Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
The Mashup Ecosystem Kapitel lesen Erstes Kapitel lesen

2013 | OriginalPaper | Buchkapitel

8. Mashups for the Emergency Management Domain

verfasst von : Axel Schulz, Heiko Paulheim

Erschienen in: Semantic Mashups

Verlag: Springer Berlin Heidelberg

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Emergency management applications support a command staff in disruptive disaster situations, such as earthquakes, large-scale floodings or fires. One crucial requirement to emergency management systems is to provide decision makers with the relevant information to support their decisions. Mashups can help here by providing flexible and easily understandable views on up-to-date information. In this chapter, we introduce a number of mashups from the domain of emergency management. An in-depth study of the mashup MICI shows how mashups can combine valuable information for ranking and filtering emergency calls to cope with information shortage and overload. We further discuss the use of Linked Open Data both as a source of additional information and a means for more intelligent filtering.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Speech Mashups
Nächstes Kapitel Similarity Mashups for Recommendation
Fußnoten
1
Twitris is available on http://​twitris.​knoesis.​org.
 
Literatur
1.
Abel F, Celik I, Houben G (2011) Leveraging the semantics of tweets for adaptive faceted search on Twitter. In: Aroyo L, Welty C, Alani H, Taylor J, Bernstein A, Kagal L, Noy N, Blomqvist E (eds) Proceedings of the 10th international conference on the semantic web, ISWC’11. Lecture notes in computer science, vol 7031. Springer, Berlin, pp 1–17
2.
Abel F, Hauff C, Houben G (2012) Twitcident: fighting fire with information from social web streams. In: Proceedings of international conference on hypertext and social media, Milwaukee
3.
Abel F, Hauff C, Stronkman R (2012) Semantics + filtering + search = Twitcident exploring information in social web streams categories and subject descriptors. In: International conference on hypertext and social media, Milwaukee
4.
5.
6.
7.
Auer S, Bizer C, Kobilarov G, Lehmann J, Cyganiak R, Ives Z (2007) DBpedia: a nucleus for a web of open data. In: Proceedings of the 6th international semantic web conference, ISWC, Busan, pp 722–735
8.
Auer S, Lehmann J, Hellmann S (2009) LinkedGeoData—adding a spatial dimension to the web of data. In: International semantic web conference (ISWC)
9.
Babitski G, Bergweiler S, Grebner O, Oberle D, Paulheim H, Probst F (2011) SoKNOS—using semantic technologies in disaster management software. In: The semantic web: research and applications (ESWC 2011), Part II, pp 183–197
10.
11.
Bizer C (2009) The emerging web of linked data. IEEE Intell Syst 24(5):87–92 CrossRef
12.
13.
Brownstein J, Freifeld C (2007) Healthmap: the development of automated real-time internet surveillance for epidemic intelligence. Euro Surveill 12(48):3322–3324
14.
Burke J, Estrin D, Hansen M, Parker A, Ramanathan N, Reddy S, Srivastava MB (2006) Participatory sensing. In: Workshop on world-sensor-web (WSW’06): mobile device centric sensor networks and applications, pp 117–134
15.
16.
17.
Collins A, Loftus E (1975) A spreading-activation theory of semantic processing. Psychol Rev 82(6):407–428 CrossRef
18.
Drabek TE, Hoetmer GJ (1991) Emergency management: principles and practice for local government. International City Management Association, Washington
19.
Endsley MR (1988) Design and evaluation for situation awareness enhancement. In: Aerospace systems: situation awareness in aircraft systems. Proceedings of the Human Factors Society annual meeting, vol 32. Human Factors and Ergonomics Society, Anaheim, pp 97–101
20.
21.
Fritz C, Kirschner C, Reker D, Wisplinghoff A (2010) Geospatial web mining for emergency management. In: GIScience 2010—extended abstracts, pp 1–5
