Collaboratively Assessing Information Quality on the Web

The Web has become a large repository of information with varying qualities. Many users often consume information without knowing its quality. Although automatic methods can be used to obtain measurements of certain aspects of quality, they are not reliable and cannot measure all aspects of quality. Users can detect errors and reliably assess aspects of quality that cannot be measured by automatic methods. However, there is a lack of technology support for users to record and share their feedback. This research aims to develop technologies to allow users to collaboratively assess information quality on the Web. The solution combines the capabilities of machines and humans to obtain comprehensive, reliable, and scalable measurements of information quality. In this paper, the crucial user interaction component of the solution is presented. It uses a browser plug-in to allow users to rate and annotate any Web page and share ratings and annotations with other users

Incorporating Information Quality Management into EAI Processes

Nowadays Enterprise Application Integration (EAI) is rather a technical problem than an organizational issue in enterprise systems. Due to the increased complexity of EAI processes, it is difficult to guarantee the information quality (IQ) without scientific process control. Information Quality Management (IQM) highlights the control of the business processes by resolving IQ problems through IQ definition, measurement, analysis and improvement. When considering EAI’s emphasis on the integration of business processes and the information flow within an enterprise, they are potentially mutually complementary for the IQ improvement. However, there are very few studies carefully examining IQ improvement in EAI processes, and complementary nature of IQM and EAI. By analyzing the challenges of EAI to IQ, and theoretical foundations of incorporating IQM into EAI processes, this study proposes a framework to effectively improve the IQ of EAI processes, and suggests six propositions for future research

Information Outlook, August 2006

Volume 10, Issue 8https://scholarworks.sjsu.edu/sla_io_2006/1007/thumbnail.jp

Break it Down for Me: A Study in Automated Lyric Annotation

Comprehending lyrics, as found in songs and poems, can pose a challenge to human and machine readers alike. This motivates the need for systems that can understand the ambiguity and jargon found in such creative texts, and provide commentary to aid readers in reaching the correct interpretation. We introduce the task of automated lyric annotation (ALA). Like text simplification, a goal of ALA is to rephrase the original text in a more easily understandable manner. However, in ALA the system must often include additional information to clarify niche terminology and abstract concepts. To stimulate research on this task, we release a large collection of crowdsourced annotations for song lyrics. We analyze the performance of translation and retrieval models on this task, measuring performance with both automated and human evaluation. We find that each model captures a unique type of information important to the task.Comment: To appear in Proceedings of EMNLP 201

The role of quality factors on learning management systems adoption from instructors' perspectives

Learning management systems have been largely used in universities for teaching, student learning, curriculum, and staff development. However, just providing higher education institutions with a learning management system does not guarantee a success. Quality assurance of these systems has become a central concern for practitioners, researchers, and system providers. In this context, this empirical research investigates quality factors that can contribute to learning management system adoption. In addition, the study developed a research model based on TAM and information systems success model by integrating associated quality indicators inclusive of system quality, service quality, information quality, and instructor quality. Quantitative data using questionnaire gathered from 365 lecturers in Palestine universities were inspected to evaluate the influence of various constructs on lecturers’ adoption of learning management systems using structural equation modeling analysis technique. The research findings show that information quality, system quality, service quality, and instructors’ quality can contribute to e-learning management system adoption with regards to their beliefs. This Research contributes positively to the limited literature on assessing the quality predictors of learning management system adoption

6th International Conference on Libraries (ICOL) 2017 “Towards Lean Libraries”

The International Conference on Libraries (ICOL2017) held in Penang, Malaysia on 2-3 August 2017, was the sixth international ICOL conference, a once-every-two-years opportunity that provides platform for participants and presenters to access the best information, discover new ideas and network with people in the profession. More than 20 abstracts submitted by interested authors, however, after being reviewed, only 18 papers have been accepted. Two accepted papers were withdrawn by their authors by the time of publishing. There were two speakers sponsored by the vendors who gave inputs on topics relevant to the conference but not included in this proceeding. A total of 14 full papers are included in this publication which covers the section of Managing Libraries; Creativity and Innovation; Right Tool at the Right Time and Improve while Reduce

Information System Success Framework based on Interpersonal Conflict Factors

Information system success (ISS) has received considerable attention from researchers as it plays an important role in improving the efficiency and productivity of an organization. Several researchers have conducted empirical studies using numerous factors (e.g. organizational, technological, and individual factors) which affect the information system success. However, there are several factors which are related to interpersonal conflict which may affect information system success. The interpersonal conflict is a critical dimension which can greatly influence information system success in a competitive environment such as the financial sector. Therefore, this study introduces a framework to investigate the influence of interpersonal conflict factors on information system success in the Ministry of Finance, Yemen. The study employed a quantitative method which consists of the following steps: survey design, data collection and data analysis. A sample size comprising 130 employees were distributed in the Ministry of Finance, Yemen. Questionnaires were used to collect data from this sample. Data analysis (reliability, validity, correlation and factor analysis) has been carried out using SPSS.  In addition, structural equation modelling (SEM) has been used for evaluation the research model. Based on the experimental results, the findings in this study revealed that the interpersonal factors (interference, disagreement and instability) significantly negatively (at 0.05 level of significance) influence user satisfaction of information system success

Information quality assessment and effects on inventory decision-making

Information quality has become a critical concern to the success of organisations. Numerous business initiatives have been delayed or even cancelled, citing poor-quality information as the main reason. Previous research indicated that under-standing the effects of information quality is critical to the success of organisations. However, little research has been done to analyse the effects of information quality in an organisational context. In order to address this drawback, the objective of this thesis is to systematically analyse the effects of information quality on decision-making. In order to achieve this objective, we propose a practical assessment framework that allows us to measure information quality dimensions and categories. This framework was validated using a real-world database. With the help of this assessment framework we gained in-depth insights into the effects of information quality on decision quality. Our results showed that the categories of intrinsic and contextual information quality are positively related to decision quality. However decision quality is not significantly affected by representational information quality. It is also found that in contrast to consistency, increasing information accuracy and completeness can significantly improve decision quality. From our results we concluded that not all the aspects of information quality are equally effective for the improvement of decision quality. Decision-makers could decide to pay little or no attention to the improvement of representational information quality and information consistency. This finding will directly reduce the cost of information quality improvement. For practical implementations, our results concluded a validated framework that allows software engineers to implement assessment. Comparing our framework with other common frameworks that require soft-ware engineers to understand information quality theory, our framework helps soft-ware engineers to follow a step-by-step procedure to build an application of information quality assessment. It will directly increase software engineers' work efficiency

Content quality assessment related frameworks for social media

The assessment of content quality (CQ) in social media adds a layer of complexity over traditional information quality assessment frameworks. Challenges arise in accurately evaluating the quality of content that has been created by users from different backgrounds, for different domains and consumed by users with different requirements. This paper presents a comprehensive review of 19 existing CQ assessment related frameworks for social media in addition to proposing directions for framework improvements