Search (22 results, page 1 of 2)

  • × author_ss:"Chen, H."
  1. Chen, H.: Explaining and alleviating information management indeterminism : a knowledge-based framework (1994) 0.03 
    0.03482999 = product of:
  0.121904954 = sum of:
    0.09281765 = weight(_text_:management in 8221) [ClassicSimilarity], result of:
      0.09281765 = score(doc=8221,freq=10.0), product of:
        0.13932906 = queryWeight, product of:
          3.3706124 = idf(docFreq=4130, maxDocs=44218)
          0.041336425 = queryNorm
        0.6661758 = fieldWeight in 8221, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.3706124 = idf(docFreq=4130, maxDocs=44218)
          0.0625 = fieldNorm(doc=8221)
    0.029087303 = product of:
      0.058174606 = sum of:
        0.058174606 = weight(_text_:studies in 8221) [ClassicSimilarity], result of:
          0.058174606 = score(doc=8221,freq=2.0), product of:
            0.16494368 = queryWeight, product of:
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.041336425 = queryNorm
            0.35269377 = fieldWeight in 8221, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.0625 = fieldNorm(doc=8221)
      0.5 = coord(1/2)
  0.2857143 = coord(2/7)
    Abstract
    Attempts to identify the nature and causes of information management indeterminism in an online research environment and proposes solutions for alleviating this indeterminism. Conducts two empirical studies of information management activities. The first identified the types and nature of information management indeterminism by evaluating archived text. The second focused on four sources of indeterminism: subject area knowledge, classification knowledge, system knowledge, and collaboration knowledge. Proposes a knowledge based design for alleviating indeterminism, which contains a system generated thesaurus and an inferencing engine
    Source
    Information processing and management. 30(1994) no.4, S.557-577
  2. Chen, H.; Dhar, V.: Cognitive process as a basis for intelligent retrieval system design (1991) 0.02 
    0.02361285 = product of:
  0.08264497 = sum of:
    0.04150931 = weight(_text_:management in 3845) [ClassicSimilarity], result of:
      0.04150931 = score(doc=3845,freq=2.0), product of:
        0.13932906 = queryWeight, product of:
          3.3706124 = idf(docFreq=4130, maxDocs=44218)
          0.041336425 = queryNorm
        0.29792285 = fieldWeight in 3845, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.3706124 = idf(docFreq=4130, maxDocs=44218)
          0.0625 = fieldNorm(doc=3845)
    0.041135658 = product of:
      0.082271315 = sum of:
        0.082271315 = weight(_text_:studies in 3845) [ClassicSimilarity], result of:
          0.082271315 = score(doc=3845,freq=4.0), product of:
            0.16494368 = queryWeight, product of:
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.041336425 = queryNorm
            0.4987843 = fieldWeight in 3845, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.0625 = fieldNorm(doc=3845)
      0.5 = coord(1/2)
  0.2857143 = coord(2/7)
    Abstract
    2 studies were conducted to investigate the cognitive processes involved in online document-based information retrieval. These studies led to the development of 5 computerised models of online document retrieval. These models were incorporated into a design of an 'intelligent' document-based retrieval system. Following a discussion of this system, discusses the broader implications of the research for the design of information retrieval sysems
    Source
    Information processing and management. 27(1991) no.5, S.405-432
  3. Marshall, B.; Chen, H.; Kaza, S.: Using importance flooding to identify interesting networks of criminal activity (2008) 0.02 
    0.023028297 = product of:
  0.08059904 = sum of:
    0.062419478 = weight(_text_:case in 2386) [ClassicSimilarity], result of:
      0.062419478 = score(doc=2386,freq=4.0), product of:
        0.18173204 = queryWeight, product of:
          4.3964143 = idf(docFreq=1480, maxDocs=44218)
          0.041336425 = queryNorm
        0.34346986 = fieldWeight in 2386, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.3964143 = idf(docFreq=1480, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2386)
    0.018179566 = product of:
      0.03635913 = sum of:
        0.03635913 = weight(_text_:studies in 2386) [ClassicSimilarity], result of:
          0.03635913 = score(doc=2386,freq=2.0), product of:
            0.16494368 = queryWeight, product of:
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.041336425 = queryNorm
