Abstract Debates on managing electronic records does not seem to end. Various issues and challenges arouse following contradicting concept, non-standard approaches and unsynchonised standards. Some are technical while others are conceptual. Academic institutions and professional bodies undertake various projects with the intention to seek for the best appropriate method and also the most acceptable concept to execute the endeavor But none... Debates on managing electronic records does not seem to end. Various issues and challenges arouse following contradicting concept, non-standard approaches and unsynchonised standards. Some are technical while others are conceptual. Academic institutions and professional bodies undertake various projects with the intention to seek for the best appropriate method and also the most acceptable concept to execute the endeavor But none of these has remarkable success. Nonetheless, efforts are continually taken to come to the most agreeable and acceptable approach. Read More Read Less

Abstract This paper reports an investigation of the search behaviour patterns of nanoscience and nanotechnology searchers as revealed by transaction log analysis of the NANOnetBASE electronic book digital library. In particular, it examines the search and query reformulation patterns and strategies of nano searchers. The results show certain query formulation and reformulation patterns associated with searching in an emerging and interdisciplinary... This paper reports an investigation of the search behaviour patterns of nanoscience and nanotechnology searchers as revealed by transaction log analysis of the NANOnetBASE electronic book digital library. In particular, it examines the search and query reformulation patterns and strategies of nano searchers. The results show certain query formulation and reformulation patterns associated with searching in an emerging and interdisciplinary area of nanotechnology such as: the use of multiword and compound query terms, extensive use of search terms beginning with the prefix ‘nano’, hyphenated terms, spelling variations, a large number of query reformulations, and the use of acronyms. Read More Read Less

Abstract The evolutionary nature of the web and the massive amounts of information posted on daily basis make it necessary to continuously attempt to improve the relevancy of web search results. Finding results that best suit the needs of every individual is a very challenging problem. In most cases, what users attempt to achieve on the web is beyond a simple... The evolutionary nature of the web and the massive amounts of information posted on daily basis make it necessary to continuously attempt to improve the relevancy of web search results. Finding results that best suit the needs of every individual is a very challenging problem. In most cases, what users attempt to achieve on the web is beyond a simple request that can be answered through submitting a simple search query. The concept of a task has been of interest to those attempting to improve the effectiveness of users retrieving web information. In this paper, the most common type of task on the web which is information gathering was taken into consideration. The research presented here concerns a visual interface that uses visualization, visual query reformulation, and visual clustering as factors intended to improve the process of web information gathering. A user study was conducted to evaluate the Visual Search Engine (VSE). The results indicate that the use of visual features improved the effectiveness of users gathering web information. The VSE was compared to Google in the study. The paper presents recommendations for future research directions. Read More Read Less

Abstract After the rise of Web 2.0 technologies, Folksonomy emerged as one of the most popular user-centric information organization techniques in the newly reforming digital world. In the context of the rising popularity of folksonomies, this paper conceptually investigates – how can folksonomies be integrated with other ways of organizing information for building systems that could serve information users better in... After the rise of Web 2.0 technologies, Folksonomy emerged as one of the most popular user-centric information organization techniques in the newly reforming digital world. In the context of the rising popularity of folksonomies, this paper conceptually investigates – how can folksonomies be integrated with other ways of organizing information for building systems that could serve information users better in the future? A set of experimentation ideas of integrating folksonomy with controlled vocabularies, bibliometric maps, thesaurus-based systems, ontologies, and semantic web could inform and catalyze the design and development of folksonomy-based user-centric information organization systems in the future. Read More Read Less

Abstract Non-text user generated content (UGC), such as videos and images, is usually searched by metadata. Metadata, such as title, tags, and description, is created by users whenever content is uploaded. However, in many cases metadata can have multiple meanings. This requires users to spend time sifting through a long list of search results until they can find all the content... Non-text user generated content (UGC), such as videos and images, is usually searched by metadata. Metadata, such as title, tags, and description, is created by users whenever content is uploaded. However, in many cases metadata can have multiple meanings. This requires users to spend time sifting through a long list of search results until they can find all the content for which they were actually looking. In order to address this limitation, we suggest an algorithm to cluster search results using keyword similarity. Clustering search results from YouTube are accomplished by using the Markov clustering algorithm, which helps users to quickly and easily find what they want. Finally, we conclude by evaluating the performance results of our clustering algorithm. Read More Read Less

