Spatiotemporal and semantic information extraction from Web news reports about natural hazards

Computers, Environment and Urban Systems

Volumn 50, Issue , 2015, Pages 30-40

  Wang, Wei ^a   Stewart, Kathleen ^a  

^a UNIVERSITY OF IOWA   (United States)

Author keywords

Gazetteers; GIS; Hazard ontology; Natural language processing; Spatiotemporal semantic information retrieval

Indexed keywords

DATA MINING; GEOGRAPHIC INFORMATION SYSTEMS; HAZARDS; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTIC WEB; SOCIAL NETWORKING (ONLINE); STORMS;

GAZETTEERS; GEOGRAPHIC INFORMATION SCIENCE; NATURAL LANGUAGE PROCESSING; SEMANTIC INFORMATION; SEMANTIC INFORMATION EXTRACTIONS; SPATIOTEMPORAL INFORMATION; SPATIOTEMPORAL PATTERNS; SPATIOTEMPORAL SEMANTICS;

SEMANTICS;

GIS; INTERNET; MASS MEDIA; MEDIA ROLE; NATURAL HAZARD; SPATIOTEMPORAL ANALYSIS; WORLD WIDE WEB;

EID: 84911902685     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2014.11.001     Document Type: Article

References (54)

1. Allen J.F., Ferguson G. Actions and events in interval temporal logic. Journal of Logic and Computation, Special Issue on Action and Processing 1994, 205-245.
2. Arendarenko E., Kakkonen T. Ontology-based information and event extraction for business intelligence. Artificial Intelligence: Methodology, Systems, and Applications. Lecture Notes in Computer Science 2012, 7557:89-102.
3. Buscaldi, D., Bessagnet, M. N., Royer, A., & Sallaberry, C. (2014). Using the semantics of texts for information retrieval: A concept- and domain relation-based approach. In Proceedings of the 17th East European conference on advances in databases and information systems: New trends in databases and information systems (Vol. 241, pp. 257-266), Genoa, Italy.
4. Chasin R., Woodward D., Witmer J., Kalita J. Extracting and displaying temporal and geographical entities from articles and historical events. The Computer Journal 2013, 57(2). 10.1093/comjnl/bxt112.
5. Chowdhury G. Natural language processing. Annual Review of Information Science and Technology 2003, 37:51-89.
6. Clark A., Fox C., Lappin S. The handbook of computation linguistics and natural language processing 2010, Wiley_Blackwell.
7. Clough, P. (2005). Extracting metadata for spatially aware information retrieval on the internet. In Proceedings of the 2005 workshop on geographic information retrieval (pp. 25-30), Bremen, Germany.
8. Cruz, I. F., Ganesh, V. R., & Mirrezaei, S. I. (2013). Semantic extraction of geographic data from web tables for big data integration. In Proceedings of the 7th workshop on geographic information retrieval (pp. 19-26), Orlando, Florida.
9. Cruz I.F., Xiao H. The role of ontologies in data integration. Engineering Intelligent Systems for Electrical Engineering and Communications 2005, 13(4):245.
10. Delboni T.M., Borges K.A. Semantic expansion of geographic web queries based on natural language positioning expressions. Transactions in GIS 2007, 3:377-397.
11. Fernadez M., Cantador I., Lopez V., Vallet D., Castells P., Motta E. Semantically enhanced information retrieval: An ontology-based approach. Web Semantics: Science, Services and Agents on the World Wide Web 2011, 9(4):434-452.
12. Gangemi, A., Guarino, N., Masolo, C., Oltramari, A., & Schneider, L. (2002). Sweetening ontologies with DOLCE. In Proceedings of the 13th international conference on knowledge engineering and knowledge management, London, UK.
13. Goodchild M.F., Hill L.L. Introduction to digital gazetteer research. International Journal of Geographical Information Science 2008, 22(10):1039-1044.
14. Gregory I.N., Hardie A. Visual GISting: Bringing together corpus linguistics and geographical information systems. Literary and Linguistic Computing 2011, 26(3):297-314.
