Evaluation Report

1. Devare, M., et al., VIVO. D-Lib Magazine, 2007. 13(7/8).http://www.dlib.org/dlib/july07/devare/07devare.html
2. Columbia University People At Columbia (PAC) website. Available from: http://www.columbia.edu/cu/pac/.
3. Columbia University Courseworks Website. Available from: https://courseworks.columbia.edu/.
4. About VIVO: Cornell Research & Scholarship. Available from: http://vivo.cornell.edu/about.
5. About :: BibApp. Available from: http://bibapp.org/about/.
6. Gruber, T.R., A translation approach to portable ontology specifications. Knowledge acquisition, 1993. 5: p. 199-199
7. Sicilia, M.A. and M.D. Lytras, Metadata and semantics. 2008: Springer-Verlag New York Inc.
8. Triples and graph. Available from: http://www710.univ-lyon1.fr/~champin/rdf-tutorial/node4.html.
9. Team, V.P. A Close Look into VIVO. 2010 May 6; Available from: https://confluence.cornell.edu/download/attachments/118475794/VIVO_national_blue_050510.pptx?version=1.
10. Hausenblas, M., Linked Data Applications. First Community Draft, DERI, 2009
11. Coyle, K., Library Data in a Modern Context. Library Technology Reports, 2010. 46(1): p. 5-5
12. Coyle, K., Meaning, Technology, and the Semantic Web. The Journal of Academic Librarianship, 2008. 34(3): p. 263-264.http://www.sciencedirect.com/science/article/B6W50-4SBHF0F-2/2/b80dc588ae5081021412cffcb1b43ab8
13. Coyle, K., Changing the Nature of Library Data. Library Technology Reports, 2010. 46(1): p. 14-14
14. Hillmann, D., et al., RDA Vocabularies. D-Lib Magazine, 2010. 16(1/2).http://www.dlib.org/dlib/january10/hillmann/01hillmann.html
15. Can New XML Technologies and the Semantic Web Deliver on Their Promises? « The Scholarly Kitchen %U http://scholarlykitchen.sspnet.org/2010/05/10/can-new-xml-technologies-and-the-semantic-web-deliver-on-their-promises,
16. Zhao, J., et al., The implications of Semantic Web technologies for support of the e-Science process.
17. Lopez, V., et al., AquaLog: An ontology-driven question answering system for organizational semantic intranets. Web Semant., 2007. 5(2): p. 72-105.http://portal.acm.org/citation.cfm?id=1265608.1265747&coll=GUIDE&dl=GUIDE&CFID=94450842&CFTOKEN=42525121
18. Garcia-Castro, A., et al., Semantic Web and Social Web heading towards Living Documents in the Life Sciences. Web Semantics: Science, Services and Agents on the World Wide Web, 2010. In Press, Corrected Proof.http://www.sciencedirect.com/science/article/B758F-4YRXD5B-2/2/4cb95e52479feaa463752e614288fefb
19. Jepsen, T.C. Just What Is an Ontology, Anyway? IT Professional. 2009. 22-27 http://www.computer.org/portal/web/computingnow/1009/whatsnew/itpro
20. Tutorial on Semantic Web. Available from: http://www.w3.org/People/Ivan/CorePresentations/SWTutorial/.
21. Cornell University Dean B. Krafft: Presenter. Co-Authors: Nicholas A. Cappadona, B.C., Jon Corson-Rikert, Medha Devare, Brian J. Lowe, and the VIVO Collaboration, VIVO: Enabling National Networking of Scientists. 2010.https://confluence.cornell.edu/download/attachments/115560622/WebSci10+VIVO+final.pptx
22. Alkhateeb, F., J. Euzenat, and F. Montbonnot, Querying the semantic web.
23. Semantic Web Research Group. Available from: http://www.mindswap.org/%7Emhgrove/convert/.
24. triplify.org : Challenge. Available from: http://triplify.org/Challenge.
25. Dolby, J., et al., Scalable highly expressive reasoner (SHER). Web Semant., 2009. 7(4): p. 357-361.http://portal.acm.org/citation.cfm?id=1660168.1660452&coll=GUIDE&dl=GUIDE&CFID=94388196&CFTOKEN=17069749
26. Chebotko, A., S. Lu, and F. Fotouhi, Semantics preserving SPARQL-to-SQL translation. Data & Knowledge Engineering, 2009. 68(10): p. 973-1000.http://www.sciencedirect.com/science/article/B6TYX-4W32KH3-1/2/7e740a5c974be1267337a3b59008e216
27. Harasic, M., et al. RDFSwarms: selforganized distributed RDF triple store. 2010. Sierre, Switzerland: ACM. http://portal.acm.org/citation.cfm?id=1774088.1774375.
28. Owens, A. An Investigation into Improving RDF Store Performance. 2009; Available from: http://eprints.ecs.soton.ac.uk/17917/.
2004 2010

