Literatur zur Informationserschließung

Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.

© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 28. April 2022)

Suchergebnisse

• 21
  Hu, P.J.-H. ; Hsu, F.-M. ; Hu, H.-f. ; Chen, H.: Agency satisfaction with electronic record management systems : a large-scale survey.
  In: Journal of the American Society for Information Science and Technology. 61(2010) no.12, S.2559-2574.
  
  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.
  
  Themenfeld: Dokumentenmanagement
  Land/Ort: Taiwan
  
  
• 22
  Chung, W. ; Chen, H. ; Reid, E.: Business stakeholder analyzer : an experiment of classifying stakeholders on the Web.
  In: Journal of the American Society for Information Science and Technology. 60(2009) no.1, S.59-74.
  
  Abstract: As the Web is used increasingly to share and disseminate information, business analysts and managers are challenged to understand stakeholder relationships. Traditional stakeholder theories and frameworks employ a manual approach to analysis and do not scale up to accommodate the rapid growth of the Web. Unfortunately, existing business intelligence (BI) tools lack analysis capability, and research on BI systems is sparse. This research proposes a framework for designing BI systems to identify and to classify stakeholders on the Web, incorporating human knowledge and machine-learned information from Web pages. Based on the framework, we have developed a prototype called Business Stakeholder Analyzer (BSA) that helps managers and analysts to identify and to classify their stakeholders on the Web. Results from our experiment involving algorithm comparison, feature comparison, and a user study showed that the system achieved better within-class accuracies in widespread stakeholder types such as partner/sponsor/supplier and media/reviewer, and was more efficient than human classification. The student and practitioner subjects in our user study strongly agreed that such a system would save analysts' time and help to identify and classify stakeholders. This research contributes to a better understanding of how to integrate information technology with stakeholder theory, and enriches the knowledge base of BI system design.
  
  Anwendungsfeld: Informationswirtschaft
  
  
• 23
  Chung, W. ; Chen, H.: Browsing the underdeveloped Web : an experiment on the Arabic Medical Web Directory.
  In: Journal of the American Society for Information Science and Technology. 60(2009) no.3, S.595-607.
  
  Abstract: While the Web has grown significantly in recent years, some portions of the Web remain largely underdeveloped, as shown in a lack of high-quality content and functionality. An example is the Arabic Web, in which a lack of well-structured Web directories limits users' ability to browse for Arabic resources. In this research, we proposed an approach to building Web directories for the underdeveloped Web and developed a proof-of-concept prototype called the Arabic Medical Web Directory (AMedDir) that supports browsing of over 5,000 Arabic medical Web sites and pages organized in a hierarchical structure. We conducted an experiment involving Arab participants and found that the AMedDir significantly outperformed two benchmark Arabic Web directories in terms of browsing effectiveness, efficiency, information quality, and user satisfaction. Participants expressed strong preference for the AMedDir and provided many positive comments. This research thus contributes to developing a useful Web directory for organizing the information in the Arabic medical domain and to a better understanding of how to support browsing on the underdeveloped Web.
  
  Themenfeld: Internet ; Information Gateway
  Wissenschaftsfach: Medizin
  
  
• 24
  Hu, D. ; Kaza, S. ; Chen, H.: Identifying significant facilitators of dark network evolution.
  In: Journal of the American Society for Information Science and Technology. 60(2009) no.4, S.655-665.
  
  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.
  
  Themenfeld: Internet
  
  
• 25
  Ku, L.-W. ; Ho, H.-W. ; Chen, H.-H.: Opinion mining and relationship discovery using CopeOpi opinion analysis system.
  In: Journal of the American Society for Information Science and Technology. 60(2009) no.7, S.1486-1503.
  