15. Grover C., Tobin R., Byrne K., Woollard M., Reid J., Dunn S., et al. Use of the Edinburgh geoparser for dereferencing digitized historical collections. Literary and Linguistic Computing 2010, 368(1925):3875-3889.
16. Guarino, N. (1998). Formal ontology and information systems. In Formal ontology in information systems. Proceedings of the 1st international conference on formal ontology in information systems (pp. 3-15), Trento, Italy.
17. Hu Z., Li J.S., Zhou T.Sh., Yu H.Y., Suzuki M., Araki K. Ontology-based clinical pathways with semantic rules. Journal of Medical Systems 2011, 36:2203-2212.
18. Imran, M., Elbassuomi, S., Castillo, C., Diaz, F., & Meier, P. (2013). Extracting information nuggets from disaster-related messages in social media. In Proceedings of the 10th international ISCRAM conference, Baden-Baden, Germany. .
19. Janowicz K., Keßler C. The role of ontology in improving gazetteer interaction. International Journal of Geographical Information Science 2008, 22(10):1129-1157.
20. Janowicz K., Scheider S., Pehle T., Hart G. Geospatial semantics and linked spatiotemporal data-past, present, and future. Semantic Web 2012, 3:321-332.
21. Jones C.B., Purves R. Geographical information retrieval. International Journal of Geographical Information Science 2008, 22(3):219-228.
22. Jones C.B., Purves R.S., Clough P.D., Joho H. Modelling vague places with knowledge from the web. International Journal of Geographical Information Science 2008, 22(10):1045-1065.
23. Kalfoglou Y., Schorlemmer M. Ontology mapping: The state of the art. The Knowledge Engineering Review 2003, 18(1):1-31.
24. Karimzadeh, M., Huang, W., Wallgrun, J. O., Hardisty, F., Pezanowski, S., Mitra, P., et al. (2013). GeoTxt: A web API to leverage place references in text. In Proceeding of the 7th workshop on geographic information retrieval (pp. 72-73), Orlando, Florida.
25. Kemp, Z., Tan, L., & Whalley, J. (2007). Interoperability for geospatial analysis: A semantics and ontology-based approach. In Proceedings of the eighteenth Australian database conference (Vol. 63, pp. 83-92), Ballarat, Victoria, Australia.
26. Kontopoulos E., Berberidis C., Dergiades T., Bassiliades N. Ontology-based sentiment analysis of twitter posts. Expert System with Applications 2013, 40(10):4065-4074.
27. Lee, C. H., Wu, Ch. H., Yang, H. Ch., Wen, W. Sh., & Chiang, Ch. Y. (2013). Exploiting online social data in ontology learning for event tracking and emergency response. In 13 Proceedings of the 2013 IEEE/ACM international conference on advances in social networks analysis and mining (pp. 1167-1174), New York, NY.
28. Li L., Goodchild M., Xu B. Spatial, temporal and socioeconomic patterns in the use of twitter and flicker. Cartography and Geographic Information Science 2013, 40(2):61-77.
29. Machado I.M.R., Alencar R.O.D., Campos R.D.O., Clodoveu A.D. An ontological gazetteer and its application for place name disambiguation in text. Journal of the Brazilian Computer Science 2011, 17(4):267-279.
30. Manning C.D., Raghavan P., Schütze H. Introduction to Information Retrieval 2008, Cambridge University Press, Cambridge.
31. Noy N.F. Semantic integration: A survey of ontology-based approaches. SIGMOD Record 2004, 33(4):65-70.
32. Purves R.S., Clough P., Jones C.B., Arampatzis A., Bucher B., Finch D., et al. The design and implementation of SPIRIT: A spatially aware search engine for information retrieval on the internet. International Journal of Geographical Information Science 2007, 21(7):717-745.
33. Purves R., Jones C. Geographic information retrieval. SIGSPATIAL Special 2010, 3(2):2-4.
34. Resnik P., Lin J. Evaluation of NLP systems. The Handbook of Computational Linguistics and Natural Language Processing 2010, 57:271.
35. Saggion H., Funk A., Maynard D., Bontcheva K. Ontology-based information extraction for business intelligence. The Semantic Web Lecture Notes in Computer Science 2007, 4825:843-856.
