By Routh E.J.
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Building a knowledge base from parsed definitions. In K. Jansen, G. Heidorn, & S. ), Natural Language Processing: The PLNLP Approach. Amsterdam: Kluwer Academic Publishers. , & Luk, S. (1994). Building a large scale knowledge base for machine translation. In Proceedings of the Thirteenth National Conference on Artificial Intelligence, (pp. 773-778). Menlo Park, CA: AAAI Press. , & Riedl, J. (1997). Grouplens: Applying collaborative filtering to Usenet news. Communications of the ACM, 40(3), 77–87.
2003). Automatic extraction of knowledge from web documents. In Proceedings of 2nd International Semantic Web Conference - Workshop on Human Language Technology for the Semantic Web abd Web Service. , & Shadbolt, N. (2002). Ontocopi: Methods and tools for identifying communities of practice. , & Mitchel, T. (1995). Webwatcher: A learning apprentice for the world wide web. In AAAI Spring Synopsium on Information Gathering from Heterogenous, Distributed Environments. , & Houben, G. (2006). Ontology-based personalisation in user adaptive systems.
The example shown in Figure 8 describes the temporal relationships between alarms with respect to target alarm 5 representing TAG T08UA976. A-R Durations 1186,1379,1518,1644,1439,1653,2058,11822,719,290,1333,886,3104,424, 760,914,813,960,844,892, 960,1043,735,632,781,789,888,837,942,885,910, 1656,1256,1017,1342,423,694,708,1371,1182,943, Figure 7. A graphical user interface was created to allow user interaction 34 Patterns Relevant to the Temporal Data-Context of an Alarm of Interest Figure 8. A graphical user interface was created for exploration of tags 87594,10337,759,7482, 2269,1109,2536,1127,761,339,492,945 R-A/TW Durations 743,757,704,702,732,642,373,1503,1612,1688,1686,1545,1516,1581,1574,1541,1747,1355,1408,135 9,1381,1787,1639,1507,1401,1407,1422,1335,1378,1339,1570,720,813,488,1886,1653,1802,1418,11 03,1908,1745,8538,1125,3420,593,611,1973,1500,1323,1576,1649,1524,1532 The aim of this procedure is to extract relevant information from vast amounts of data in order to indicate a threshold that characterizes the context of tag-dependent data.