            0.22043361 = fieldWeight in 2386, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2386)
      0.5 = coord(1/2)
  0.2857143 = coord(2/7)
    Abstract
    Effectively harnessing available data to support homeland-security-related applications is a major focus in the emerging science of intelligence and security informatics (ISI). Many studies have focused on criminal-network analysis as a major challenge within the ISI domain. Though various methodologies have been proposed, none have been tested for usefulness in creating link charts. This study compares manually created link charts to suggestions made by the proposed importance-flooding algorithm. Mirroring manual investigational processes, our iterative computation employs association-strength metrics, incorporates path-based node importance heuristics, allows for case-specific notions of importance, and adjusts based on the accuracy of previous suggestions. Interesting items are identified by leveraging both node attributes and network structure in a single computation. Our data set was systematically constructed from heterogeneous sources and omits many privacy-sensitive data elements such as case narratives and phone numbers. The flooding algorithm improved on both manual and link-weight-only computations, and our results suggest that the approach is robust across different interpretations of the user-provided heuristics. This study demonstrates an interesting methodology for including user-provided heuristics in network-based analysis, and can help guide the development of ISI-related analysis tools.
  4. Huang, C.; Fu, T.; Chen, H.: Text-based video content classification for online video-sharing sites (2010) 0.02 
    0.019956294 = product of:
  0.069847025 = sum of:
    0.04413724 = weight(_text_:case in 3452) [ClassicSimilarity], result of:
      0.04413724 = score(doc=3452,freq=2.0), product of:
        0.18173204 = queryWeight, product of:
          4.3964143 = idf(docFreq=1480, maxDocs=44218)
          0.041336425 = queryNorm
        0.24286987 = fieldWeight in 3452, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.3964143 = idf(docFreq=1480, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3452)
    0.025709787 = product of:
      0.051419575 = sum of:
        0.051419575 = weight(_text_:studies in 3452) [ClassicSimilarity], result of:
          0.051419575 = score(doc=3452,freq=4.0), product of:
            0.16494368 = queryWeight, product of:
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.041336425 = queryNorm
            0.3117402 = fieldWeight in 3452, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3452)
      0.5 = coord(1/2)
  0.2857143 = coord(2/7)
    Abstract
    With the emergence of Web 2.0, sharing personal content, communicating ideas, and interacting with other online users in Web 2.0 communities have become daily routines for online users. User-generated data from Web 2.0 sites provide rich personal information (e.g., personal preferences and interests) and can be utilized to obtain insight about cyber communities and their social networks. Many studies have focused on leveraging user-generated information to analyze blogs and forums, but few studies have applied this approach to video-sharing Web sites. In this study, we propose a text-based framework for video content classification of online-video sharing Web sites. Different types of user-generated data (e.g., titles, descriptions, and comments) were used as proxies for online videos, and three types of text features (lexical, syntactic, and content-specific features) were extracted. Three feature-based classification techniques (C4.5, Naïve Bayes, and Support Vector Machine) were used to classify videos. To evaluate the proposed framework, user-generated data from candidate videos, which were identified by searching user-given keywords on YouTube, were first collected. Then, a subset of the collected data was randomly selected and manually tagged by users as our experiment data. The experimental results showed that the proposed approach was able to classify online videos based on users' interests with accuracy rates up to 87.2%, and all three types of text features contributed to discriminating videos. Support Vector Machine outperformed C4.5 and Naïve Bayes techniques in our experiments. In addition, our case study further demonstrated that accurate video-classification results are very useful for identifying implicit cyber communities on video-sharing Web sites.
