Mobile speech and the armed services: Making a case for adding siri-like features to VAMTA (voice-activated medical tracking application)

Mobile Speech and Advanced Natural Language Solutions

Volumn , Issue , 2013, Pages 319-332

  Rodger, James A ^a   George, James A ^b  

^a INDIANA UNIVERSITY OF PENNSYLVANIA   (United States)

^b ExaminerCom   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION PROGRAMS; MILITARY APPLICATIONS; NATURAL LANGUAGE PROCESSING SYSTEMS; WEB SERVICES;

FUZZY LINGUISTICS; MILITARY PERSONNELS; MOBILE ENVIRONMENTS; NATURAL LANGUAGE APPLICATIONS; NATURAL LANGUAGE INTERFACES; NATURAL LANGUAGES; PERSONAL ASSISTANTS; TRACKING APPLICATION;

SPEECH RECOGNITION;

EID: 84938791117     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4614-6018-3     Document Type: Chapter

References (32)

1. Bunescu R, Ge R, Kate RJ, Marcotte EM, Mooney RJ, Ramani AK, Wong YW (2005) Comparative experiments on learning information extractors for proteins and their interactions. Artif Intell Med (Summarization and Information Extraction from Medical Documents) 33:139-155
2. Carlsson C, Fuller R (2011) Possibility for decision: a possibilistic approach to real life decisions. Springer, Berlin/Heidelberg
3. Cooke M et al (2009) Monaural speech separation and recognition challenge. Comput Speech Lang, (in Press). Corrected Proof, Available online 27 Mar 2009
4. Cross V (2004) Fuzzy semantic distance measures between ontological concepts. In: Proceedings of IEEE annual meeting of the North American fuzzy information processing society (NAFIPS 2004) Banff, June 27-30
5. Fellbaum C (2010) Wordnet, theory and applications of ontology: computer applications. Berlin, Springer, pp 231-243
6. Fuller R (2008) What is fuzzy logic and fuzzy ontology? KnowMobile national workshop, Helsinki, 30 Oct 2008
7. Gadchick (2011) The unofficial Siri handbook: the essential reference for your iPhone 4S. Amazon, New York
8. George JA, Rodger JA (2010) Smart data: enterprise performance optimization strategy. Wiley, New Jersey
9. Grassl W (1999) The reality of brands: towards an ontology of marketing. Am J Econ Sociol 58(2):313-359
10. Gruninger M, Atefi K et al (2000) Ontologies to support process integration in enterprise engineering. Comput Math Organ Theory 6:381-394
11. Guarino N, Giarretta P (1995) Ontologies and knowledge bases: towards a terminological clarification. In: Toward very large knowledge bases: knowledge building and knowledge sharing. Ios Press, Amsterdam
12. Hliaoutakis A (2005) Semantic similarity measures in mesh ontology and their application to information retrieval on medline. Masterand#x2019;s thesis, Technical University of Crete, Greek, (2005)
13. http://en. wikipedia. org/wiki/S PARQL
14. http://www.dodenterprisearchitecture.org/Pages/default.aspx
15. http://en. wikipedia.org/wiki/Resources,_events,_agents_(accounting_model)
16. http://en.wikipedia.org/wiki/Siri_(software)
17. Ionita C (2008) Building domain specific languages for voice recognition applications Revista Informatica Economica nr. 2 (46)/2008
18. Li Y, Zhai J, Chen Y (2005) Using ontology to achieve the semantic integration of the intelligent transport system. In: Proceedings of 2005 international conference on management science and engineering (12th), (Vol 3). Vienna, Austria, pp 2528-2532
19. Lowe H, Barnett G (1994) Understanding and using the medical subject headings (mesh) vocabulary to perform literature searches. JAMA 271:1103-1108
20. Massie T, Obrst L, Wijesekera D (2008) TVIS: tactical voice interaction services for dismounted urban operations. The MITRE Corporation, George Mason University
21. Meehan TF, Masci AM et al. (2011) Logical development of the cell ontology. BMC Bioinformatics 12 (1):6
22. Parry DT (2005) Fuzzy ontology and intelligent systems for discovery of useful medical information. Ph.D. thesis, Auckland University of Technology
23. Rodger JA, George JA (2010) Adapting the task-technology-fit model and smart data to validate end-user acceptance of the Voice Activated Medical Tracking Application (VAMTA). In: Neustein A Ph.D. (ed) Advances in speech recognition: mobile environments, call centers and clinics. Springer Science + Business Media, LLC, New York/Heidelberg
24. Rodger JA, Pendharkar PC (2007) A field study of database communication issues peculiar to users of a voice activated medical tracking application. Decis Support Syst 43(2):168-180
25. Scharenborg O (2007) Reaching over the gap: a review of efforts to link human and automatic speech recognition research. Speech Commun 49(5):336-347
26. Schorlemmer M, Kalfoglou Y (2008) Institutionalising ontology-based semanticintegration. Appl Ontology 3:131-150
27. Siniscalchi M, Lee CH (2009) A study on integrating acoustic-phonetic information into lattice rescoring for automatic speech recognition. Speech Commun 51(11):1139-1153
28. Sleeman D, Ajit S, Fowler DW, Knott D (2008) The role of ontologies in creating and maintaining corporate knowledge: a case study from the aero industry. Appl Ontology 3:151-172
29. Trappey AJC, Trappey CV, Hsu F, Hsiao DW (2009) A fuzzy ontological knowledge document clustering methodology. IEEE Trans Syst Man Cybern B Cybern 39(3):806-814
30. Westra R (2002) Marxian economic theory and an ontology of socialism: a Japanese intervention. Capital and Class 78:61-85
31. Wisnosky DE (2012) Bringing it all together! DoD enterprise architecture conference, Miami Florida, April 2012
32. Zadeh LA, Kacprzyk J (1992) Fuzzy logic for the management of uncertainty. Wiley, New York