Appendix B References

1. YouTube - Pivot as user interface for the Information Workbench. [cited 2010 May 2]; Available from: http://www.youtube.com/watch?v=ecmD6tUyFYM&feature=player_embedded.
2. XML Viewer | Apache Pivot. Available from: http://pivot.apache.org/demos/xml-viewer.html.
3. YouTube - Quanta - Knowledge Organization. [cited 2009 December 5]; Available from: http://www.youtube.com/watch?v=EcziigZR3tM.
4. Pavlopoulos, G., A.-L. Wegener, and R. Schneider, A survey of visualization tools for biological network analysis. BioData Mining, 2008. 1(1): p. 12-12.http://www.biodatamining.org/content/1/1/12
5. Procter, J.B., et al., Visualization of multiple alignments, phylogenies and gene family evolution. Nature Methods, 2010. 7(3s): p. S16-S25-S16-S25.http://www.nature.com/doifinder/10.1038/nmeth.1434
6. O'Donoghue, S.I., et al., Visualizing biological data—now and in the future. Nature Methods, 2010. 7: p. S2-S4-S2-S4
7. Börner, K., et al., Knowledge Management and Visualization Tools in Support of Discovery. 2009.http://vw.slis.indiana.edu/cdi2008/NSF-Report.pdf
8. Large-scale RDF Graph Visualization Tools » AI3:::Adaptive Information. [cited 2009 December 12]; Available from: http://www.mkbergman.com/414/large-scale-rdf-graph-visualization-tools/.
9. erational > flexplorer v.01 - a flash browser %U http://www.erational.org/software/flexplorer/index.html,
10. TouchGraph | Products: Facebook Browser %U http://www.touchgraph.com/TGFacebookBrowser.html. [cited 2010 June 16].
11. W3C RDF Validation Service %U http://www.w3.org/RDF/Validator,
12. YouTube - skyrails, second build. [cited 2009 October 10]; Available from: http://www.youtube.com/watch?v=I2d312_dXEs&feature=player_embedded%27.
13. visualcomplexity.com | Skyrails. [cited 2009 November 20]; Available from: http://www.visualcomplexity.com/vc/project.cfm?id=511.
14. Skyrails Blog. [cited 2009 December 4]; Available from: http://cgi.cse.unsw.edu.au/~wyos/skyrails/.
15. Hearst, M., Search User Interfaces. 2009, Cambridge ; New York: Cambridge University Press.Available From:http://searchuserinterfaces.com/book/sui_ch10_visualization.html
16. Heino, N., et al., Developing semantic web applications with the ontowiki framework. Networked Knowledge-Networked Media, 2009: p. 61–77.http://www.springerlink.com/content/742m6l6418887542/?p=f3a03bed41574e0ca8ebd45388834279&pi=0
17. Bales, M., Sciologer: Visualizing and exploring scientific communities — Doctoral Dissertation (etc.).http://proquest.umi.com/pqdlink?did=1918555741&Fmt=7&clientId=15403&RQT=309&VName=PQD 2009.
18. Shami, N.S., et al. Making sense of strangers' expertise from signals in digital artifacts. 2009. Boston, MA, USA: ACM. http://portal.acm.org/citation.cfm?id=1518701.1518713.
19. Ehrlich, K., C.-Y. Lin, and V. Griffiths-Fisher. Searching for experts in the enterprise: combining text and social network analysis. 2007. Sanibel Island, Florida, USA: ACM. http://portal.acm.org/citation.cfm?id=1316642.
20. Lin, C.Y., et al., Smallblue: People mining for expertise search. IEEE MultiMedia, 2008. 15(1): p. 78-84
21. Wu, L., et al. Value of Social Network--A Large-Scale Analysis on Network Structure Impact to Financial Revenue of Information Technology Consultants. 2009. http://files.posterous.com/shamsuljafnishafie/LGQnjg2j8pW1VvNP9KVvs8BnqjOg3D2HjLz8sKNXc8m8Q7SD5c2ffcjbS4Yo/Utah-ValueOfSocialNetworks.pdf?AWSAccessKeyId=1C9REJR1EMRZ83Q7QRG2&Expires=1274714803&Signature=TOXnncw3RHOr5mPPLyFOvknTyuE%3D.
22. Smith, M.A., et al. Analyzing (social media) networks with NodeXL. 2009. University Park, PA, USA: ACM. http://portal.acm.org/citation.cfm?id=1556460.1556497.
23. Kumar, A. and N. Schwertner. Building Personal Collections and Networks of Digital Objects in a Fedora Repository Using VUE. 2008; Available from: http://pubs.or08.ecs.soton.ac.uk/112/.