  5. Hu, D.; Kaza, S.; Chen, H.: Identifying significant facilitators of dark network evolution (2009) 0.01 
    0.00919453 = product of:
  0.06436171 = sum of:
    0.06436171 = sum of:
      0.03635913 = weight(_text_:studies in 2753) [ClassicSimilarity], result of:
        0.03635913 = score(doc=2753,freq=2.0), product of:
          0.16494368 = queryWeight, product of:
            3.9902744 = idf(docFreq=2222, maxDocs=44218)
            0.041336425 = queryNorm
          0.22043361 = fieldWeight in 2753, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.9902744 = idf(docFreq=2222, maxDocs=44218)
            0.0390625 = fieldNorm(doc=2753)
      0.028002575 = weight(_text_:22 in 2753) [ClassicSimilarity], result of:
        0.028002575 = score(doc=2753,freq=2.0), product of:
          0.14475311 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.041336425 = queryNorm
          0.19345059 = fieldWeight in 2753, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0390625 = fieldNorm(doc=2753)
  0.14285715 = coord(1/7)
    Abstract
    Social networks evolve over time with the addition and removal of nodes and links to survive and thrive in their environments. Previous studies have shown that the link-formation process in such networks is influenced by a set of facilitators. However, there have been few empirical evaluations to determine the important facilitators. In a research partnership with law enforcement agencies, we used dynamic social-network analysis methods to examine several plausible facilitators of co-offending relationships in a large-scale narcotics network consisting of individuals and vehicles. Multivariate Cox regression and a two-proportion z-test on cyclic and focal closures of the network showed that mutual acquaintance and vehicle affiliations were significant facilitators for the network under study. We also found that homophily with respect to age, race, and gender were not good predictors of future link formation in these networks. Moreover, we examined the social causes and policy implications for the significance and insignificance of various facilitators including common jails on future co-offending. These findings provide important insights into the link-formation processes and the resilience of social networks. In addition, they can be used to aid in the prediction of future links. The methods described can also help in understanding the driving forces behind the formation and evolution of social networks facilitated by mobile and Web technologies.
    Date
    22. 3.2009 18:50:30
  6. Chen, H.; Chung, W.; Qin, J.; Reid, E.; Sageman, M.; Weimann, G.: Uncovering the dark Web : a case study of Jihad on the Web (2008) 0.01 
    0.007566384 = product of:
  0.052964687 = sum of:
    0.052964687 = weight(_text_:case in 1880) [ClassicSimilarity], result of:
      0.052964687 = score(doc=1880,freq=2.0), product of:
        0.18173204 = queryWeight, product of:
          4.3964143 = idf(docFreq=1480, maxDocs=44218)
          0.041336425 = queryNorm
        0.29144385 = fieldWeight in 1880, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.3964143 = idf(docFreq=1480, maxDocs=44218)
          0.046875 = fieldNorm(doc=1880)
  0.14285715 = coord(1/7)
  7. Fu, T.; Abbasi, A.; Chen, H.: ¬A focused crawler for Dark Web forums (2010) 0.01 
    0.00630532 = product of:
  0.04413724 = sum of:
    0.04413724 = weight(_text_:case in 3471) [ClassicSimilarity], result of:
      0.04413724 = score(doc=3471,freq=2.0), product of:
        0.18173204 = queryWeight, product of:
          4.3964143 = idf(docFreq=1480, maxDocs=44218)
          0.041336425 = queryNorm
        0.24286987 = fieldWeight in 3471, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.3964143 = idf(docFreq=1480, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3471)
  0.14285715 = coord(1/7)
    Abstract
    The unprecedented growth of the Internet has given rise to the Dark Web, the problematic facet of the Web associated with cybercrime, hate, and extremism. Despite the need for tools to collect and analyze Dark Web forums, the covert nature of this part of the Internet makes traditional Web crawling techniques insufficient for capturing such content. In this study, we propose a novel crawling system designed to collect Dark Web forum content. The system uses a human-assisted accessibility approach to gain access to Dark Web forums. Several URL ordering features and techniques enable efficient extraction of forum postings. The system also includes an incremental crawler coupled with a recall-improvement mechanism intended to facilitate enhanced retrieval and updating of collected content. Experiments conducted to evaluate the effectiveness of the human-assisted accessibility approach and the recall-improvement-based, incremental-update procedure yielded favorable results. The human-assisted approach significantly improved access to Dark Web forums while the incremental crawler with recall improvement also outperformed standard periodic- and incremental-update approaches. Using the system, we were able to collect over 100 Dark Web forums from three regions. A case study encompassing link and content analysis of collected forums was used to illustrate the value and importance of gathering and analyzing content from such online communities.
