NDLI: Tracking semantic relationships for effective data management in home networks

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Tracking semantic relationships for effective data management in home networks

Content Provider	ACM Digital Library
Author	Gember, Aaron Akella, Aditya Sekar, Vyas Anand, Ashok
Abstract	The amount of data that home users generate, store, and peruse has grown significantly in the past few years. Increasingly, organizing this huge amount of data - in order to make it easy to browse, query and access - is becoming challenging. Many recent proposals have emphasized the importance of data management in home networks and proposed mechanisms for managing replicas across devices to increase availability. Essentially, they capture the relationship "is copy of" between files across devices. However, files can be semantically related. Users are often interested in finding data that has such semantic relationships; tracking these relationships helps users to effectively search based on content or human-understandable context, organize data and manage the limited storage while ensuring availability of information. However, inferring semantic relationships just based on user-defined tags and file names can be challenging, since users may not follow any standard or unique naming conventions. We argue that such semantic relationships should be derived on the basis of content itself, and propose to leverage recent developments in multimedia processing literature, with minimal user involvement. The decentralized, heterogeneous and dynamic operational environment of home networks present interesting systems and network challenges. In this paper, we have highlighted several candidate designs and system-optimizations that can help build an effective semantic-aware data management for home networks. As ongoing work, we are working on a prototype implementation of a decentralized data management system.
Starting Page	49
Ending Page	54
Page Count	6
File Format	PDF
ISBN	9781450301985
DOI	10.1145/1851307.1851320
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-09-03
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Content fingerprinting Retrieval Data management Home networks
Content Type	Text
Resource Type	Article

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