36. Sankaranarayanan, J., Teitler, B. E., Lieberman, M. D., & Sperling, J. (2009). TwitterStand: News in tweets. In Proceedings of 17th ACM SIGSPATIAL international conference on advances in geographic information systems (pp. 42-51), Seattle, WA, USA.
37. Sawsaa A.F., Lu J. Developing a domain ontology of information science (OIS). International Conference on Information Society 2012, 447-452.
38. Schorlemmer W.M., Kalfoglou Y.K. Institutionalising ontology-based semantic integration. Applied Ontology 2008, 3(3):131-150.
39. Silverman B.W. Density estimation for statistics and data analysis 1986, Chapman and Hall, London.
40. Sitter, A. D., Calders, T., & Daelemans, W. (2004). A formal framework for evaluation of information extraction. .
41. Smith B., Ceusters W. Ontological realism: A methodology for coordinated evolution of scientific ontologies. Applied Ontology 2010, 5(3-4):139-188.
42. Stewart K., Fan J.C., White E. Thinking about space-time connections: Spatiotemporal scheduling of individual activities. Transactions in GIS 2013, 17(6):791-807.
43. Stewart Hornsby, K., & Wang, W. (2010). Representing dynamic phenomena based on spatiotemporal information extracted from web documents. Extended abstracts. In Proceedings of the sixth international conference on geographic information science, Zurich, Switzerland. < http://www.giscience2010.org/pdfs/paper_131.pdf>.
44. Strotgen, J., Gertz, M., & Popv, P. (2010). Extraction and exploration of spatiotemporal information in documents. In Proceedings of the 6th workshop on geographic information retrieval, GIR 2010 (pp. 1-8), Zurich, Switzerland.
45. Teitler, B. E., Lieberman, M. D., Panozzo, D., Sankaranarayanan, J., Samet, H., & Sperling, J. (2008). NewsStand: A new view on news. In Proceedings of the 16th ACM SIGSPATIAL international conference on advances in geographic information systems (Vol. 18, pp. 1-10), Irvine, California, USA.
46. Vasardani M., Winter S., Richter K.F. Location place names from place descriptions. International Journal of Geographical Information Science 2013, 27(12):2509-2532.
47. Viera A.J., Garrett J.M. Understanding interobserver agreement: The Kappa statistic. Family Medicine 2005, 37(5):360-363.
48. Volz, R., Kleb, J., & Mueller, W. (2007). Towards ontology-based disambiguation of geographical identifiers. In Proceedings of WWW2007 Workshop I3: Identity, identifiers, identification, entity-centric approaches to information and knowledge management on the web, Banff, Canada. < http://ceur-ws.org/Vol-249/submission_132.pdf>.
49. Wang, W. (2014). Automated spatiotemporal and semantic information extraction for hazards. Ph.D. dissertation. University of Iowa Library.
50. Wang, W., & Stewart, K. (2013). Extracting spatiotemporal and semantic information from documents. In Proceeding of the 7th workshop on geographic information retrieval (pp. 17-18), Orlando, Florida.
51. Wang, W., & Stewart, K. (2014). Creating spatiotemporal semantic maps from web text documents. In M.-P. Kwan, D. Richardson, D. Wang, & C. Zhou (Eds.), Space-time integration in geography and GIScience: Research Frontiers in the US and China. Dordrecht: Springer.
52. Welty, C. A., & Murdock, J. W. (2003). IBM research report. The semantics of multiple annotations. <. http://domino.watson.ibm.com/library/cyberdig.nsf/papers/9BC2ECD749A724DB85256DD7006D2DC6/$File/rc22979.pdf>.
53. Wiegand N., Garcia C. A task-based ontology approach to automate geospatial data retrieval. Transaction in GIS 2007, 11(3):355-376.
54. Worboys, M. F., & Stewart Hornsby, K. (2004). From objects to events: GEM, the geospatial event model. In Proceeding of the 3rd international conference on geographic information sciences (Vol. 3234, pp. 327-344), Adelphi, MD.