  8. Hu, P.J.-H.; Hsu, F.-M.; Hu, H.-f.; Chen, H.: Agency satisfaction with electronic record management systems : a large-scale survey (2010) 0.01 
    0.0052413424 = product of:
  0.036689393 = sum of:
    0.036689393 = weight(_text_:management in 4115) [ClassicSimilarity], result of:
      0.036689393 = score(doc=4115,freq=4.0), product of:
        0.13932906 = queryWeight, product of:
          3.3706124 = idf(docFreq=4130, maxDocs=44218)
          0.041336425 = queryNorm
        0.2633291 = fieldWeight in 4115, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.3706124 = idf(docFreq=4130, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4115)
  0.14285715 = coord(1/7)
    Abstract
    We investigated agency satisfaction with an electronic record management system (ERMS) that supports the electronic creation, archival, processing, transmittal, and sharing of records (documents) among autonomous government agencies. A factor model, explaining agency satisfaction with ERMS functionalities, offers hypotheses, which we tested empirically with a large-scale survey that involved more than 1,600 government agencies in Taiwan. The data showed a good fit to our model and supported all the hypotheses. Overall, agency satisfaction with ERMS functionalities appears jointly determined by regulatory compliance, job relevance, and satisfaction with support services. Among the determinants we studied, agency satisfaction with support services seems the strongest predictor of agency satisfaction with ERMS functionalities. Regulatory compliance also has important influences on agency satisfaction with ERMS, through its influence on job relevance and satisfaction with support services. Further analyses showed that satisfaction with support services partially mediated the impact of regulatory compliance on satisfaction with ERMS functionalities, and job relevance partially mediated the influence of regulatory compliance on satisfaction with ERMS functionalities. Our findings have important implications for research and practice, which we also discuss.
  9. Chen, H.: Intelligence and security informatics : Introduction to the special topic issue (2005) 0.00 
    0.0044935155 = product of:
  0.031454608 = sum of:
    0.031454608 = weight(_text_:management in 3232) [ClassicSimilarity], result of:
      0.031454608 = score(doc=3232,freq=6.0), product of:
        0.13932906 = queryWeight, product of:
          3.3706124 = idf(docFreq=4130, maxDocs=44218)
          0.041336425 = queryNorm
        0.22575769 = fieldWeight in 3232, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.3706124 = idf(docFreq=4130, maxDocs=44218)
          0.02734375 = fieldNorm(doc=3232)
  0.14285715 = coord(1/7)
    Abstract
    Making the Nation Safer: The Role of Science and Technology in Countering Terrorism The commitment of the scientific, engineering, and health communities to helping the United States and the world respond to security challenges became evident after September 11, 2001. The U.S. National Research Council's report an "Making the Nation Safer: The Role of Science and Technology in Countering Terrorism," (National Research Council, 2002, p. 1) explains the context of such a new commitment: Terrorism is a serious threat to the Security of the United States and indeed the world. The vulnerability of societies to terrorist attacks results in part from the proliferation of chemical, biological, and nuclear weapons of mass destruction, but it also is a consequence of the highly efficient and interconnected systems that we rely an for key services such as transportation, information, energy, and health care. The efficient functioning of these systems reflects great technological achievements of the past century, but interconnectedness within and across systems also means that infrastructures are vulnerable to local disruptions, which could lead to widespread or catastrophic failures. As terrorists seek to exploit these vulnerabilities, it is fitting that we harness the nation's exceptional scientific and technological capabilities to Counter terrorist threats. A committee of 24 of the leading scientific, engineering, medical, and policy experts in the United States conducted the study described in the report. Eight panels were separately appointed and asked to provide input to the committee. The panels included: (a) biological sciences, (b) chemical issues, (c) nuclear and radiological issues, (d) information technology, (e) transportation, (f) energy facilities, Cities, and fixed infrastructure, (g) behavioral, social, and institutional issues, and (h) systems analysis and systems engineering. The focus of the committee's work was to make the nation safer from emerging terrorist threats that sought to inflict catastrophic damage an the nation's people, its infrastructure, or its economy. The committee considered nine areas, each of which is discussed in a separate chapter in the report: nuclear and radiological materials, human and agricultural health systems, toxic chemicals and explosive materials, information technology, energy systems, transportation systems, Cities and fixed infrastructure, the response of people to terrorism, and complex and interdependent systems. The chapter an information technology (IT) is particularly relevant to this special issue. The report recommends that "a strategic long-term research and development agenda should be established to address three primary counterterrorismrelated areas in IT: information and network security, the IT needs of emergency responders, and information fusion and management" (National Research Council, 2002, pp. 11 -12). The MD in information and network security should include approaches and architectures for prevention, identification, and containment of cyber-intrusions and recovery from them. The R&D to address IT needs of emergency responders should include ensuring interoperability, maintaining and expanding communications capability during an emergency, communicating with the public during an emergency, and providing support for decision makers. The R&D in information fusion and management for the intelligence, law enforcement, and emergency response communities should include data mining, data integration, language technologies, and processing of image and audio data. Much of the research reported in this special issue is related to information fusion and management for homeland security.
