Chunchen Liu

TL;DR: A Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses, which enables reliable and highly scalable execution of sequencing analyses workflows in a fully automated manner is proposed.

TL;DR: A novel semantic-based approach to achieve the diversity-aware retrieval of EMRs, i.e., both the relevance and novelty are considered for EMR ranking, and a novel diversification strategy, which considers not only the aspect importance but also the aspect similarity, to perform the Diversity-aware EMRranking is proposed.

TL;DR: A pilot study to migrate the concept of linked data into the development of a domain-specific application, i.e. the vehicle repair support system, and describes the approaches of semantic information retrieval to consume these linkages for value creation for companies.

TL;DR: In this paper, a method and a device for achieving query understanding is described. And the method includes acquiring at least one query keyword and acquiring synonyms of each query keyword; finding a concept matched with each word in a word set composed of the query keywords and the synonyms to obtain a matched concept set that each keyword corresponds to; combining concepts in the matched concept sets that each query keywords corresponds to and concepts in a matched concepts set that other query keywords correspond to, acquiring corresponding query semantic maps from a field body according to the obtained matched concept combination and determining a result of

TL;DR: In this paper, a method and device for processing a time sequence based on dimensionality reduction, belonging to the technical field of computers, is presented, which includes: acquiring at least one to-be-processed time sequence; processing the at least 1 time sequences based on piecewise linear approximation (PLA) where a time length of a time segment processed by PLA is unfixed and is an integral multiple of a preset unit time length.