673              

Content

show
hide
Free keywords: Patent Analysis, Relational Databases, Search Engines, Information Retrieval
 Abstract: Patent databases contain large amounts of (almost) unstructured references to non-patent literature (NPL). To identify these references is a general research request, as they are an important indicator for determining and quantifying various relationships between science and industry. In the present pilot study, we introduce a Patent reference matching method (PARMA) that is able to process a wide range of patent records by using a combination of full text search technology with filtering and matching routines in an RDBMS. Results show that the approach establishes a solid foundation for future analytic studies on the topic.

Details

show
hide
Language(s): eng - English
 Dates: 2018-02-26
 Publication Status: Published online
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.17617/2.2540157
 Degree: -

Event

show

Legal Case

show

Project information

show

Source

show