  10. Hu, P.J.-H.; Lin, C.; Chen, H.: User acceptance of intelligence and security informatics technology : a study of COPLINK (2005) 0.00 
    0.004447426 = product of:
  0.031131983 = sum of:
    0.031131983 = weight(_text_:management in 3233) [ClassicSimilarity], result of:
      0.031131983 = score(doc=3233,freq=2.0), product of:
        0.13932906 = queryWeight, product of:
          3.3706124 = idf(docFreq=4130, maxDocs=44218)
          0.041336425 = queryNorm
        0.22344214 = fieldWeight in 3233, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.3706124 = idf(docFreq=4130, maxDocs=44218)
          0.046875 = fieldNorm(doc=3233)
  0.14285715 = coord(1/7)
    Abstract
    The importance of Intelligence and Security Informatics (ISI) has significantly increased with the rapid and largescale migration of local/national security information from physical media to electronic platforms, including the Internet and information systems. Motivated by the significance of ISI in law enforcement (particularly in the digital government context) and the limited investigations of officers' technology-acceptance decisionmaking, we developed and empirically tested a factor model for explaining law-enforcement officers' technology acceptance. Specifically, our empirical examination targeted the COPLINK technology and involved more than 280 police officers. Overall, our model shows a good fit to the data collected and exhibits satisfactory Power for explaining law-enforcement officers' technology acceptance decisions. Our findings have several implications for research and technology management practices in law enforcement, which are also discussed.
  11. Chen, H.; Chau, M.: Web mining : machine learning for Web applications (2003) 0.00 
    0.004447426 = product of:
  0.031131983 = sum of:
    0.031131983 = weight(_text_:management in 4242) [ClassicSimilarity], result of:
      0.031131983 = score(doc=4242,freq=2.0), product of:
        0.13932906 = queryWeight, product of:
          3.3706124 = idf(docFreq=4130, maxDocs=44218)
          0.041336425 = queryNorm
        0.22344214 = fieldWeight in 4242, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.3706124 = idf(docFreq=4130, maxDocs=44218)
          0.046875 = fieldNorm(doc=4242)
  0.14285715 = coord(1/7)
    Abstract
    With more than two billion pages created by millions of Web page authors and organizations, the World Wide Web is a tremendously rich knowledge base. The knowledge comes not only from the content of the pages themselves, but also from the unique characteristics of the Web, such as its hyperlink structure and its diversity of content and languages. Analysis of these characteristics often reveals interesting patterns and new knowledge. Such knowledge can be used to improve users' efficiency and effectiveness in searching for information an the Web, and also for applications unrelated to the Web, such as support for decision making or business management. The Web's size and its unstructured and dynamic content, as well as its multilingual nature, make the extraction of useful knowledge a challenging research problem. Furthermore, the Web generates a large amount of data in other formats that contain valuable information. For example, Web server logs' information about user access patterns can be used for information personalization or improving Web page design.
