About CrowdSA - Relevant Literature

References:

• [Artm11] H. Artman, et al., Dialogical Emergency Management and Strategic Awareness in Emergency Communication, Proc. of the 8th Int. ISCRAM Conference, Lisbon, Portugal, May 2011
• [Bell10] A. Bellucci, et al., Framing the design space for novel crisis-related mashups: the eStoryS example, Proc. of the 7th Int. ISCRAM Conference – Seattle, USA, May 2010
• [Bena08] F. Benaben, et al., A Metamodel and its Ontology to Guide Crisis Charcterizatino and its Collaborativ Management, Proc. of the 5th Int. ISCRAM Conf., Washington, May 2008.
• [Baum10a] Baumgartner, N. et al. BeAware! Situation awareness, the ontology-driven way, Intl. Journal of Data and Knowledge Engineering (DKE), 69(11), Nov. 2010.
• [Baum10b] N. Baumgartner, et al., Towards Duplicate Detection for Situation Awareness Based on Spatio-Temporal Relations, Proc. of the 9th Conf. on Ontologies, DB & Applications of Semantics, Greece, 2010.
• [Baum12] N. Baumgartner, S. Mitsch, A. Müller, W. Retschitzegger, A. Salfinger, W. Schwinger, The Situation Radar – Visualizing Collaborative Situation Awareness in Traffic Control Systems, Proc. of the 19th ITS World Congress, Vienna, Oct. 2012.
• [BeAw12] BeAware Project, FFG FIT-IT Semantic Systems, www.situation-awareness.net, project# 819577, 2012
• [Bito08] O. Biton, S. Cohen-Boulakia, S. Davidson, C. Hara, Querying and managing provenance through user views in scientific workflows. Proc. of the 24th Int. Conf. on Data Engineering, IEEE, 2008
• [Blei08] J. Bleiholder, F. Naumann, Data Fusion, ACM Computing Surveys, 41(1), Dec. 2008
• [Brun12a] F. Shaw, J. Burgess, A. Bruns. Patterns of Talk on Twitter during the Queensland Floods. Paper presented at the Talk about Disasters workshop, Griffith University, Brisbane, June 2012.
• [Brun12b] A. Bruns, Y. Liang. Tools and Methods for Capturing Twitter Data during Natural Disasters. First Monday 17(4), 2012.
• [Came12] M. A. Cameron, et al., Emergency Situation Awareness from Twitter for Crisis Management, Proc. of the WWW 2012 Workshop on Social Web for Disaster Management, Lyon, France, April 2012.
• [Chou11] Ch. Chou, et al., Ontology for Developing Web Sites for Natural Disaster Management: Methodology & Implementation, IEEE Transactions on Systems, Man, & Cybernetics – Part A, 41(1), Jan. 2011.
• [Comp12] M. Compton, M. Hauswirth, A. Shet et al., The SSN Ontology of the W3C Semantic Sensor Network Incubator Group. Journal of Web Semantics, 2012.
• [CSI12] CSI Project, FFG FIT-IT Semantic Systems, http://csi.situation-awareness.net, project# 829598, 2012
• [Cunn02] D. H. Cunningham, D. D. Maynard, D. K. Bontcheva, and M. V. Tablan, GATE: A Framework and Graphical Development Environment for Robust NLP Tools and Applications, 2002.
• [Davi07] Davidson, S. B., Boulakia, S. C., Eyal, A., Ludäscher, B., McPhillips, T. M., Bowers, S., Anand, M. K., Freire, J., Provenance in Scientific Workflow Systems. IEEE Data Eng. Bull., 30(4), 2007
• [Doa11] A. Doan, R. Ramakrishnan, A. Halevy, Crowdsourcing systems on the World-Wide Web, Communication of the ACM, 54(4), April 2011.
• [Ends95] M. R. Endsley. Towards a theory of situation awareness in dynamic systems: Situation awareness. Human factors, 37(1), 1995.
• [Feil12] C. Feilmayr, K. Vojinovic, B. Pröll., Designing a Multi-Dimensional Space for Hybrid Information Extraction, Proc. Of the 8th Int. Conf. on Language Resources and Evaluation (LREC), Istanbul, 2012
• [Gimp11] K. Gimpel, et al., Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments, Proc. of the Annual Meeting of the Association for Computational Linguistics, Portland, June 2011.
• [Guy10] M., Guy, et al., Integration and dissemination of citizen reported and seismically derived earth­quake information via social network technologies. Advances in Intelligent Data Analysis, 9, 2010.
• [Hart09] O., Hartig, Provenance Information in the Web of Data. Linked Data on the Web WS@WWW, 2009
• [Hens12] C. Henson, A. Sheth, K. Thirunarayan, Semantic Perception: Converting Sensory Observations to Abstractions, IEEE Internet Computing, 16(2), Mar./Apr. 2012
• [Hevn04]] A., Hevner, et al., Design Science in Information Systems Research. MIS Quarterly (28:1) 2004.
• [Kapp11] G. Kappel, E. Kapsammer, W. Retschitzegger, A. Schauerhuber, W. Schwinger, A Survey on Aspect-Oriented Modelling Approaches, ACM Computing Surveys, 43(4), 2011.
• [Kaps12] Kapsammer, et al.: Breaching Walled Gardens — Automatic Transformation of Social Network Data, Proc. Of the the 11th Int. Semantic Web Conf. (ISWC 2012), Boston, MA, USA, Nov., 2012