22.
23.
Goolsby R (2009) Lifting elephants: Twitter and blogging in global perspective. In: Social computing and behavioral modeling. Springer, New York, pp 1–6 CrossRef
24.
25.
26.
Heim P, Thom D (2011) SemSor: combining social and semantic web to support the analysis of emergency situations. In: Proceedings of the 2nd workshop on semantic models for adaptive interactive systems (SEMAIS)
27.
28.
Jadhav A, Wang W, Mutharaju R, Anantharam P (2009) Twitris: socially influenced browsing. In: Semantic web challenge 2009, demo at 8th international semantic web conference, Washington
29.
Johnson D, Zagorecki A, Gelman JM, Comfort LK (2011) Improved situational awareness in emergency management through automated data analysis and modeling. J Homeland Secur Emerg Manag 8(1). doi:10.​2202/​1547-7355.​1873
30.
31.
32.
Keay A (2010) Ushahidi and Crowdmap: micro streaming as time-binding media. 3 PM J Digital Res Publ 1(2):116–125
33.
Lavrenko V, Croft WB (2001) Relevance based language models. In: Proceedings of the 24th annual international ACM SIGIR conference on research and development in information retrieval, SIGIR 01, pp 120–127 CrossRef
34.
Le-Phuoc D, Parreira JX, Hausenblas M, Han Y, Hauswirth M (2010) Live linked open sensor database. In: Proceedings of the 6th international conference on semantic systems, I-Semantics’10, p 1
35.
Le-Phuoc D, Quoc H, Parreira J (2011) The Linked Sensor Middleware—connecting the real world and the semantic web. In: Semantic web challenge 2011, ISWC 2011
36.
Lui S, Palen L (2010) The new cartographers: crisis map mashups and the emergence of neogeographic practice. Cartogr Geogr Inf Sci 37(1):69–90 CrossRef
37.
Mendes P, Passant A, Kapanipathi P (2010) Twarql: tapping into the wisdom of the crowd. In: Proceedings of the 6th international conference on semantic systems (I-Semantics 2010)
38.
Milis K, De Walle B (2007) IT for corporate crisis management: findings from a survey in 6 different industries on management attention, intention and actual use. In: 40th annual Hawaii international conference on system sciences, HICSS07, p 24
39.
40.
Okolloh O (2008) Ushahidi, or ‘testimony’: Web 2.0 tools for crowdsourcing crisis information. Particip Learn Action 59(January):65–70
41.
Puras JC, Iglesias CA (2009) Disasters 2.0: application of Web 2.0 technologies in emergency situations. In: Lundgren J, Jul S (eds) Proceedings of the 6th international ISCRAM conference, vol 37
42.
Sakaki T, Okazaki M (2010) Earthquake shakes Twitter users: real-time event detection by social sensors. In: Proceedings of the 6th international ISCRAM conference, Gothenburg, pp 1–10
43.
Schulz A, Paulheim H (2012) Combining government and linked open data in emergency management. In: AI mashup challenge 2012
44.
Sequeda JF, Corcho O (2009) Linked Stream Data: a position paper. In: Taylor K, Ayyagari A, Roure DD (eds) International workshop on semantic sensor networks, SSN 2009, vol 522. CEUR, Washington, pp 148–157
45.
Sheth A, Chen L (2011) Understanding events through analysis of social media. Tech rep, Kno.e.sis
46.
47.
48.
Vieweg S, Hughes AL, Starbird K, Palen L (2010) Microblogging during two natural hazards events. In: Proceedings of the 28th international conference on human factors in computing systems, CHI’10. ACM, New York, pp 1079–1088 CrossRef
49.
Zang N, Rosson M, Nasser V (2008) Mashups: who? what? why? In: CHI’08 extended abstracts on human factors in computing systems, pp 3171–3176
Metadaten
Titel
Mashups for the Emergency Management Domain
verfasst von
Axel Schulz
Heiko Paulheim
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
Buch
Semantic Mashups

Print ISBN: 978-3-642-36402-0

Electronic ISBN: 978-3-642-36403-7

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-3-642-36403-7_8