  Abstract: We present CopeOpi, an opinion-analysis system, which extracts from the Web opinions about specific targets, summarizes the polarity and strength of these opinions, and tracks opinion variations over time. Objects that yield similar opinion tendencies over a certain time period may be correlated due to the latent causal events. CopeOpi discovers relationships among objects based on their opinion-tracking plots and collocations. Event bursts are detected from the tracking plots, and the strength of opinion relationships is determined by the coverage of these plots. To evaluate opinion mining, we use the NTCIR corpus annotated with opinion information at sentence and document levels. CopeOpi achieves sentence- and document-level f-measures of 62% and 74%. For relationship discovery, we collected 1.3M economics-related documents from 93 Web sources over 22 months, and analyzed collocation-based, opinion-based, and hybrid models. We consider as correlated company pairs that demonstrate similar stock-price variations, and selected these as the gold standard for evaluation. Results show that opinion-based and collocation-based models complement each other, and that integrated models perform the best. The top 25, 50, and 100 pairs discovered achieve precision rates of 1, 0.92, and 0.79, respectively.
  
  Themenfeld: Internet
  Objekt: CopeOpi
  
  
• 26
  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.
  In: Journal of the American Society for Information Science and Technology. 60(2009) no.7, S.1466-1485.
  
  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.
  
  Wissenschaftsfach: Mikrobiologie
  Land/Ort: USA
  
  
• 27
  Paschen, H.: Zur epistemischen Integration und Integriertheit heterogener Wissensbestände.
  In: Kompatibilität, Medien und Ethik in der Wissensorganisation - Compatibility, Media and Ethics in Knowledge Organization: Proceedings der 10. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation Wien, 3.-5. Juli 2006 - Proceedings of the 10th Conference of the German Section of the International Society of Knowledge Organization Vienna, 3-5 July 2006. Ed.: H.P. Ohly, S. Netscher u. K. Mitgutsch. Würzburg : Ergon Verlag, 2008. S.52-60.
  (Fortschritte in der Wissensorganisation; Bd.10)
  
  Abstract: Die wichtigste Ressource einer Wissensgesellschaft sind ihre Vorstellungen von Wissensformen und Wissensarten sowie von deren Entwicklung. Dies scheint besonders wichtig für langfristige Investitionen (wie Produktion und Ausbildung) und - in einer rasanten, komplexen, weit und tief strukturierten Informationsentwicklung - für die Identität und Kohärenz sichernden stabilen Interpretationen der Weiterentwicklung. An einem Rembrandtbild lässt sich Geschichte der Differenzierung von Wissensbeständen und eine frühe (ästhetische) Form ihrer Integration demonstrieren. Neben Hinweisen auf weitere Integrationsformen und ihre aktuellen Bedeutungen geht es vor allem, wiederum an einem paradigmatischen Beispiel, um eine Erschließung des Phänomens der Integriertheit von heterogenen Wissensbeständen. So lässt sich z.B. eine Verschränkung kognitiver und sozialer Wissensbestände erkennen. Ein derartiges Wissensverständnis erscheint hilfreich für moderne, meist eher schlagwortartig und programmatisch geforderte Aufgaben der Vernetzung, Interdisziplinarität, Ganzheitlichkeit und für die Suche nach physischen, psychischen, sozialen und mentalen Formen von 'Differenzen erhaltender Einheit' in pluralen Gesellschaften.
  
  
  
• 28
  Schumaker, R.P. ; Chen, H.: Evaluating a news-aware quantitative trader : the effect of momentum and contrarian stock selection strategies.
  In: Journal of the American Society for Information Science and Technology. 59(2008) no.2, S.247-255.
  
  Abstract: We study the coupling of basic quantitative portfolio selection strategies with a financial news article prediction system, AZFinText. By varying the degrees of portfolio formation time, we found that a hybrid system using both quantitative strategy and a full set of financial news articles performed the best. With a 1-week portfolio formation period, we achieved a 20.79% trading return using a Momentum strategy and a 4.54% return using a Contrarian strategy over a 5-week holding period. We also found that trader overreaction to these events led AZFinText to capitalize on these short-term surges in price.
  
  
  
• 29
  Li, J. ; Zhang, Z. ; Li, X. ; Chen, H.: Kernel-based learning for biomedical relation extraction.
  In: Journal of the American Society for Information Science and Technology. 59(2008) no.5, S.756-769.
  
  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.
  
  Themenfeld: Wissensrepräsentation
  Wissenschaftsfach: Medizin
  
  
• 30
  Fu, T. ; Abbasi, A. ; Chen, H.: ¬A hybrid approach to Web forum interactional coherence analysis.
  In: Journal of the American Society for Information Science and Technology. 59(2008) no.8, S.1195-1209.
  
