1. An Overview of Literature Management Systems Qiaozhu Mei April 12, 2007

2. Example Systems Digital Libraries: –ACM Digital LibraryACM Digital Library –CiteSeerCiteSeer –JSTORJSTOR –PubMedPubMed Domain-specific Search Engines: –Google Scholar; Live academic search;Google ScholarLive academic search –Libra; Rexa; SCOPUS;LibraRexaSCOPUS –DBLP; Bibliography SearchDBLP Integrated Systems: –DBLife, bibSonomy, BeeSpace?DBLifebibSonomy

3. Outline Characteristics –What’s unique with scientific literature? Functionalities –Possible utilities based on the characteristics Prototypes –http://en.wikipedia.org/wiki/List_of_academic_databas es_and_search_engineshttp://en.wikipedia.org/wiki/List_of_academic_databas es_and_search_engines

4. Scientific Literature: What’s Unique? Structured content: –Title, author, abstract, conclusion, reference,.. A latent network structure: –Reference; citations; co-authorship Contexts: –Time, conference/area, authorship,... –Citation context What about the content & language? –Topic dense? Terminology rich? Definitive language? –Controlled vocabulary? Low noise?

5. Managing Literature: What can We Do? Structured content: –Full text search, structured search, citation search –Similarity search Latent Network structure: –Citation navigation, co-author navigation –Co-citation Analysis, etc –Community analysis Context: –Trend analysis, author comparison, interdisciplinary research identification, … Language: –Topic extraction & categorization, filtering, concept analysis, ontology, summarization, …

6. Existing Systems: What do They Provide? Systems/ Function ENEN CSCS BCBC CNCN ANAN FTFT TATAC TCTCS BibBib ACM DL1XXXXXX CiteSeer1XXXXXX Google Sch.1XXX Live Acade.1XX DBLP2XXX Libra2XXXX Rexa2XXXXXX DBLife2XXXX bibSonomy1XXX SCOPUS 1XXX EN: Entity object 1: Paper 2: Author & Paper CS: content search BC: browsing by context CN: citation navigation AN: author/co-author navigation FT: full text download TA: tagging & annotation CC: citation context TC: topic catergorization SS: Similarity Search Bib: BibTex

7. Example Systems CiteSeer, Libra, Rexa, SCOPUS, DBLife Who did it? What’s their unique feature? What’s not covered?

8. CiteSeer Penn State Similarity Search Citation Context (partially) Citation Trend Statistics

9. CiteSeer: Similarity Search Content similarity Sentence- level similarity Co-citation similarity

10. CiteSeer: Citation Context

11. CiteSeer: Citation Trend

12. Libra Zaiqing Nie, Microsoft Research Asia Community search (topic extraction?)

13. Libra: Community Search

14. Libra: Author and Community

15. Rexa UMass, Andrew McCallum Search for grants, Tagging Topic extraction & categorization

16. Rexa: Tags

17. Rexa: Topic Extraction & Categorization Topic Relation: Citing, cited, co- occurring Trends

18. SCOPUS Subject Area: not CS –Life/health/physics/social science Alerts (Simple Filtering) –Search (content) alerts –Document Citation alerts Citation trends

19. DBLife Anhai Doan, U of Wisc. Integrating heterogonous academic information Change monitoring Not much on literature Many prototype functionalities

20. DBLife: Integration

21. Discussion: What is not Covered? Features: –Citation Context Functionalities: –Filtering; Summarization Opportunities: –Comparison across contexts –In-depth community analysis –More useful classification –…–…

22. Thanks!