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Survival analysis is investigating the elapsed time which is between an origin time and an end time. Most statistical methods in survival analysis assume singly censored survival times that the origin time is known and allow the end time to be right censored. This thesis is concerned with the doubly interval-censored time where both the origin and the end time are not exactly observed but censored into certain intervals. The thesis first presents the basic concepts of survival times as well as the classical survival analysis methods with respect to the singly censored data. Then we discuss different algorithms which are proposed to deal with the doubly interval-censored survival times. We study two extended methods on the parametric and semi-parametric estimators, which are the parametric estimate method based on the doubly interval-censored likelihood and the Stochastic EM (StEM) algorithm. Finally we analyze three life event times of the residents who are from three communities in Belgium. The violation of the uniform distribution assumption on the origin time does not have a large impact on the efficiency in estimating the key percentiles when use the parametric estimate method based on the doubly interval-censored likelihood. However, the incorrect choice of a parametric distribution would lead to inefficient estimates of the survival time distribution. The StEM algorithm estimates the Cox regression coefficients and provides less biased results than the midpoint and reduced methods; besides the StEM algorithm accounts for all the variability of the measurements and for the covariate effect on the origin time. According to the research, we find that men from the three communities during that time period tend to have shorter lifetime than women; besides they are more likely to get married and have the first child at an older age than women. People who were born during 1679 to 1769 live longer than those born later. We also find that more and more people choose to get married and have the first child at a moderate age over time.

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The two-volume set of LNCS 11778 and 11779 constitutes the refereed proceedings of the 18th International Semantic Web Conference, ISWC 2019, held in Auckland, New Zealand, in October 2019. The ISWC conference is the premier international forum for the Semantic Web / Linked Data Community. The total of 74 full papers included in this volume was selected from 283 submissions. The conference is organized in three tracks: for the Research Track 42 full papers were selected from 194 submissions; the Resource Track contains 21 full papers, selected from 64 submissions; and the In-Use Track features 11 full papers which were selected from 25 submissions to this track. The chapter "The SEPSES knowledge graph: An integrated resource for cybersecurity" is open access under a CC BY 4.0 license at link.springer.com.

Semantic Web --- Database management. --- Artificial intelligence. --- Application software. --- Mathematical logic. --- Database Management. --- Artificial Intelligence. --- Information Systems Applications (incl. Internet). --- Mathematical Logic and Formal Languages. --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management

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