  Abstract: Despite the rapid growth of text-based computer-mediated communication (CMC), its limitations have rendered the media highly incoherent. This poses problems for content analysis of online discourse archives. Interactional coherence analysis (ICA) attempts to accurately identify and construct CMC interaction networks. In this study, we propose the Hybrid Interactional Coherence (HIC) algorithm for identification of web forum interaction. HIC utilizes a bevy of system and linguistic features, including message header information, quotations, direct address, and lexical relations. Furthermore, several similarity-based methods including a Lexical Match Algorithm (LMA) and a sliding window method are utilized to account for interactional idiosyncrasies. Experiments results on two web forums revealed that the proposed HIC algorithm significantly outperformed comparison techniques in terms of precision, recall, and F-measure at both the forum and thread levels. Additionally, an example was used to illustrate how the improved ICA results can facilitate enhanced social network and role analysis capabilities.
  
  Themenfeld: Internet
  
  
• 31
  Chen, H. ; Chung, W. ; Qin, J. ; Reid, E. ; Sageman, M. ; Weimann, G.: Uncovering the dark Web : a case study of Jihad on the Web.
  In: Journal of the American Society for Information Science and Technology. 59(2008) no.8, S.1347-1359.
  
  Abstract: While the Web has become a worldwide platform for communication, terrorists share their ideology and communicate with members on the Dark Web - the reverse side of the Web used by terrorists. Currently, the problems of information overload and difficulty to obtain a comprehensive picture of terrorist activities hinder effective and efficient analysis of terrorist information on the Web. To improve understanding of terrorist activities, we have developed a novel methodology for collecting and analyzing Dark Web information. The methodology incorporates information collection, analysis, and visualization techniques, and exploits various Web information sources. We applied it to collecting and analyzing information of 39 Jihad Web sites and developed visualization of their site contents, relationships, and activity levels. An expert evaluation showed that the methodology is very useful and promising, having a high potential to assist in investigation and understanding of terrorist activities by producing results that could potentially help guide both policymaking and intelligence research.
  
  Themenfeld: Internet
  
  
• 32
  Vishwanath, A. ; Chen, H.: Personal communication technologies as an extension of the self : a cross-cultural comparison of people's associations with technology and their symbolic proximity with others.
  In: Journal of the American Society for Information Science and Technology. 59(2008) no.11, S.1761-1775.
  
  Abstract: Increasingly, individuals use communication technologies such as e-mail, IMs, blogs, and cell phones to locate, learn about, and communicate with one another. Not much, however, is known about how individuals relate to various personal technologies, their preferences for each, or their extensional associations with them. Even less is known about the cultural differences in these preferences. The current study used the Galileo system of multidimensional scaling to systematically map the extensional associations with nine personal communication technologies across three cultures: U.S., Germany, and Singapore. Across the three cultures, the technologies closest to the self were similar, suggesting a universality of associations with certain technologies. In contrast, the technologies farther from the self were significantly different across cultures. Moreover, the magnitude of associations with each technology differed based on the extensional association or distance from the self. Also, and more importantly, the antecedents to these associations differed significantly across cultures, suggesting a stronger influence of cultural norms on personal-technology choice.
  
  Themenfeld: Internet
  Wissenschaftsfach: Kommunikationswissenschaften
  
  
• 33
  Marshall, B. ; Chen, H. ; Kaza, S.: Using importance flooding to identify interesting networks of criminal activity.
  In: Journal of the American Society for Information Science and Technology. 59(2008) no.13, S.2099-2114.
  
  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.
  
  
  
• 34
  Chau, M. ; Shiu, B. ; Chan, M. ; Chen, H.: Redips: backlink search and analysis on the Web for business intelligence analysis.
  In: Journal of the American Society for Information Science and Technology. 58(2007) no.3, S.351-365.
  
