-
Chuang, K.Y.; Yang, C.C.: Informational support exchanges using different computer-mediated communication formats in a social media alcoholism community (2014)
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- Abstract
- E-patients seeking information online often seek specific advice related to coping with their health condition(s) among social networking sites. They may be looking for social connectivity with compassionate strangers who may have experienced similar situations to share opinions and experiences rather than for authoritative medical information. Previous studies document distinct technological features and different levels of social support interaction patterns. It is expected that the design of the social media functions will have an impact on the user behavior of social support exchange. In this part of a multipart study, we investigate the social support types, in particular information support types, across multiple computer-mediated communication formats (forum, journal, and notes) within an alcoholism community using descriptive content analysis on 3 months of data from a MedHelp online peer support community. We present the results of identified informational support types including advice, referral, fact, personal experiences, and opinions, either offered or requested. Fact type was exchanged most often among the messages; however, there were some different patterns between notes and journal posts. Notes were used for maintaining relationships rather than as a main source for seeking information. Notes were similar to comments made to journal posts, which may indicate the friendship between journal readers and the author. These findings suggest that users may have initially joined the MedHelp Alcoholism Community for information-seeking purposes but continue participation even after they have completed with information gathering because of the relationships they formed with community members through social media features.
- Date
- 26. 1.2014 19:06:23
-
Yang, C.C.; Li, K.W.: ¬A heuristic method based on a statistical approach for chinese text segmentation (2005)
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- Abstract
- The authors propose a heuristic method for Chinese automatic text segmentation based an a statistical approach. This method is developed based an statistical information about the association among adjacent characters in Chinese text. Mutual information of bi-grams and significant estimation of tri-grams are utilized. A heuristic method with six rules is then proposed to determine the segmentation points in a Chinese sentence. No dictionary is required in this method. Chinese text segmentation is important in Chinese text indexing and thus greatly affects the performance of Chinese information retrieval. Due to the lack of delimiters of words in Chinese text, Chinese text segmentation is more difficult than English text segmentation. Besides, segmentation ambiguities and occurrences of out-of-vocabulary words (i.e., unknown words) are the major challenges in Chinese segmentation. Many research studies dealing with the problem of word segmentation have focused an the resolution of segmentation ambiguities. The problem of unknown word identification has not drawn much attention. The experimental result Shows that the proposed heuristic method is promising to segment the unknown words as weIl as the known words. The authors further investigated the distribution of the errors of commission and the errors of omission caused by the proposed heuristic method and benchmarked the proposed heuristic method with a previous proposed technique, boundary detection. It is found that the heuristic method outperformed the boundary detection method.
- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.13, S.1438-1447
-
Shi, X.; Yang, C.C.: Mining related queries from Web search engine query logs using an improved association rule mining model (2007)
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- Abstract
- With the overwhelming volume of information, the task of finding relevant information on a given topic on the Web is becoming increasingly difficult. Web search engines hence become one of the most popular solutions available on the Web. However, it has never been easy for novice users to organize and represent their information needs using simple queries. Users have to keep modifying their input queries until they get expected results. Therefore, it is often desirable for search engines to give suggestions on related queries to users. Besides, by identifying those related queries, search engines can potentially perform optimizations on their systems, such as query expansion and file indexing. In this work we propose a method that suggests a list of related queries given an initial input query. The related queries are based in the query log of previously submitted queries by human users, which can be identified using an enhanced model of association rules. Users can utilize the suggested related queries to tune or redirect the search process. Our method not only discovers the related queries, but also ranks them according to the degree of their relatedness. Unlike many other rival techniques, it also performs reasonably well on less frequent input queries.
- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1871-1883
-
Yang, C.C.; Lin, J.; Wei, C.-P.: Retaining knowledge for document management : category-tree integration by exploiting category relationships and hierarchical structures (2010)
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- Abstract
- The category-tree document-classification structure is widely used by enterprises and information providers to organize, archive, and access documents for effective knowledge management. However, category trees from various sources use different hierarchical structures, which usually make mappings between categories in different category trees difficult. In this work, we propose a category-tree integration technique. We develop a method to learn the relationships between any two categories and develop operations such as mapping, splitting, and insertion for this integration. According to the parent-child relationship of the integrating categories, the developed decision rules use integration operations to integrate categories from the source category tree with those from the master category tree. A unified category tree can accumulate knowledge from multiple resources without forfeiting the knowledge in individual category trees. Experiments have been conducted to measure the performance of the integration operations and the accuracy of the integrated category trees. The proposed category-tree integration technique achieves greater than 80% integration accuracy, and the insert operation is the most frequently utilized, followed by map and split. The insert operation achieves 77% of F1 while the map and split operations achieves 86% and 29% of F1, respectively.
- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.7, S.1313-1331
-
Yang, C.C.; Liu, N.: Web site topic-hierarchy generation based on link structure (2009)
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- Date
- 22. 3.2009 12:51:47
- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.3, S.495-508
-
Yang, C.C.; Luk, J.: Automatic generation of English/Chinese thesaurus based on a parallel corpus in laws (2003)
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- Abstract
- The information available in languages other than English in the World Wide Web is increasing significantly. According to a report from Computer Economics in 1999, 54% of Internet users are English speakers ("English Will Dominate Web for Only Three More Years," Computer Economics, July 9, 1999, http://www.computereconomics. com/new4/pr/pr990610.html). However, it is predicted that there will be only 60% increase in Internet users among English speakers verses a 150% growth among nonEnglish speakers for the next five years. By 2005, 57% of Internet users will be non-English speakers. A report by CNN.com in 2000 showed that the number of Internet users in China had been increased from 8.9 million to 16.9 million from January to June in 2000 ("Report: China Internet users double to 17 million," CNN.com, July, 2000, http://cnn.org/2000/TECH/computing/07/27/ china.internet.reut/index.html). According to Nielsen/ NetRatings, there was a dramatic leap from 22.5 millions to 56.6 millions Internet users from 2001 to 2002. China had become the second largest global at-home Internet population in 2002 (US's Internet population was 166 millions) (Robyn Greenspan, "China Pulls Ahead of Japan," Internet.com, April 22, 2002, http://cyberatias.internet.com/big-picture/geographics/article/0,,5911_1013841,00. html). All of the evidences reveal the importance of crosslingual research to satisfy the needs in the near future. Digital library research has been focusing in structural and semantic interoperability in the past. Searching and retrieving objects across variations in protocols, formats and disciplines are widely explored (Schatz, B., & Chen, H. (1999). Digital libraries: technological advances and social impacts. IEEE Computer, Special Issue an Digital Libraries, February, 32(2), 45-50.; Chen, H., Yen, J., & Yang, C.C. (1999). International activities: development of Asian digital libraries. IEEE Computer, Special Issue an Digital Libraries, 32(2), 48-49.). However, research in crossing language boundaries, especially across European languages and Oriental languages, is still in the initial stage. In this proposal, we put our focus an cross-lingual semantic interoperability by developing automatic generation of a cross-lingual thesaurus based an English/Chinese parallel corpus. When the searchers encounter retrieval problems, Professional librarians usually consult the thesaurus to identify other relevant vocabularies. In the problem of searching across language boundaries, a cross-lingual thesaurus, which is generated by co-occurrence analysis and Hopfield network, can be used to generate additional semantically relevant terms that cannot be obtained from dictionary. In particular, the automatically generated cross-lingual thesaurus is able to capture the unknown words that do not exist in a dictionary, such as names of persons, organizations, and events. Due to Hong Kong's unique history background, both English and Chinese are used as official languages in all legal documents. Therefore, English/Chinese cross-lingual information retrieval is critical for applications in courts and the government. In this paper, we develop an automatic thesaurus by the Hopfield network based an a parallel corpus collected from the Web site of the Department of Justice of the Hong Kong Special Administrative Region (HKSAR) Government. Experiments are conducted to measure the precision and recall of the automatic generated English/Chinese thesaurus. The result Shows that such thesaurus is a promising tool to retrieve relevant terms, especially in the language that is not the same as the input term. The direct translation of the input term can also be retrieved in most of the cases.
- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.7, S.671-682
-
Chua, A.Y.K.; Yang, C.C.: ¬The shift towards multi-disciplinarity in information science (2008)
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- Abstract
- This article analyzes the collaboration trends, authorship and keywords of all research articles published in the Journal of American Society for Information Science and Technology (JASIST). Comparing the articles between two 10-year periods, namely, 1988-1997 and 1998-2007, the three-fold objectives are to analyze the shifts in (a) authors' collaboration trends (b) top authors, their affiliations as well as the pattern of coauthorship among them, and (c) top keywords and the subdisciplines from which they emerge. The findings reveal a distinct tendency towards collaboration among authors, with external collaborations becoming more prevalent. Top authors have grown in diversity from those being affiliated predominantly with library/information-related departments to include those from information systems management, information technology, businesss, and the humanities. Amid heterogeneous clusters of collaboration among top authors, strongly connected cross-disciplinary coauthor pairs have become more prevalent. Correspondingly, the distribution of top keywords' occurrences that leans heavily on core information science has shifted towards other subdisciplines such as information technology and sociobehavioral science.
- Source
- Journal of the American Society for Information Science and Technology. 59(2008) no.13, S.2156-2170
-
Lam, W.; Yang, C.C.; Menczer, F.: Introduction to the special topic section on mining Web resources for enhancing information retrieval (2007)
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- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1791-1792
-
Yang, C.C.; Lam, W.: Introduction to the special topic section on multilingual information systems (2006)
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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.5, S.629-631
-
Chen, H.; Chung, Y.-M.; Ramsey, M.; Yang, C.C.: ¬A smart itsy bitsy spider for the Web (1998)
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- Source
- Journal of the American Society for Information Science. 49(1998) no.7, S.604-618
-
Yang, C.C.; Chung, A.: ¬A personal agent for Chinese financial news on the Web (2002)
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- Source
- Journal of the American Society for Information Science and technology. 53(2002) no.2, S.186-196
-
Wang, F.L.; Yang, C.C.: ¬The impact analysis of language differences on an automatic multilingual text summarization system (2006)
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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.5, S.684-696
-
Li, K.W.; Yang, C.C.: Conceptual analysis of parallel corpus collected from the Web (2006)
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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.5, S.632-644
-
Wang, F.L.; Yang, C.C.: Mining Web data for Chinese segmentation (2007)
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- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1820-1837
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Yang, C.C.; Wang, F.L.: Hierarchical summarization of large documents (2008)
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- Source
- Journal of the American Society for Information Science and Technology. 59(2008) no.6, S.887-902
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Tang, X.; Yang, C.C.; Song, M.: Understanding the evolution of multiple scientific research domains using a content and network approach (2013)
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- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.5, S.1065-1075
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Yang, C.C.; Li, K.W.: Automatic construction of English/Chinese parallel corpora (2003)
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- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.8, S.730-742
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Li, K.W.; Yang, C.C.: Automatic crosslingual thesaurus generated from the Hong Kong SAR Police Department Web Corpus for Crime Analysis (2005)
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- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.3, S.272-281
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Chau, M.; Lu, Y.; Fang, X.; Yang, C.C.: Characteristics of character usage in Chinese Web searching (2009)
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- Date
- 22.11.2008 17:57:22
