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Events formulate the world of human being and could be regarded as the semantic units in different granularities for information organization. Extracting events and temporal information from texts plays an important role for information analytics in big data. This paper surveys research work on text-based event temporal resolution and reasoning including the identification of events, temporal information...
Artificial Intelligence development is stepping into a new era due to the recent exciting achievements from neural network and statistical machine learning research communities. Statistic neural-computing based machine learning has been deemed as one of promising roads towards realizing the ideal of Artificial Intelligence promoted since last century. Learning is the key in making progress. Statistic...
Large scaled sensing data are continuously generated by the trillions of sensing devices in the Internet of Things(IoT). It becomes a big challenge to organize and manage these sensing data. In this paper, we propose an event-based organizing model, Event-Linked Network(ELN), to manage the big sensing data. Several different types of queries are also explored, which are different from the queries...
Massive hyperlinks exist in the current web, however, advanced applications need relationships between web resources. So it is necessary to evolve hyperlinks to semantic links. Besides, there are some implicit links between resources in the current web. In this paper, we propose an approach to evolving the current web to the semantic linked web, in which relationships between resources are represented...
Event processing is a significant evolution in the field of information technology. Semantic link network (SLN) is a semantic data model for managing resources and their semantic relations. This paper proposes a two-layered SLN model for event processing: the matter level and the event level. The event SLN aims to record and manage the evolving process of the matter level. We propose a domain independent...
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