Game Development Reference
In-Depth Information
51. Pantel, P., Pennacchiotti, M.: Automatically harvesting and ontologizing semantic relations.
In: Proceedings of the 2008 Conference on Ontology Learning and Population: Bridging the
Gap between Text and Knowledge, pp. 171-195. IOS Press,Amsterdam (2008)
52. Papadopoulos, G.T., Mylonas, P., Mezaris, V., Avrithis, Y.S., Kompatsiaris, I.: Knowledge-
assisted image analysis based on context and spatial optimization. Int. J. Semantic Web Inf.
Syst. 2 (3), 17-36 (2006)
53. Park, L.a.F., Ramamohanarao, K.: An analysis of latent semantic term self-correlation. ACM
Trans. Inf. Syst. 27(2), 1-35 (2009)
54. Parshotam, K.: Crowd computing: a literature review and definition. In: Proceedings of the
South African Institute for Computer Scientists and Information Technologists Conference.
SAICSIT '13, pp. 121-130. ACM, New York (2013)
55. Quinn, A.J., Bederson, B.B.: Human computation: a survey and taxonomy of a growing field.
In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI
'11, pp. 1403-1412. ACM, New York (2011)
56. Radhakrishnan, R., Divakaran, A., Xiong, Z.: A time series clustering based framework for
multimedia mining and summarization using audio features. In: Proceedings of the 6th ACM
SIGMM International Workshop on Multimedia Information Retrieval. MIR '04, pp. 157-164.
ACM, New York (2004)
57. Richter, S., Perkmann Berger, S., Koch, G., Füller, J.: Online idea contests: identifying factors
for user retention. Proceedings of the 5th International Conference on Online Communities
and Social Computing. OCSC'13, pp. 76-85. Springer, Berlin, Heidelberg (2013)
58. Sabou, M., Bontcheva, K., Scharl, A.: Crowdsourcing research opportunities: lessons from nat-
ural language processing. In: Proceedings of the 12th International Conference on Knowledge
Management and Knowledge Technologies, i-KNOW '12, pp. 17:1-17:8. ACM, New York
(2012)
59. Sanchez, D.: A methodology to learn ontological attributes from the web. Data Knowl. Eng.
69 (6), 573-597 (2010)
60. Sanchez, D., Moreno, A.: Learning non-taxonomic relationships from web documents for
domain ontology construction. Data Knowl. Eng. 64 (3), 600-623 (2008)
61. Schedl, M., Widmer, G., Knees, P., Pohle, T.: A music information system automatically gen-
erated via web content mining techniques. Inf. Process. Manage. 47 (3), 426-439 (2011)
62. Siorpaes, K., Hepp, M.: Games with a purpose for the semantic web. IEEE Intell. Syst. 23 ,
50-60 (2008)
63. Stewart, R., Scott, G., Zelevinsky, V.: Idea navigation: structured browsing for unstructured
text. In: Proceeding of the Twenty-Sixth Annual SIGCHI Conference on Human Factors in
Computing Systems, CHI '08, pp. 1789-1792. ACM, New York (2008)
64. Tokarchuk, O., Cuel, R., Zamarian, M.: Analyzing crowd labor and designing incentives for
humans in the loop. IEEE Internet Comput. 16 (5), 45-51 (2012)
65. Tsinaraki, C., Polydoros, P., Kazasis, F., Christodoulakis, S.: Ontology-based semantic indexing
for mpeg-7 and tv-anytime audiovisual content. Multimedia Tools Appl. 26 (3), 299-325 (2005)
66. Tudorache, T., Noy, N.F., Falconer, S.M., Musen, M.A.: A knowledge base driven user interface
for collaborative ontology development. Proceedings of the 16th International Conference on
Intelligent User Interfaces. IUI '11, pp. 411-414. ACM, New York (2011)
67. Tvarožek, M.: Exploratory search in the adaptive social semantic web. Inf. Sci. Technol. Bull.
ACM Slovakia 3 (1), 42-51 (2011)
68. Tvarožek, M., Bieliková, M.: Generating exploratory search interfaces for the semantic web.
In:Forbrig, P., Paternó, F., Mark Pejtersen, A. (eds.) Human-Computer Interaction, IFIP
Advances in Information and Communication Technology, vol. 332, pp. 175-186. Springer,
Boston (2010)
69. Verborgh, R., Van Deursen, D., Mannens, E., Poppe, C., Van de Walle, R.: Enabling context-
aware multimedia annotation by a novel generic semantic problem-solving platform. Multi-
media Tools Appl. 61 (1), 105-129 (2012)
70. Wang, Y., Mei, T., Gong, S., Hua, X.S.: Combining global, regional and contextual features
for automatic image annotation. Pattern Recogn. 42 (2), 259-266 (2009)
Search WWH ::




Custom Search