  12. Chen, H.; Baptista Nunes, J.M.; Ragsdell, G.; An, X.: Somatic and cultural knowledge : drivers of a habitus-driven model of tacit knowledge acquisition (2019) 0.00 
    0.004413724 = product of:
  0.030896068 = sum of:
    0.030896068 = weight(_text_:case in 5460) [ClassicSimilarity], result of:
      0.030896068 = score(doc=5460,freq=2.0), product of:
        0.18173204 = queryWeight, product of:
          4.3964143 = idf(docFreq=1480, maxDocs=44218)
          0.041336425 = queryNorm
        0.17000891 = fieldWeight in 5460, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.3964143 = idf(docFreq=1480, maxDocs=44218)
          0.02734375 = fieldNorm(doc=5460)
  0.14285715 = coord(1/7)
    Abstract
    The purpose of this paper is to identify and explain the role of individual learning and development in acquiring tacit knowledge in the context of the inexorable and intense continuous change (technological and otherwise) that characterizes our society today, and also to investigate the software (SW) sector, which is at the core of contemporary continuous change and is a paradigm of effective and intrinsic knowledge sharing (KS). This makes the SW sector unique and different from others where KS is so hard to implement. Design/methodology/approach The study employed an inductive qualitative approach based on a multi-case study approach, composed of three successful SW companies in China. These companies are representative of the fabric of the sector, namely a small- and medium-sized enterprise, a large private company and a large state-owned enterprise. The fieldwork included 44 participants who were interviewed using a semi-structured script. The interview data were coded and interpreted following the Straussian grounded theory pattern of open coding, axial coding and selective coding. The process of interviewing was stopped when theoretical saturation was achieved after a careful process of theoretical sampling.
  13. Li, J.; Zhang, Z.; Li, X.; Chen, H.: Kernel-based learning for biomedical relation extraction (2008) 0.00 
    0.0031164968 = product of:
  0.021815477 = sum of:
    0.021815477 = product of:
      0.043630954 = sum of:
        0.043630954 = weight(_text_:studies in 1611) [ClassicSimilarity], result of:
          0.043630954 = score(doc=1611,freq=2.0), product of:
            0.16494368 = queryWeight, product of:
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.041336425 = queryNorm
            0.26452032 = fieldWeight in 1611, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.046875 = fieldNorm(doc=1611)
      0.5 = coord(1/2)
  0.14285715 = coord(1/7)
    Abstract
    Relation extraction is the process of scanning text for relationships between named entities. Recently, significant studies have focused on automatically extracting relations from biomedical corpora. Most existing biomedical relation extractors require manual creation of biomedical lexicons or parsing templates based on domain knowledge. In this study, we propose to use kernel-based learning methods to automatically extract biomedical relations from literature text. We develop a framework of kernel-based learning for biomedical relation extraction. In particular, we modified the standard tree kernel function by incorporating a trace kernel to capture richer contextual information. In our experiments on a biomedical corpus, we compare different kernel functions for biomedical relation detection and classification. The experimental results show that a tree kernel outperforms word and sequence kernels for relation detection, our trace-tree kernel outperforms the standard tree kernel, and a composite kernel outperforms individual kernels for relation extraction.