  Abstract: The World Wide Web presents significant opportunities for business intelligence analysis as it can provide information about a company's external environment and its stakeholders. Traditional business intelligence analysis on the Web has focused on simple keyword searching. Recently, it has been suggested that the incoming links, or backlinks, of a company's Web site (i.e., other Web pages that have a hyperlink pointing to the company of Interest) can provide important insights about the company's "online communities." Although analysis of these communities can provide useful signals for a company and information about its stakeholder groups, the manual analysis process can be very time-consuming for business analysts and consultants. In this article, we present a tool called Redips that automatically integrates backlink meta-searching and text-mining techniques to facilitate users in performing such business intelligence analysis on the Web. The architectural design and implementation of the tool are presented in the article. To evaluate the effectiveness, efficiency, and user satisfaction of Redips, an experiment was conducted to compare the tool with two popular business Intelligence analysis methods-using backlink search engines and manual browsing. The experiment results showed that Redips was statistically more effective than both benchmark methods (in terms of Recall and F-measure) but required more time in search tasks. In terms of user satisfaction, Redips scored statistically higher than backlink search engines in all five measures used, and also statistically higher than manual browsing in three measures.
  
  Themenfeld: Internet
  Anwendungsfeld: Informationswirtschaft
  
  
• 35
  Schroeder, J. ; Xu, J. ; Chen, H. ; Chau, M.: Automated criminal link analysis based on domain knowledge.
  In: Journal of the American Society for Information Science and Technology. 58(2007) no.6, S.842-855.
  
  Abstract: Link (association) analysis has been used in the criminal justice domain to search large datasets for associations between crime entities in order to facilitate crime investigations. However, link analysis still faces many challenging problems, such as information overload, high search complexity, and heavy reliance on domain knowledge. To address these challenges, this article proposes several techniques for automated, effective, and efficient link analysis. These techniques include the co-occurrence analysis, the shortest path algorithm, and a heuristic approach to identifying associations and determining their importance. We developed a prototype system called CrimeLink Explorer based on the proposed techniques. Results of a user study with 10 crime investigators from the Tucson Police Department showed that our system could help subjects conduct link analysis more efficiently than traditional single-level link analysis tools. Moreover, subjects believed that association paths found based on the heuristic approach were more accurate than those found based solely on the co-occurrence analysis and that the automated link analysis system would be of great help in crime investigations.
  
  
  
• 36
  Ku, L.-W. ; Chen, H.-H.: Mining opinions from the Web : beyond relevance retrieval.
  In: Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1838-1850.
  
  Abstract: Documents discussing public affairs, common themes, interesting products, and so on, are reported and distributed on the Web. Positive and negative opinions embedded in documents are useful references and feedbacks for governments to improve their services, for companies to market their products, and for customers to purchase their objects. Web opinion mining aims to extract, summarize, and track various aspects of subjective information on the Web. Mining subjective information enables traditional information retrieval (IR) systems to retrieve more data from human viewpoints and provide information with finer granularity. Opinion extraction identifies opinion holders, extracts the relevant opinion sentences, and decides their polarities. Opinion summarization recognizes the major events embedded in documents and summarizes the supportive and the nonsupportive evidence. Opinion tracking captures subjective information from various genres and monitors the developments of opinions from spatial and temporal dimensions. To demonstrate and evaluate the proposed opinion mining algorithms, news and bloggers' articles are adopted. Documents in the evaluation corpora are tagged in different granularities from words, sentences to documents. In the experiments, positive and negative sentiment words and their weights are mined on the basis of Chinese word structures. The f-measure is 73.18% and 63.75% for verbs and nouns, respectively. Utilizing the sentiment words mined together with topical words, we achieve f-measure 62.16% at the sentence level and 74.37% at the document level.
  
  Anmerkung: Beitrag eines Themenschwerpunktes "Mining Web resources for enhancing information retrieval"
  
  Themenfeld: Data Mining
  Objekt: WWW
  
  
• 37
  Lin, W.-C. ; Chang, Y.-C. ; Chen, H.-H.: Integrating textual and visual information for cross-language image retrieval : a trans-media dictionary approach.
  In: Information processing and management. 43(2007) no.2, S.488-502.
  
