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g st -store: Querying Large Spatiotemporal RDF Graphs

1 Introduction Nowadays, we can use the Resource Description Framework (RDF) ( Klyne, Carroll, & McBride, 2004 ), which is recommended by the World Wide Web Consortium (W3C) as the foundation of the Semantic Web, to restore the knowledge. An RDF statement is a triple presented as 〈 subject , predicate , object 〉, which describes a property value of a subject or the relation between the two entities – the subject and the object . In practice, a huge amount of entities and statements contains spatial and temporal information, e.g., a city is always

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Implementation of a Linked Data-Based Genealogy Knowledge Service Platform for Digital Humanities

, especially the developed Linked Data technology, however, will help improve the current situation. In recent years, ontology-based semantic technology has been utilized to refactor genealogy data formatting abroad. Successful examples are “FamilySearch.org” by the Genealogical Society of Utah (GSU) and “ancestry.com”, which not only provide a keyword search function that describes document features but also enable users to explore a genealogy resource and its member relationships by featuring contents such as temporal-spatial correlation and kinship. One innovative case

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Petabytes in Practice: Working with Collections as Data at Scale

described in more detail below). 2 Background We must weave together a number of concepts and methods from the literature to incrementally build an annotated corpus from archival records. These concepts are as follows: –– treebank corpus annotation –– relational lenses –– document interpretation acts –– weak supervised learning –– convolutional neural networks –– long short-term memory –– bidirectional long short-term memory –– multimodal long short-term memory –– connectionist temporal classifier We can start with treebank corpus annotation

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Predicting Academic Digital Library OPAC Users’ Cross-device Transitions

et al. (2014) . As mentioned before, it is not mandatory for users to log in the OPAC with personal account, which leads to the less data which can be used for analysis. Therefore, the device transitions between the phones and tablets are much less in our work. 4.2 Temporal Characteristics of Cross-device Transition Temporal characteristics are always an important perspective in the research about user’s information-seeking behavior. In this section, we introduced the basic temporal characteristics about the device transition in OPAC, such as the hour when

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Exploring Technology Evolution in the Solar Cell Field: An Aspect from Patent Analysis

case study of smart grid technology. Technological Forecasting and Social Change , 79 (6), 1099-1110. 10.1016/j.techfore.2011.12.011 Chen S. H. Huang M. H. Chen D. Z. 2012 Identifying and visualizing technology evolution: A case study of smart grid technology Technological Forecasting and Social Change 79 6 1099 1110 Chen, S. H., Huang, M. H., Chen, D. Z., & Lin, S. Z. (2012). Detecting the temporal gaps of technology fronts: A case study of smart grid field. Technological Forecasting and Social Change , 79 (9), 1705-1719. 10.1016/j.techfore.2012.06.005 Chen S

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Burgeoning Data Repository Systems, Characteristics, and Development Strategies: Insights of Natural Resources and Environmental Scientists

when cross-referencing and extracting data from multiple data collections. In response, the participants described commonly used or standardized attributes that scientists in the field often query by or use to tie together studies from different sources. These include spatial and temporal features, measurement techniques, ecosystem types, grid cells, and different attributes of trees. The following responses from the participants highlight these points. “Since I am a spatial person, I want to be able to do with tabular and spatial queries, that’s very important

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To Phrase or Not to Phrase – Impact of User versus System Term Dependence upon Retrieval

.1145/281250.281253 Jansen B. J. Spink A. Bateman J. Saracevic T. 1998 April Real lif 32 1 5 17 ACM http://dx.doi.org/10.1145/281250.281253 Jansen, B. J., Spink, A., & Pedersen, J. (2005). A temporal comparison of AltaVista Web searching. Journal of the Association for Information Science and Technology , 56(6), 559-570. http://dx.doi.org/10.1002/asi.20145 Jansen B. J. Spink A. Pedersen J. 2005 A temporal comparison of AltaVista Web searching Journal of the Association for Information Science and Technology 56 6 559 570 http://dx.doi.org/10.1002/asi.20145 Jochim, C., Lioma, C

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Applications of inferential statistical methods in library and information science

in LIS in terms of the characteristics of statistical methods used. Zhang, Wang, & Zhao (2017) investigated the status of statistical methods used in the field and the temporal change patterns during a 15-year period. The current study, however, examined the connections and interactions between statistical methods and their application areas by investigating the papers published in six LIS journals during a recent 19-year period. The data from 1999 to 2017 were analyzed. In other words, the data of four more years were added to this study. The research methods of

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Smart and Connected Health: What Can We Learn from Funded Projects?

it should be combined with others to form an area. We concluded that the funded projects have explored the following main research areas: 1) developing medical system, user interface and platform to help treat, monitor, predict or understand some diseases such as Asthma, Type-II Diabetes Mellitus (T2DM), Infection, and Heart Failure; 2) modeling of intelligent clinical decision, health management, temporal HER, diseases treatment and reducing the risks of rehospitalization; 3) designing smart health devices such as the chair for proactive injury prevention and

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