Curated web archive collections contain focused digital content which is collected by archiving organizations, groups, and individuals to provide a representative sample covering specific topics and events to preserve them for future exploration and analysis. In this paper, we discuss how to best support collaborative construction and exploration of these collections through the ArchiveWeb system. ArchiveWeb has been developed using an iterative evaluation-driven design-based research approach, with considerable user feedback at all stages. The first part of this paper describes the important insights we gained from our initial requirements engineering phase during the first year of the project and the main functionalities of the current ArchiveWeb system for searching, constructing, exploring, and discussing web archive collections. The second part summarizes the feedback we received on this version from archiving organizations and libraries, as well as our corresponding plans for improving and extending the system for the next release.
@cite_5: Systems for fast search of personal information are rapidly becoming ubiquitous. Such systems promise to dramatically improve personal information management, yet most are modeled on Web search in which users know very little about the content that they are searching. We describe the design and deployment of a system called Phlat that optimizes search for personal information with an intuitive interface that merges search and browsing through a variety of associative and contextual cues. In addition, Phlat supports a unified tagging (labeling) scheme for organizing personal content across storage systems (files, email, etc.). The system has been deployed to hundreds of employees within our organization. We report on both quantitative and qualitative aspects of system use. Phlat is available as a free download at http: research.microsoft.com adapt phlat.
@cite_10: This paper discusses the development of LearnWeb2.0, a search and collaboration environment for supporting searching, organizing, and sharing distributed resources, and our pedagogical setup based on the multiliteracies approach. In LearnWeb2.0, collaborative and active learning is supported through project-focused search and aggregation, with discussion and comments directly linked to the resources. We are developing the LearnWeb2.0 platform through an iterative evaluation-driven design-based research approach - this paper describes the first iteration and part of the second one. In the first iteration, we developed LearnWeb2.0 and evaluated it in two Content and Language Integrated Learning (CLIL) courses We followed the multiliteracies approach, using authentic content from a variety of sources and contexts to provide important input for CLIL. We present evaluation design and results for both courses, and discuss how the differences in both scenarios influenced student performance and satisfaction. In the second iteration, we improved LearnWeb2.0 based on these experiences - we describe improvements as well as problems addressed. Finally, we sketch the evaluation planned for the second cycle, and close with a reflection of our experiences with the design-based research approach for developing a collaborative learning environment, and on multiliteracies as a suitable approach for CLIL.
@cite_11: Most information retrieval technologies are designed to facilitate information discovery. However, much knowledge work involves finding and re-using previously seen information. We describe the design and evaluation of a system, called Stuff I've Seen (SIS), that facilitates information re-use. This is accomplished in two ways. First, the system provides a unified index of information that a person has seen, whether it was seen as email, web page, document, appointment, etc. Second, because the information has been seen before, rich contextual cues can be used in the search interface. The system has been used internally by more than 230 employees. We report on both qualitative and quantitative aspects of system use. Initial findings show that time and people are important retrieval cues. Users find information more easily using SIS, and use other search tools less frequently after installation.
All of the above tools and interfaces help support the exploration and search of web archives for individual users and researchers. In addition, ArchiveWeb aims at supporting the collaborative exploration of web archives. Previous research on helping users keep track of their resources includes tools that provide better search and organizational facilities based on metadata time @cite_11 or tagging @cite_5 . Our system provides similar organizational functionalities refined through close collaboration with several learning communities and previous work on the LearnWeb platform @cite_10 , thus gaining advantage from several years of development and user feedback in that context. ArchiveWeb builds on the LearnWeb experience which already supports collaborative sensemaking by allowing users to share and collaboratively work on resources retrieved from various web sources.