Editorial

Citation

Khalil, I. (2011), "Editorial", International Journal of Web Information Systems, Vol. 7 No. 4. https://doi.org/10.1108/ijwis.2011.36207daa.001

Editorial

Article Type: Editorial From: International Journal of Web Information Systems, Volume 7, Issue 4

Five papers are included in this issue. The first paper is a “Survey on information re-finding techniques” by Tangjian Deng and Ling Feng which provides a comprehensive review of the subject of information re-finding, and introduces the underlying techniques and mechanisms used in information re-finding. The article studies the natural way of re-finding in human memory, and reviews the state-of-the-art techniques and tools developed in the fields of web and personal information management for information re-finding. By applying the recalling mechanisms in human memory, the method of recall-by-context can make users feel easy to re-find information in both fields of web usage and personal information management.

The second paper by Brent Wenerstrom and Mehmed Kantardzic is about “ReClose: web page summarization combining summary techniques” in which the authors propose a new summary generation technique called ReClose (linear Regression and CLOSEness centrality). ReClose combines two types of summaries into a single summary, which will enable users to estimate more accurately the content of summarized web pages. More accurate user expectations will lead to fewer disappointments, and in general better user satisfaction in search engine user experiences. By surveying 34 participants, individuals using ReClose summaries showed a 10 per cent increase in the expectation accuracy over individuals using Google summaries, and therefore better user satisfaction.

The third paper by Atsushi Keyaki, Kenji Hatano and Jun Miyzaki proposes a method for improving the effectiveness of XML element search by identifying the XML elements that are relevant to a given query which are sorted to generate a refined ranked list. The experimental results show that this method is more effective than the traditional approaches and that the accuracy of an XML element search can be improved by reconstructing the XML elements and emphasizing the informative ones by applying the statistics of the descendant XML elements.

The fourth paper by Shusuke Okamoto and Masaki Kohana proposes a load distribution technique for a web server. It utilizes web workers, a new feature of Javascript, to define an application programming interface for running scripts in background threads and can be implemented on some web browsers such as Google Chrome and Firefox. The results of the experiments indicate that this technique decreased the CPU usage and increased the communication load of the server. As a result, the retrieval time from server is reduced and the server load is distributed effectively. The effect appears when there are large numbers of NPCs on the system. The last paper by Edelweis Rohrer, Regina Motz and Alicia Diaz proposes an ontology network-based process for web site recommendation modelling. The ontology network conceptualizes the different domains (web site domain, quality assurance domain, user context domain, recommendation criteria domain, specific domain) in a set of interrelated ontologies. The proposed model represents explicitly the criteria used by the recommender systems, that expresses the quality dimensions of resources and on which criteria are applied, and consider the user context at the moment of the query.

Ismail KhalilCo-Editor-in-Chief