Abstract This paper reports an investigation of the search behaviour patterns of nanoscience and nanotechnology searchers as revealed by transaction log analysis of the NANOnetBASE electronic book digital library. In particular, it examines the search and query reformulation patterns and strategies of nano searchers. The results show certain query formulation and reformulation patterns associated with searching in an emerging and interdisciplinary area of nanotechnology such... This paper reports an investigation of the search behaviour patterns of nanoscience and nanotechnology searchers as revealed by transaction log analysis of the NANOnetBASE electronic book digital library. In particular, it examines the search and query reformulation patterns and strategies of nano searchers. The results show certain query formulation and reformulation patterns associated with searching in an emerging and interdisciplinary area of nanotechnology such as: the use of multiword and compound query terms, extensive use of search terms beginning with the prefix ‘nano’, hyphenated terms, spelling variations, a large number of query reformulations, and the use of acronyms. Read More Read Less

Abstract The evolutionary nature of the web and the massive amounts of information posted on daily basis make it necessary to continuously attempt to improve the relevancy of web search results. Finding results that best suit the needs of every individual is a very challenging problem. In most cases, what users attempt to achieve on the web is beyond a simple request that can... The evolutionary nature of the web and the massive amounts of information posted on daily basis make it necessary to continuously attempt to improve the relevancy of web search results. Finding results that best suit the needs of every individual is a very challenging problem. In most cases, what users attempt to achieve on the web is beyond a simple request that can be answered through submitting a simple search query. The concept of a task has been of interest to those attempting to improve the effectiveness of users retrieving web information. In this paper, the most common type of task on the web which is information gathering was taken into consideration. The research presented here concerns a visual interface that uses visualization, visual query reformulation, and visual clustering as factors intended to improve the process of web information gathering. A user study was conducted to evaluate the Visual Search Engine (VSE). The results indicate that the use of visual features improved the effectiveness of users gathering web information. The VSE was compared to Google in the study. The paper presents recommendations for future research directions Read More Read Less

Abstract After the rise of Web 2.0 technologies, Folksonomy emerged as one of the most popular user-centric information organization techniques in the newly reforming digital world. In the context of the rising popularity of folksonomies, this paper conceptually investigates – how can folksonomies be integrated with other ways of organizing information for building systems that could serve information users better in the future? A... After the rise of Web 2.0 technologies, Folksonomy emerged as one of the most popular user-centric information organization techniques in the newly reforming digital world. In the context of the rising popularity of folksonomies, this paper conceptually investigates – how can folksonomies be integrated with other ways of organizing information for building systems that could serve information users better in the future? A set of experimentation ideas of integrating folksonomy with controlled vocabularies, bibliometric maps, thesaurus-based systems, ontologies, and semantic web could inform and catalyze the design and development of folksonomy-based user-centric information organization systems in the future. Read More Read Less

Abstract Non-text user generated content (UGC), such as videos and images, is usually searched by metadata. Metadata, such as title, tags, and description, is created by users whenever content is uploaded. However, in many cases metadata can have multiple meanings. This requires users to spend time sifting through a long list of search results until they can find all the content for which they... Non-text user generated content (UGC), such as videos and images, is usually searched by metadata. Metadata, such as title, tags, and description, is created by users whenever content is uploaded. However, in many cases metadata can have multiple meanings. This requires users to spend time sifting through a long list of search results until they can find all the content for which they were actually looking. In order to address this limitation, we suggest an algorithm to cluster search results using keyword similarity. Clustering search results from YouTube are accomplished by using the Markov clustering algorithm, which helps users to quickly and easily find what they want. Finally, we conclude by evaluating the performance results of our clustering algorithm. Read More Read Less