Automatic building of new Field Association word candidates using search engine

With increasing popularity of the Internet and tremendous amount of on-line text, automatic document classification is important for organizing huge amounts of data. Readers can know the subject of many document fields by reading only some specific Field Association (FA) words. Document fields can be decided efficiently if there are many FA words and if the frequency rate is high. This paper proposes a method for automatically building new FA words. A WWW search engine is used to extract FA word candidates from document corpora. New FA word candidates in each field are automatically compared with previously determined FA words. Then new FA words are appended to an FA word dictionary. From the experiential results, our new system can automatically appended around 44% of new FA words to the existence FA word dictionary. Moreover, the concentration ratio 0.9 is also effective for extracting relevant FA words that needed for the system design to build FA words automatically.     

Three ways of knowing: Agricultural knowledge systems of small-scale farmers in Africa with reference to Kenya

Research carried out in 2011 in Kirinyaga district, Kenya, shows how sense-making theory and methodology can be used to assess the use of local agricultural and external knowledge by small-scale farmers and its effects on small-scale agriculture. Two knowledge systems, the local knowledge system and the external or scientific knowledge system, are considered dominant. The two systems can be synergistic and small-scale farmers have mixed them in their farming activities. Blending systems improve communication, livelihoods, and economies within local communities, and increases their participation in development. Data were collected in focus group discussions with farmers' groups and interviews with individual farmers. Results show that most farmers in Kirinyaga use external agricultural information in their farming practices. A significant number use combined external agricultural information and local knowledge, which forms a third knowledge system. This third system requires the validation of the farmers' innovations and documentation of the knowledge for wider dissemination. Information providers should adopt policies that promote the use of the three knowledge systems by small-scale farmers.     

A statistical analysis of the construction of the United Nations E-Government Development Index

There is much debate among scholars about what constitutes e-government success, what method is best for measuring it, and which variables best describe it. This lack of consensus naturally leads to disagreement about the best approach for ranking the e-government programs of different countries. This article evaluates the current standard in e-government ranking, the United Nations E-government Development Index, by performing a confirmatory factor analysis on the raw data reported in the “Data tables” section of the “Statistical annex” in the 2010 United Nations E-Government Survey. The results identify several technical issues with the index and point to the need for a statistical tool that can be used to evaluate and guide the development of e-government ranking systems. The article recommends that researchers develop a new paradigm for quantitative e-government ranking that uses factor analysis to aid in the selection of variables, the organization of aggregate constructs, and the determination of weights.     

Channel choice and public service delivery in Canada: Comparing e-government to traditional service delivery

This study examines channel choice and public service delivery in Canada, comparing e-government to traditional service delivery channels such as the phone or visiting a government office. Factors studied include the digital divide, the nature of the citizen interaction with government, public service values, and satisfaction with services received by citizens. These factors are used to determine whether they impacted choice of channel and satisfaction with that channel. This study, through logistic regression of a public opinion survey of Canadian residents, found indications suggesting a digital divide in accessing e-government; found that government websites were most commonly used for information purposes, while the phone was most commonly used to solve problems. In regards to citizens' satisfaction, the apparent digital divide was bridged when females and older Canadians were more satisfied with their contact with a government website. In addition, a positive experience with service delivery and positive public service values lead to greater website satisfaction. The results of this study imply that the phone is a more effective service channel for solving problems, and the website is more effective for getting information. Therefore, governments need to provide multiple contact channels for citizens, depending upon their task at hand, while ensuring consistency of information and service response across channels. Creating a positive experience for citizens when they received a service translates into a more satisfied experience with e-government.