A proposal of a temporal semantics aware linked data information retrieval framework
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Aggarwal, N., & Buitelaar, P. (2012). A system description of natural language query over DBpedia. In Proceedings of interacting with linked data (pp. 96–99).
Alonso, O., Gertz, M., & Baeza-Yates, R. (2009). Clustering and exploring search results using timeline constructions. In Proceedings of the 18th ACM conference on information and knowledge management (pp. 97–106).
Ardalan, Z., Martín, C., & Padró, L. (2015). AETAS: a system for semanticizing temporal expressions from unstructured contents. In Proceedings of the advances in spatial and temporal databases - 14th international symposium (pp 478–483).
Bereta, K., Smeros, P., & Koubarakis, M. (2013). Representation and querying of valid time of triples in linked geospatial data. In Proceedings of the 10th European semantic web conference (pp. 259– 274).
Berners-Lee, T. (2006). Linked data - design issues. http://www.w3.org/DesignIssues/LinkedData.html .
Chang, A.X., & Manning, C. (2012). SUTime: a library for recognizing and normalizing time expressions. In Proceedings of the 8th international conference on language resources and evaluation, european language resources association (pp. 23–25).
Correndo, G., Salvadores, M., Millard, I., & Shadbolt, N. (2010). Linked timelines: temporal representation and management in linked data. In Proceedings of the first international workshop on consuming linked data. Shanghai.
Derczynski, L., & Gaizauskas, R.J. (2012). A corpus-based study of temporal signals. Computing Research Repository. arXiv: abs/1203.5066 .
Cabrio, E., Cojan, J., Magnini, B., Gandon, F., Palmero Aprosio, A., & Lavelli, A. (2012). Qakis qald-2. In Proceedings of interacting with linked data (ILD 2012) (pp. 87-95).
Fry, E.B., Kress, J.E., & Fountoukidis, D.L. (1993). The reading teacher’s book of lists. Englewood Cliffs: Prentice Hall.
Gutierrez, C., Hurtado, C., & Vaisman, R. (2005). Temporal rdf. In Proceedings of the 2nd european semantic web conference (pp. 93–107).
Hafner, C.D. (1985). Semantics of temporal queries and temporal data. In Proceedings of the 23rd annual meeting on association for computational linguistics, ACL ’85. doi: 10.3115/981210.981211 (pp. 1–8). Stroudsburg: Association for Computational Linguistics.
Khrouf, H., Milicic, V., & Troncy, R. (2012). EventMedia live: exploring events connections in real-time to enhance content. In Proceedings of the semantic web challenge at the 11th international conference on the semantic web. Boston.
Kucera, H., & Trnka, K. (1975). TTime in language: temporal adverbial constructions in Czech, Russian and English. Michigan Slavic Publications.
Mani, I., & Wilson, D.G. (2000). Robust temporal processing of news. In Proceedings of the 38th annual meeting on association for computational linguistics association for computational linguistics (pp. 69–76).
Matthias Wendt, M.G., & D̈wiger, H. (2012). Linguistic modeling of linked open data for question answering. In Proceedings of interacting with linked data (ILD 2012) (pp. 75–86).
Rahoman, M.M., & Ichise, R. (2012). An automated template selection framework for keyword query over linked data. In Proceedings of the 2nd joint international semantic technology conference (pp. 175– 190).
Rahoman, M.M., & Ichise, R. (2013). Tldret: a temporal semantic facilitated linked data retrieval framework. In Proceedings of the 3rd joint international semantic technology conference (pp. 228–243).
Rahoman, M.M., & Ichise, R. (2014). Automatic inclusion of semantics over keyword-based linked data retrieval. IEICE Transactions on Information and Systems, E97-D(11), 2852–2862.
Rula, A., Palmonari, M., Harth, A., Stadtmüller, S., & Maurino, A. (2012). On the diversity and availability of temporal information in linked open data. In Proceedings of the 11th international conference on the semantic web (pp. 492–507).
Rula, A., Palmonari, M., Ngomo, A.N., Gerber, D., Lehmann, J., & Bühmann, L. (2014). Hybrid acquisition of temporal scopes for RDF data. In The semantic web: trends and challenges - 11th international conference (pp. 488–503).
Saquete, E., González, J.L.V., Martínez-Barco, P., Muñoz, R., & Llorens, H. (2009). Enhancing QA systems with complex temporal question processing capabilities. Journal of Artificial Intelligence Research, 35, 775–811.
Saurí, R., Knippen, R., Verhagen, M., & Pustejovsky, J. (2005). Evita: a robust event recognizer for qa systems. In Proceedings of the conference on human language technology and empirical methods in natural language processing (pp. 700–707). Association for Computational Linguistics.
Schilder, F., & Habel, C. (2003). Temporal information extraction for temporal question answering. In Maybury, M T (Ed.) New directions in question answering, papers from the 2003 AAAI spring symposium TR SS-03-07 (pp. 35–44): AAAI Press.
Shekarpour, S., Auer, S., Ngomo, A.C.N., Gerber, D., Hellmann, S., & Stadler, C. (2011). Keyword-driven SPARQL query generation leveraging background knowledge. In Proceedings of the 10th international conference on web intelligence (pp. 203–210). IEEE Computer Society.
Tappolet, J., & Bernstein, A. (2009). Applied temporal rdf: efficient temporal querying of rdf data with sparql. In Proceedings of the 6th european semantic web conference (pp. 308–322).
Troncy, R., Malocha, B., & Fialho, A.T.S. (2010). Linking events with media. In Proceedings of the 6th international conference on semantic systems (pp. 1–4).
UzZaman, N., & Allen, J.F. (2010). Event and temporal expression extraction from raw text: first step towards a temporally aware system. International Journal of Semantic Computing, 4(4), 487– 508.
UzZaman, N., Llorens, H., & Allen, J.F. (2012). Evaluating temporal information understanding with temporal question answering. In Proceedings of the sixth IEEE international conference on semantic computing, ICSC 2012 (pp. 79-82).
Vandenbussche, P.Y., & Teissédre, C. (2011). Events retrieval using enhanced semantic web knowledge. In Proceedings of the workshop on detection, representation, and exploitation of events in the semantic web (pp. 112–116).
Wang, H., Liu, Q., Penin, T., Fu, L., Zhang, L., Tran, T., Yu, Y., & Pan, Y. (2009). Semplore: a scalable IR approach to search the web of data. Journal of Web Semantics, 7(3), 177–188.
Wang, Y., Zhu, M., Qu, L., Spaniol, M., & Weikum, G. (2010). Timely yago: harvesting, querying, and visualizing temporal knowledge from wikipedia. In Proceedings of the 13th international conference on extending database technology (pp. 697–700).