  14. Chen, H.; Ng, T.D.; Martinez, J.; Schatz, B.R.: ¬A concept space approach to addressing the vocabulary problem in scientific information retrieval : an experiment on the Worm Community System (1997) 0.00 
    0.002597081 = product of:
  0.018179566 = sum of:
    0.018179566 = product of:
      0.03635913 = sum of:
        0.03635913 = weight(_text_:studies in 6492) [ClassicSimilarity], result of:
          0.03635913 = score(doc=6492,freq=2.0), product of:
            0.16494368 = queryWeight, product of:
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.041336425 = queryNorm
            0.22043361 = fieldWeight in 6492, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.0390625 = fieldNorm(doc=6492)
      0.5 = coord(1/2)
  0.14285715 = coord(1/7)
    Abstract
    This research presents an algorithmic approach to addressing the vocabulary problem in scientific information retrieval and information sharing, using the molecular biology domain as an example. We first present a literature review of cognitive studies related to the vocabulary problem and vocabulary-based search aids (thesauri) and then discuss techniques for building robust and domain-specific thesauri to assist in cross-domain scientific information retrieval. Using a variation of the automatic thesaurus generation techniques, which we refer to as the concept space approach, we recently conducted an experiment in the molecular biology domain in which we created a C. elegans worm thesaurus of 7.657 worm-specific terms and a Drosophila fly thesaurus of 15.626 terms. About 30% of these terms overlapped, which created vocabulary paths from one subject domain to the other. Based on a cognitve study of term association involving 4 biologists, we found that a large percentage (59,6-85,6%) of the terms suggested by the subjects were identified in the cojoined fly-worm thesaurus. However, we found only a small percentage (8,4-18,1%) of the associations suggested by the subjects in the thesaurus
  15. Dang, Y.; Zhang, Y.; Chen, H.; Hu, P.J.-H.; Brown, S.A.; Larson, C.: Arizona Literature Mapper : an integrated approach to monitor and analyze global bioterrorism research literature (2009) 0.00 
    0.002597081 = product of:
  0.018179566 = sum of:
    0.018179566 = product of:
      0.03635913 = sum of:
        0.03635913 = weight(_text_:studies in 2943) [ClassicSimilarity], result of:
          0.03635913 = score(doc=2943,freq=2.0), product of:
            0.16494368 = queryWeight, product of:
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.041336425 = queryNorm
            0.22043361 = fieldWeight in 2943, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2943)
      0.5 = coord(1/2)
  0.14285715 = coord(1/7)
    Abstract
    Biomedical research is critical to biodefense, which is drawing increasing attention from governments globally as well as from various research communities. The U.S. government has been closely monitoring and regulating biomedical research activities, particularly those studying or involving bioterrorism agents or diseases. Effective surveillance requires comprehensive understanding of extant biomedical research and timely detection of new developments or emerging trends. The rapid knowledge expansion, technical breakthroughs, and spiraling collaboration networks demand greater support for literature search and sharing, which cannot be effectively supported by conventional literature search mechanisms or systems. In this study, we propose an integrated approach that integrates advanced techniques for content analysis, network analysis, and information visualization. We design and implement Arizona Literature Mapper, a Web-based portal that allows users to gain timely, comprehensive understanding of bioterrorism research, including leading scientists, research groups, institutions as well as insights about current mainstream interests or emerging trends. We conduct two user studies to evaluate Arizona Literature Mapper and include a well-known system for benchmarking purposes. According to our results, Arizona Literature Mapper is significantly more effective for supporting users' search of bioterrorism publications than PubMed. Users consider Arizona Literature Mapper more useful and easier to use than PubMed. Users are also more satisfied with Arizona Literature Mapper and show stronger intentions to use it in the future. Assessments of Arizona Literature Mapper's analysis functions are also positive, as our subjects consider them useful, easy to use, and satisfactory. Our results have important implications that are also discussed in the article.
  16. Liu, X.; Kaza, S.; Zhang, P.; Chen, H.: Determining inventor status and its effect on knowledge diffusion : a study on nanotechnology literature from China, Russia, and India (2011) 0.00 
    0.002597081 = product of:
  0.018179566 = sum of:
    0.018179566 = product of:
      0.03635913 = sum of:
        0.03635913 = weight(_text_:studies in 4468) [ClassicSimilarity], result of:
          0.03635913 = score(doc=4468,freq=2.0), product of:
            0.16494368 = queryWeight, product of:
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.041336425 = queryNorm
            0.22043361 = fieldWeight in 4468, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4468)
      0.5 = coord(1/2)
  0.14285715 = coord(1/7)
    Abstract
    In an increasingly global research landscape, it is important to identify the most prolific researchers in various institutions and their influence on the diffusion of knowledge. Knowledge diffusion within institutions is influenced by not just the status of individual researchers but also the collaborative culture that determines status. There are various methods to measure individual status, but few studies have compared them or explored the possible effects of different cultures on the status measures. In this article, we examine knowledge diffusion within science and technology-oriented research organizations. Using social network analysis metrics to measure individual status in large-scale coauthorship networks, we studied an individual's impact on the recombination of knowledge to produce innovation in nanotechnology. Data from the most productive and high-impact institutions in China (Chinese Academy of Sciences), Russia (Russian Academy of Sciences), and India (Indian Institutes of Technology) were used. We found that boundary-spanning individuals influenced knowledge diffusion in all countries. However, our results also indicate that cultural and institutional differences may influence knowledge diffusion.