  Abstract: This paper explores the integration of textual and visual information for cross-language image retrieval. An approach which automatically transforms textual queries into visual representations is proposed. First, we mine the relationships between text and images and employ the mined relationships to construct visual queries from textual ones. Then, the retrieval results of textual and visual queries are combined. To evaluate the proposed approach, we conduct English monolingual and Chinese-English cross-language retrieval experiments. The selection of suitable textual query terms to construct visual queries is the major issue. Experimental results show that the proposed approach improves retrieval performance, and use of nouns is appropriate to generate visual queries.
  
  Anmerkung: Beitrag in: Special issue on AIRS2005: Information Retrieval Research in Asia
  
  Themenfeld: Multilinguale Probleme
  Behandelte Form: Bilder
  
  
• 38
  Chen, H.-H. ; Lin, W.-C. ; Yang, C. ; Lin, W.-H.: Translating-transliterating named entities for multilingual information access.
  In: Journal of the American Society for Information Science and Technology. 57(2006) no.5, S.645-659.
  
  Abstract: Named entities are major constituents of a document but are usually unknown words. This work proposes a systematic way of dealing with formulation, transformation, translation, and transliteration of multilingual-named entities. The rules and similarity matrices for translation and transliteration are learned automatically from parallel-named-entity corpora. The results are applied in cross-language access to collections of images with captions. Experimental results demonstrate that the similarity-based transliteration of named entities is effective, and runs in which transliteration is considered outperform the runs in which it is neglected.
  
  Anmerkung: Beitrag einer special topic section on multilingual information systems
  
  Themenfeld: Multilinguale Probleme
  
  
• 39
  Qin, J. ; Zhou, Y. ; Chau, M. ; Chen, H.: Multilingual Web retrieval : an experiment in English-Chinese business intelligence.
  In: Journal of the American Society for Information Science and Technology. 57(2006) no.5, S.671-683.
  
  Abstract: As increasing numbers of non-English resources have become available on the Web, the interesting and important issue of how Web users can retrieve documents in different languages has arisen. Cross-language information retrieval (CLIP), the study of retrieving information in one language by queries expressed in another language, is a promising approach to the problem. Cross-language information retrieval has attracted much attention in recent years. Most research systems have achieved satisfactory performance on standard Text REtrieval Conference (TREC) collections such as news articles, but CLIR techniques have not been widely studied and evaluated for applications such as Web portals. In this article, the authors present their research in developing and evaluating a multilingual English-Chinese Web portal that incorporates various CLIP techniques for use in the business domain. A dictionary-based approach was adopted and combines phrasal translation, co-occurrence analysis, and pre- and posttranslation query expansion. The portal was evaluated by domain experts, using a set of queries in both English and Chinese. The experimental results showed that co-occurrence-based phrasal translation achieved a 74.6% improvement in precision over simple word-byword translation. When used together, pre- and posttranslation query expansion improved the performance slightly, achieving a 78.0% improvement over the baseline word-by-word translation approach. In general, applying CLIR techniques in Web applications shows promise.
  
  Anmerkung: Beitrag einer special topic section on multilingual information systems
  
  Themenfeld: Multilinguale Probleme
  Anwendungsfeld: Informationswirtschaft
  
  
• 40
  Zheng, R. ; Li, J. ; Chen, H. ; Huang, Z.: ¬A framework for authorship identification of online messages : writing-style features and classification techniques.
  In: Journal of the American Society for Information Science and Technology. 57(2006) no.3, S.378-393.
  
  Abstract: With the rapid proliferation of Internet technologies and applications, misuse of online messages for inappropriate or illegal purposes has become a major concern for society. The anonymous nature of online-message distribution makes identity tracing a critical problem. We developed a framework for authorship identification of online messages to address the identity-tracing problem. In this framework, four types of writing-style features (lexical, syntactic, structural, and content-specific features) are extracted and inductive learning algorithms are used to build feature-based classification models to identify authorship of online messages. To examine this framework, we conducted experiments on English and Chinese online-newsgroup messages. We compared the discriminating power of the four types of features and of three classification techniques: decision trees, backpropagation neural networks, and support vector machines. The experimental results showed that the proposed approach was able to identify authors of online messages with satisfactory accuracy of 70 to 95%. All four types of message features contributed to discriminating authors of online messages. Support vector machines outperformed the other two classification techniques in our experiments. The high performance we achieved for both the English and Chinese datasets showed the potential of this approach in a multiple-language context.