Semantic file systems

Gifford, David K.; Jouvelot, Pierre; Sheldon, Mark A.; O’Toole, James W.

doi:10.1145/121132.121138

Cited by 219 publications

(138 citation statements)

References 7 publications

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“…For example "I remember writing that report roughly around the same time as I attended the conference in Sweden". Information object properties have also been suggested as means to store and access personal information [Gifford et al 1991, Dourish et al 2000, Adar et al 1999]; this represents a semantic dimension exploiting recollections such as "That paper is very long, but highly related to Jim's work".…”

Section: Discussionmentioning

confidence: 99%

Towards memory supporting personal information management tools

Elsweiler

Ruthven

Jones

2007

J. Am. Soc. Inf. Sci.

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In this article we discuss re-retrieving personal information objects and relate the task to recovering from lapse(s) in memory. We propose that fundamentally it is lapses in memory that impede users from successfully re-finding the information they need. Our hypothesis is that by learning more about memory lapses in non-computing contexts and how people cope and recover from these lapses, we can better inform the design of PIM tools and improve the user's ability to re-access and re-use objects. We describe a diary study that investigates the everyday memory problems of 25 people from a wide range of backgrounds. Based on the findings, we present a series of principles that we hypothesize will improve the design of personal information management tools. This hypothesis is validated by an evaluation of a tool for managing personal photographs, which was designed with respect to our findings. The evaluation suggests that users' performance when re-finding objects can be improved by building personal information management tools to support characteristics of human memory.

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Section: Discussionmentioning

confidence: 99%

Towards memory supporting personal information management tools

Elsweiler

Ruthven

Jones

2007

J. Am. Soc. Inf. Sci.

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“…Nearest neighbor search [10] finds closest point. Closeness is measured in the terms of dissimilarity function.…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

A Survey on Different File System Approach

Parkhi¹,

Kute²

2015

IJCA

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This paper, provide survey of the proposed namespace management schemes for file system. Namespace management can be used to reduce exhaustive search over all directories. Namespace using semantic correlation can also increase search ability. File system namespace as an information organizing infrastructure is a help to improve system's quality of service such as performance, scalability, and ease of use. This paper discusses the improvement to be made for future proposed namespace schemes. This paper provides reader with the basis for research in namespace schemes for file system.

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“…Semantic File Systems [13] provided that functionality by placing attribute-based naming into path expressions. The Logic File System [14] provided and interface that use boolean algebra expressions for defining multiple views of files.…”

Section: Related Workmentioning

confidence: 99%

QMDS: a file system metadata management service supporting a graph data model-based query language

Ames

Gokhale

Maltzahn

2013

International Journal of Parallel, Emergent and Distributed Sys

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File system metadata management has become a bottleneck for many data-intensive applications that rely on high-performance file systems. Part of the bottleneck is due to the limitations of an almost 50 year old interface standard with metadata abstractions that were designed at a time when high-end file systems managed less than 100MB. Today's highperformance file systems store 7 to 9 orders of magnitude more data, resulting in numbers of data items for which these metadata abstractions are inadequate, such as directory hierarchies unable to handle complex relationships among data. Users of file systems have attempted to work around these inadequacies by moving application-specific metadata management to relational databases to make metadata searchable. Splitting file system metadata management into two separate systems introduces inefficiencies and systems management problems.To address this problem, we propose QMDS: a file system metadata management service that integrates all file system metadata and uses a graph data model with attributes on nodes and edges. Our service uses a query language interface for file identification and attribute retrieval. We present our metadata management service design and architecture and study its performance using a text analysis benchmark application. Results from our QMDS prototype show the effectiveness of this approach. Compared to the use of a file system and relational database, the QMDS prototype shows superior performance for both ingest and query workloads.

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Semantic file systems

Abstract: A semantic jile s~stem is an information storage system

Cited by 219 publications

References 7 publications

Towards memory supporting personal information management tools

Towards memory supporting personal information management tools

A Survey on Different File System Approach

QMDS: a file system metadata management service supporting a graph data model-based query language

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