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- rvk_ss%3a%2200 76400 allgemeines %2f buch- und bibliothekswesen%2c informationswissenschaft %2f bibliothekswesen %2f bibliotheksbenutzung %2f auskunft%2c information%22 2
- rvk_ss%3a%2200 73400 allgemeines %2f buch- und bibliothekswesen%2c informationswissenschaft %2f bibliothekswesen %2f bibliotheksbenutzung %2f auskunft%2c information%22 2
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- rvk_ss%3a%2200 76400 allgemeines %2f buch- und bibliothekswesen%2c informationswissenschaft %2f bibliothekswesen %2f bibliotheksbenutzung %2f auskunfts%2c information%22 2
- rvk_ss%3a%2223 76400 allgemeines %2f buch- und bibliothekswesen%2c informationswissenschaft %2f bibliothekswesen %2f bibliotheksbenutzung %2f auskunft%2c information%22 2
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Zhao, G.; Wu, J.; Wang, D.; Li, T.: Entity disambiguation to Wikipedia using collective ranking (2016)
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- Abstract
- Entity disambiguation is a fundamental task of semantic Web annotation. Entity Linking (EL) is an essential procedure in entity disambiguation, which aims to link a mention appearing in a plain text to a structured or semi-structured knowledge base, such as Wikipedia. Existing research on EL usually annotates the mentions in a text one by one and treats entities independent to each other. However this might not be true in many application scenarios. For example, if two mentions appear in one text, they are likely to have certain intrinsic relationships. In this paper, we first propose a novel query expansion method for candidate generation utilizing the information of co-occurrences of mentions. We further propose a re-ranking model which can be iteratively adjusted based on the prediction in the previous round. Experiments on real-world data demonstrate the effectiveness of our proposed methods for entity disambiguation.
- Date
- 24.10.2016 19:22:54
- Source
- Information processing and management. 52(2016) no.6, S.1247-1257
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Li, T.; Slee, T.: ¬The effects of information privacy concerns on digitizing personal health records (2014)
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- Abstract
- Electronic health record (EHR) systems can improve service efficiency and quality within the health care sector and thus have been widely considered for adoption. Yet the introduction of such systems has caused much concern about patients' information privacy. This study provides new insights into how privacy concerns play a role in patients' decisions to permit digitization of their personal health information. We conducted an online experiment and collected data from 164 patients who are involved in the nonmandatory EHR adoption in the Netherlands. We found that the negative effect of information privacy concerns on patients' willingness to opt in is influenced by the degree of EHR system interoperability and patients' ability to control disclosure of their information. The results show that, for a networked EHR system, the negative effect of privacy concerns on opt-in behavior was reinforced more than for the stand-alone system. The results also suggest that giving patients greater ability to control their information can alleviate their privacy concerns when they make opt-in decisions. We discuss the implications of these findings.
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.8, S.1541-1554