Those slides have been prepared by my students from the knowAAN project group at the University of Paderborn. In the project group we worked on the (semi-)automatic analysis of scientific papers in order to enhance awareness of researchers.

1. Project group knowAAN
Final presentation
Computer Science Education Group
University of Paderborn
October 20th 2011

2. Overview
Overview
Introduction
System components & Work flow
Demonstration
Development process
Summary & Outlook
Time for further questions of detail
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3. Overview
Overview: First part
Goals
Extraction & Storage (of data)
Exploration (of data)
System components & Work flow
Analysis & Visualization (of data)
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4. Goals
Goals
Explore research networks
Based on: Artifacts (scientific publications) and metadata
Combination and analysis of data
Computation of similarities of full texts
Support for conference management system Ginkgo
Data visualization
Recommendations
(Source: PG knowAAN project description)
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5. Goals
Imagine you are interested in a conference.
You downloaded the papers of 2 or 3 years.
Now you have nearly 100 publications.
How do you explore them?
100 publications. Do you know tools?
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6. Extraction & Storage
Extraction & Storage
First step: Extract data and store it.
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7. Extraction & Storage
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8. Exploration
Exploration
Second step: Explore data.
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9. Exploration
Exploring a conference
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10. Exploration
Exploration
Which extracted data is available for a publication?
→ Database schema
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11. discipline pub_dis pub_aff affiliation
id GUID publication_id GUID publication_id GUID id GUID
text VARCHAR(512) discipline_id GUID affiliation_id GUID text VARCHAR(512)
parent_id GUID Indexes Indexes location_id GUID
aut_aff
Indexes Indexes
author_id GUID
affiliation_id GUID
Indexes
pub_key publication
keyword publication_id GUID id GUID
id GUID keyword_id GUID lucuid VARCHAR(512)
text VARCHAR(512) score DOUBLE title VARCHAR(512) author
pub_aut
Indexes source VARCHAR(512) booktitle VARCHAR(512) id GUID
publication_id GUID
Indexes normtitle VARCHAR(512) text VARCHAR(512)
author_id GUID location
date VARCHAR(512) normtext VARCHAR(512)
Indexes id GUID
pub_con editor VARCHAR(512) firstname VARCHAR(512)
latitude DOUBLE
concept publication_id GUID journal VARCHAR(512) lastname VARCHAR(512)
longitude DOUBLE
id GUID concept_id GUID note VARCHAR(512) citation created BIGINT
text VARCHAR(512)
text VARCHAR(512) score DOUBLE pages VARCHAR(512) publication1_id GUID modified BIGINT
Indexes
Indexes source VARCHAR(512) publisher VARCHAR(512) Indexes
publication2_id GUID
Indexes tech VARCHAR(512) Indexes
volume VARCHAR(512)
pub_cat number VARCHAR(512)
aut_add
category publication_id GUID rawstring VARCHAR(4096) pub_add
author_id GUID
id GUID category_id GUID xmlfile VARCHAR(512) publication_id GUID
address_id GUID
text VARCHAR(512) score DOUBLE pdffile VARCHAR(512) address_id GUID
Indexes
Indexes source VARCHAR(512) topicfile VARCHAR(512) Indexes
Indexes created BIGINT
modified BIGINT
eventseries Indexes
address
id GUID
id GUID
text VARCHAR(512)
pub_evt text VARCHAR(512)
filepath VARCHAR(512)
publication_id GUID location_id GUID
Indexes
event event_id GUID Indexes
id GUID Indexes
text VARCHAR(512) category_count bib_coupling
evt_evs filepath VARCHAR(512)
event_id GUID predecessor_id GUID discipline_count concept_count co_author
eventseries_id GUID successor_id GUID
Indexes Indexes evt_pub_aut_count keyword_count co_citation

12. System components & Work flow
System components & Work flow
How is our system structured?
→ Some examples.
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13. System components & Work flow
Components
Model << component >>
<< component >>
Backend ParscitTrainer
<< component >>
<< component >>
Parscit
Clustering
WebServices << component >>
FrontendReferenceExtraction
<< component >> << component >>
DB TrendDetection
WebServices << component >>
DocBrowser
<< component >> << component >>
Roundtrip TF-Component
JDBC
<< component >> << component >> << component >>
PDFToText JDBC
TopicExtraction DataBase
<< component >> << component >> << component >>
WebServices
Recommendation xmlBuilder Solr
FileSystem << component >>
FileStorage
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14. DocumentBrowser: RoundTrip : RoundTripExecutor : PDFToText : Parscit: Languagedetection: Lemmatizer: NounExtraction: Solr: DB:
a / 1) .addPDF
a / 2) .writeToFS
a / 2) Path
a / 3) .createThread
.submitThread
a / 3)
a / 1)
b / 1) .run
b / 2) .getText
b / 2) Text
b / 3) .ParseFullText
b / 3) ParscitXML
b / 4) .extractBodyAndAstract
b / 4) BodyAndAbstract
b / 5) .getLanguage
b / 5) LanguageString
b / 6) .lemmatize
b / 6) LemmatizedText
b / 7) .extractNouns
b / 7) NounsList
b / 8) .lemmatizeNounslist
b / 8) LemmatizedNouns
b / 9) .ReduceToTopNouns
b / 9) TopNouns
b / 10) .writeToFiles
b / 10) Paths
b / 11) .addTexts
b / 11) Solrid
b / 12) .addPublication
b / 12)
b / 1)

15. System components & Work flow
Work flow
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16. Analysis & Visualization
Analysis & Visualization
Third step: Analyze and visualize data.
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17. Analysis & Visualization
Analysis of authors
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18. Analysis & Visualization
Analysis of scientific publications
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19. Demonstration
Demonstration
Now: Demo.
Image: http://www.flickr.com/photos/plaisanter/5525977163/
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20. Development process
Technologies
Jersey
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21. Development process
Methods of agile software development
FDD XP
Scrum
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22. Development process
Methods of agile software development
Weekly meetings
Sit together (as much as possible)
Automated building system
Continuous integration
Issue tracking
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23. Summary and Outlook
Summary and future work
Summary
Integrated processing of scientific papers
Aggregated visualization of authors, publications and
events
Compute various analysis over the data
Cleaning functionality for automated processed data
Future work
Parallelized Clustering
Additional graphical visualization
Improve extraction of metadata from PDF files
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24. Summary and Outlook
Thank you for your attention
Questions?
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