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212
Stuff I've seen: A system for personal information retrieval and re-use
- SIGIR '03
, 2003
"... 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 Iâve Seen (SIS), that facilitates information re-use. Th ..."
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Cited by 350 (9 self)
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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 Iâve 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.
Passive capture and ensuing issues for a personal lifetime store
, 2004
"... Passive capture lets people record their experiences without having to operate recording equipment, and without even having to give recording conscious thought. The advantages are increased capture, and improved participation in the event itself. However, passive capture also presents many new chall ..."
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Cited by 104 (7 self)
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Passive capture lets people record their experiences without having to operate recording equipment, and without even having to give recording conscious thought. The advantages are increased capture, and improved participation in the event itself. However, passive capture also presents many new challenges. One key challenge is how to deal with the increased volume of media for retrieval, browsing, and organizing. This paper describes the SenseCam device, which combines a camera with a number of sensors in a pendant worn around the neck. Data from SenseCam is uploaded into a MyLifeBits repository, where a number of features, but especially correlation and relationships, are used to manage the data.
Geographic location tags on digital images
- In MULTIMEDIA ’03: Proceedings of the eleventh ACM international conference on Multimedia, ACM
"... ABSTRACT We describe an end-to-end system that capitalizes on geographic location tags for digital photographs. The World Wide Media eXchange (WWMX) database indexes large collections of image media by several pieces of metadata including timestamp, owner, and critically, location stamp. The locati ..."
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Cited by 101 (0 self)
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ABSTRACT We describe an end-to-end system that capitalizes on geographic location tags for digital photographs. The World Wide Media eXchange (WWMX) database indexes large collections of image media by several pieces of metadata including timestamp, owner, and critically, location stamp. The location where a photo was shot is important because it says much about its semantic content, while being relatively easy to acquire, index, and search. The process of building, browsing, and writing applications for such a database raises issues that have heretofore been unaddressed in either the multimedia or the GIS community. This paper brings all of these issues together, explores different options, and offers novel solutions where necessary. Topics include acquisition of location tags for image media, data structures for location tags on photos, database optimization for location-tagged image media, and an intuitive UI for browsing a massive location-tagged image database. We end by describing an application built on top of the WWMX, a lightweight travelogue-authoring tool that automatically creates appropriate context maps for a slideshow of location-tagged photographs.
Connections: using context to enhance file search
- In Proceedings of the 20th ACM Symposium on Operating Systems Principles (SOSP ’05
, 2005
"... Connections is a file system search tool that combines traditional content-based search with context information gathered from user activity. By tracing file system calls, Connections can identify temporal relationships between files and use them to expand and reorder traditional content search resu ..."
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Cited by 91 (6 self)
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Connections is a file system search tool that combines traditional content-based search with context information gathered from user activity. By tracing file system calls, Connections can identify temporal relationships between files and use them to expand and reorder traditional content search results. Doing so improves both recall (reducing falsepositives) and precision (reducing false-negatives). For example, Connections improves the average recall (from 13% to 22%) and precision (from 23 % to 29%) on the first ten results. When averaged across all recall levels, Connections improves precision from 17 % to 28%. Connections provides these benefits with only modest increases in average query time (2 seconds), indexing time (23 seconds daily), and index size (under 1 % of the user’s data set).
Configuration Debugging as Search: Finding the Needle in the Haystack
- In OSDI
, 2004
"... This work addresses the problem of diagnosing configuration errors that cause a system to function incorrectly. For example, a change to the local firewall policy could cause a network-based application to malfunction. Our approach is based on searching across time for the instant the system transit ..."
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Cited by 85 (1 self)
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This work addresses the problem of diagnosing configuration errors that cause a system to function incorrectly. For example, a change to the local firewall policy could cause a network-based application to malfunction. Our approach is based on searching across time for the instant the system transitioned into a failed state. Based on this information, a troubleshooter or administrator can deduce the cause of failure by comparing system state before and after the failure. We present the Chronus tool, which automates the task of searching for a failure-inducing state change. Chronus takes as input a user-provided software probe, which differentiates between working and non-working states. Chronus performs “time travel ” by booting a virtual machine off the system’s disk state as it existed at some point in the past. By using binary search, Chronus can find the fault point with effort that grows logarithmically with log size. We demonstrate that Chronus can diagnose a range of common configuration errors for both client-side and server-side applications, and that the performance overhead of the tool is not prohibitive. 1
A Platform for Personal Information Management and Integration
"... The explosion of the amount of information available in digital form has made search a hot research topic for the Information Management Community. While most of the research on search is focused on the WWW, individual computer users have developed their own vast collections of data on their desktop ..."
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Cited by 74 (6 self)
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The explosion of the amount of information available in digital form has made search a hot research topic for the Information Management Community. While most of the research on search is focused on the WWW, individual computer users have developed their own vast collections of data on their desktops, and these collections are in critical need for good search tools. We describe the Semex System that offers users a flexible platform for personal information management. Semex has two main goals. The first goal is to enable browsing personal information by semantically meaningful associations. The challenge it to automatically create such associations between data items on one’s desktop, and to create enough of them so Semex becomes an indispensable tool. Our second goal is to leverage the personal information space we created to increase users ’ productivity. As our first target, Semex leverages the personal information to enable lightweight information integration tasks that are discouragingly difficult to perform with today’s tools.
Context data in geo-referenced digital photo collections
- In Proceedings of the 12th annual ACM International Conference on Multimedia
, 2004
"... Given time and location information about digital photographs we can automatically generate an abundance of related contextual metadata, using off-the-shelf and Web-based data sources. Among these are the local daylight status and weather conditions at the time and place a photo was taken. This meta ..."
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Cited by 52 (3 self)
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Given time and location information about digital photographs we can automatically generate an abundance of related contextual metadata, using off-the-shelf and Web-based data sources. Among these are the local daylight status and weather conditions at the time and place a photo was taken. This metadata has the potential of serving as memory cues and filters when browsing photo collections, especially as these collections grow into the tens of thousands and span dozens of years. We describe the contextual metadata that we automatically assemble for a photograph, given time and location, as well as a browser interface that utilizes that metadata. We then present the results of a user study and a survey that together expose which categories of contextual metadata are most useful for recalling and finding photographs. We identify among still unavailable metadata categories those that are most promising to develop next.
Overview and Outlook on the Semantic Desktop
- In Proc. of Semantic Desktop Workshop at the ISWC
, 2005
"... Abstract. In this paper we will give an overview of the Semantic Desktop paradigm, beginning with the history of the term, a definition, current work and its relevance to knowledge management of the future. Existing applications and research results are listed and their role as building blocks of th ..."
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Cited by 51 (10 self)
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Abstract. In this paper we will give an overview of the Semantic Desktop paradigm, beginning with the history of the term, a definition, current work and its relevance to knowledge management of the future. Existing applications and research results are listed and their role as building blocks of the future Semantic Desktop described. Based on the analysis of existing systems we propose two software architecture paradigms, one for the Semantic Desktop at large and another for applications running on a Semantic Desktop. A view on the context aspect of the Semantic Desktop and the Knowledge Management aspect is given. Based on the current events and projects, we give an outlook on the next steps. 1