  17. Benjamin, V.; Chen, H.; Zimbra, D.: Bridging the virtual and real : the relationship between web content, linkage, and geographical proximity of social movements (2014) 0.00 
    0.002597081 = product of:
  0.018179566 = sum of:
    0.018179566 = product of:
      0.03635913 = sum of:
        0.03635913 = weight(_text_:studies in 1527) [ClassicSimilarity], result of:
          0.03635913 = score(doc=1527,freq=2.0), product of:
            0.16494368 = queryWeight, product of:
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.041336425 = queryNorm
            0.22043361 = fieldWeight in 1527, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1527)
      0.5 = coord(1/2)
  0.14285715 = coord(1/7)
    Abstract
    As the Internet becomes ubiquitous, it has advanced to more closely represent aspects of the real world. Due to this trend, researchers in various disciplines have become interested in studying relationships between real-world phenomena and their virtual representations. One such area of emerging research seeks to study relationships between real-world and virtual activism of social movement organization (SMOs). In particular, SMOs holding extreme social perspectives are often studied due to their tendency to have robust virtual presences to circumvent real-world social barriers preventing information dissemination. However, many previous studies have been limited in scope because they utilize manual data-collection and analysis methods. They also often have failed to consider the real-world aspects of groups that partake in virtual activism. We utilize automated data-collection and analysis methods to identify significant relationships between aspects of SMO virtual communities and their respective real-world locations and ideological perspectives. Our results also demonstrate that the interconnectedness of SMO virtual communities is affected specifically by aspects of the real world. These observations provide insight into the behaviors of SMOs within virtual environments, suggesting that the virtual communities of SMOs are strongly affected by aspects of the real world.
  18. Chung, W.; Chen, H.: Browsing the underdeveloped Web : an experiment on the Arabic Medical Web Directory (2009) 0.00 
    0.0024002206 = product of:
  0.016801544 = sum of:
    0.016801544 = product of:
      0.033603087 = sum of:
        0.033603087 = weight(_text_:22 in 2733) [ClassicSimilarity], result of:
          0.033603087 = score(doc=2733,freq=2.0), product of:
            0.14475311 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.041336425 = queryNorm
            0.23214069 = fieldWeight in 2733, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=2733)
      0.5 = coord(1/2)
  0.14285715 = coord(1/7)
    Date
    22. 3.2009 17:57:50
  19. Carmel, E.; Crawford, S.; Chen, H.: Browsing in hypertext : a cognitive study (1992) 0.00 
    0.002000184 = product of:
  0.0140012875 = sum of:
    0.0140012875 = product of:
      0.028002575 = sum of:
        0.028002575 = weight(_text_:22 in 7469) [ClassicSimilarity], result of:
          0.028002575 = score(doc=7469,freq=2.0), product of:
            0.14475311 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.041336425 = queryNorm
            0.19345059 = fieldWeight in 7469, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=7469)
      0.5 = coord(1/2)
  0.14285715 = coord(1/7)
    Source
    IEEE transactions on systems, man and cybernetics. 22(1992) no.5, S.865-884
  20. Leroy, G.; Chen, H.: Genescene: an ontology-enhanced integration of linguistic and co-occurrence based relations in biomedical texts (2005) 0.00 
    0.002000184 = product of:
  0.0140012875 = sum of:
    0.0140012875 = product of:
      0.028002575 = sum of:
        0.028002575 = weight(_text_:22 in 5259) [ClassicSimilarity], result of:
          0.028002575 = score(doc=5259,freq=2.0), product of:
            0.14475311 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.041336425 = queryNorm
            0.19345059 = fieldWeight in 5259, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5259)
      0.5 = coord(1/2)
  0.14285715 = coord(1/7)
    Date
    22. 7.2006 14:26:01

Authors

Years

Themes