• [Kund10] M. Kunde, H. Bergmeyer, A. Schreiber, Requirements for a Provenance Visualization Component, Int. Provenance and Annotation Workshop, IPAW, NY, USA, June 2010
• [Lato11] M., Latonero, et al., Emergency management, Twitter, and social media evange­lism. Int. Journal of Information Systems for Crisis Response and Management, 3(4), 2011.
• [Livn05] Y. Livnat, J. Agutter, S. Moon, and S. Foresti, Visual Correlation for Situational Awareness, Proc. IEEE Information Visualization Conf. (InfoVis), 2005
• [Mace11] A., MacEachren, et al. SensePlace2: GeoTwitter Analytics Support for Situational Awareness. IEEE Conf. on Visual Analytics Science and Technology, Providence, Oct. 2011.
• [Mass11] K., Massoudi, et al., Incorporating query expansion and quality indicators in searching microblog posts, Proc. of the 33rd Europ. Conf. on Advances in information retrieval, April, Dublin, 2011.
• [Meie11] P., Meier, Verifying Crowdsourced Social Media Reports for Live Crisis Mapping: An Introduction to Information Forensics, Nov., 2011. [http://irevolution.files.wordpress.com]
• [Mill09] A., Mills, et al., Web 2.0 Emergency Applications: How Useful Can Twitter be for Emergency Response, Journal of Information Privacy & Security, 5(3).
• [More08] L., Moreau, et al., The Open Provenance Model: An Overview. Proc. of the 2nd Int. Provenance and Annotation Workshop, Springer, LNCS 5272, 2008.
• [Naga09] M., Nagarajan, et al. Spatio-Temporal-Thematic Analysis of Citizen-Sensor Data - Challenges and Experiences. Proc. of the 10th Int. Conf on Web Information Systems Engineering. Oct., 2009.
• [Naga11] M. Nagarajan, A. Shet, B. Velmurugan, Citizen Sensor Data Mining, Social Media Analytics and Development Centric Web Applications, Tutorial@WWW conference, Hyderabad, India, March, 2011.
• [Nuzz10] A., Nuzzolese, A., Gangemi, V., Presutti, P., Ciancarini, Fine-tuning triplification with Semion, EKAW workshop on Knowledge Injection into and Extraction from Linked Data (KIELD), 2010.
• [Pale07] L., Palen, S., Vieweg, J., Suttton, J., Liu, S.B., Hughes, A., Crisis Informatics: Studying crisis in a networked world. Proc. of the 3rd Int. Conf. on E-Social Science, Ann Arbor, MI, 2007.
• [Prov11] A. Shet et al., A unified framework for managing provenance information in translational research. BMC Bioinformatics 2011.
• [Reut12] Ch., Reuter, A., Marx, V., Pipek, Crisis Management 2.0: Towards a Systematization of Social Software Use in Crisis Situations, Int. Journal of IS for Crisis Response and Management, 4(1), 2012.
• [Schw08] A. Schwering. Approaches to semantic similarity measurement for geo-spatial data: A survey. Transactions in GIS, 12(1), 2008.
• [Star12] K., Starbird, L., Palen, (How) will the revolution be retweeted? Information diffusion and the 2011 Egyptian uprising, Proc. of the Conf. on CSCW, NY, 2012.
• [Stav12] A., Stavrakantonakis, et al., An approach for evaluation of social media monitoring tools, Proc. of the 1st Int. Workshop on Common Value Management, in conjunct. with ESWC, Heraklion, Greece, May, 2012.
• [Sutt08] J., Sutton, et al., Back­channels on the front lines: Emergent uses of social media in the 2007 Southern California wildfires, 5th Int. Conf. on IS for Crisis Response & Management, Washington, 2008.
• [Sutt10] J. Sutton, Twittering Tennessee: Distributed networks and collaboration following a technological disaster, Proc. of the 7th Int. Conf. on IS for Crisis Response and Management, Seattle, WA, 2010.
• [Tan07] W. Tan, Provenance in Databases: Past, Current, and Future. IEEE Data Eng. Bull., 30(4), 2007
• [Tisi09] M., Tisi, et al., On the Use of Higher-Order Model Transformations. Proc. of the 5th European Conf. on Model Driven Architecture – Foundations and Applications, Springer, LNCS 5562, 2009
• [View08] S., Vieweg, et al., Collective intelligence in disaster: Examination of the phenomenon in the aftermath of the Virginia Tech shooting, 5th Int. Conf. on IS f. Crisis Response & Mgmt, USA, 2008
• [View10] S., Vieweg, et al., Microblogging during two natural hazards events: What Twitter may contribute to situational awareness, Proc. of the Conf. on Hu­man Factors in Computing Systems, NY, 2010.
• [Whit10] C., White, et al., A framework to identify best practices: Social Media and Web 2.0 technologies in the emergency domain. Int. Journal of IS for Crisis Response and Management, 2(1), 2010.
• [Yang97] C. Yang, Y., Ming-hsuan, Constraint Networks: A Survey, IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation, 1997.
• [Zhao10] W. Zhao, et al., Context Modeling for Ranking and Tagging Bursty Features in Text Streams, Proc. of the Int. Conf. on Information and Knowledge Management (CIKM), Toronto, Canada, October, 2010.

|| Last edited: 18-07-2016