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2014 IEEE 30th International Conference on Data Engineering Workshops

March 31 2014-April 4 2014

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Displaying Results 1 - 25 of 73
  • [USB label]

    Publication Year: 2014, Page(s): 1
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  • [Welcome]

    Publication Year: 2014, Page(s): 1
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  • Hub page

    Publication Year: 2014, Page(s): 1
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  • Session list

    Publication Year: 2014, Page(s): 1
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  • Table of contents

    Publication Year: 2014, Page(s):1 - 10
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  • Brief author index

    Publication Year: 2014, Page(s):1 - 5
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  • Detailed author index

    Publication Year: 2014, Page(s):1 - 33
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  • The end of indexes

    Publication Year: 2014, Page(s): 1
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  • About CP

    Publication Year: 2014, Page(s): 1
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  • Frequently asked questions

    Publication Year: 2014, Page(s):1 - 6
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  • 5th International Workshop on Graph Data Management: Techniques and applications (GDM 2014)

    Publication Year: 2014, Page(s):1 - 3
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  • BIIIG: Enabling business intelligence with integrated instance graphs

    Publication Year: 2014, Page(s):4 - 11
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1100 KB) | HTML iconHTML

    We propose a new graph-based framework for business intelligence called BIIIG supporting the flexible evaluation of relationships between data instances. It builds on the broad availability of interconnected objects in existing business information systems. Our approach extracts such interconnected data from multiple sources and integrates them into an integrated instance graph. To support specifi... View full abstract»

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  • Graph databases for large-scale healthcare systems: A framework for efficient data management and data services

    Publication Year: 2014, Page(s):12 - 19
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (371 KB) | HTML iconHTML

    Designing a database system for both efficient data management and data services has been one of the enduring challenges in the healthcare domain. In many healthcare systems, data services and data management are often viewed as two orthogonal tasks; data services refer to retrieval and analytic queries such as search, joins, statistical data extraction, and simple data mining algorithms, while da... View full abstract»

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  • On isomorphic matching of large disk-resident graphs using an XQuery engine

    Publication Year: 2014, Page(s):20 - 27
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (241 KB) | HTML iconHTML

    There exists an increasing interest in using graphs to model data, and managing them is a challenging research field. One of the major hurdles in large graph management and processing is our ability to store graphs on disk, and develop techniques that can process the data in their native representation on the disk. Currently, many powerful processing techniques only ensure efficient processing whi... View full abstract»

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  • Typing query languages for data graphs

    Publication Year: 2014, Page(s):28 - 31
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (278 KB) | HTML iconHTML

    Graph query languages are essentially untyped. The lack of type information greatly limits the optimization opportunities for query engines and makes application development more complex. In this paper we discuss a simple, yet expressive, schema language for edge-labelled data graphs. This schema language is, then, used to define a query type inference approach with good precision properties. View full abstract»

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  • Privacy-preserving reachability query services for sparse graphs

    Publication Year: 2014, Page(s):32 - 35
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (178 KB) | HTML iconHTML

    This paper studies privacy-preserving query services for reachability queries under the paradigm of data outsourcing. Specifically, graph data have been outsourced to a third-party service provider (SP), query clients submit their queries to the SP, and the SP returns the query answers. However, SP may not always be trustworthy. Therefore, this paper considers protecting the structural information... View full abstract»

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  • 10th International Workshop on Information Integration on the Web (IIWeb 2014)

    Publication Year: 2014, Page(s):36 - 38
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  • A hashtags dictionary from crowdsourced definitions

    Publication Year: 2014, Page(s):39 - 44
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (401 KB) | HTML iconHTML

    Hashtags are user-defined terms used on the Web to tag messages like microposts, as featured on Twitter. Because a hashtag is a textual word, its representation does not convey all the concepts it embodies. Several online dictionaries have been manually and collaboratively built to provide natural language definitions of hashtags. Unfortunately, these dictionaries in their rough form are inefficie... View full abstract»

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  • In schema matching, even experts are human: Towards expert sourcing in schema matching

    Publication Year: 2014, Page(s):45 - 49
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1440 KB) | HTML iconHTML

    Schema matching problems have been historically defined as a semi-automated task in which correspondences are generated by matching algorithms and subsequently validated by a single human expert. Emerging alternative models are based upon piecemeal human validation of algorithmic results and the usage of crowd based validation. We propose an alternative model in which human and algorithmic matcher... View full abstract»

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  • Semantic management of Enterprise Integration Patterns: A use case in Smart Grids

    Publication Year: 2014, Page(s):50 - 55
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (635 KB) | HTML iconHTML

    Enterprise Integration Patterns are a set of design patterns for linking multiple systems using asynchronous messaging interfaces. This approach to system integration is increasingly popular due to its relatively simple loose coupling requirement. Implementations of these patterns are available in current integration frameworks but these are not semantic in nature. This paper introduces the concep... View full abstract»

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  • Bootstrapping Wikipedia to answer ambiguous person name queries

    Publication Year: 2014, Page(s):56 - 61
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (359 KB) | HTML iconHTML

    Some of the main ranking features of today's search engines reflect result popularity and are based on ranking models, such as PageRank, implicit feedback aggregation, and more. While such features yield satisfactory results for a wide range of queries, they aggravate the problem of search for ambiguous entities: Searching for a person yields satisfactory results only if the person in question is ... View full abstract»

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  • Mapping abstract queries to big data web resources for on-the-fly data integration and information retrieval

    Publication Year: 2014, Page(s):62 - 67
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (162 KB) | HTML iconHTML

    The emergence of technologies such as XML, web services and cloud computing have helped, the proliferation of databases and their diversity pose serious barriers to meaningful information extraction from these “big databases”. Research in intention recognition has also progressed substantially, yet very little has been done to recognize query intents to search, select, map and extrac... View full abstract»

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  • Scholarly big data information extraction and integration in the CiteSeerχ digital library

    Publication Year: 2014, Page(s):68 - 73
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (371 KB) | HTML iconHTML

    CiteSeerχ is a digital library that contains approximately 3.5 million scholarly documents and receives between 2 and 4 million requests per day. In addition to making documents available via a public Website, the data is also used to facilitate research in areas like citation analysis, co-author network analysis, scalability evaluation and information extraction. The papers in C... View full abstract»

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  • Aggregation of similarity measures in schema matching based on generalized mean

    Publication Year: 2014, Page(s):74 - 79
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (322 KB) | HTML iconHTML

    Schema matching represents a critical step to integrate heterogeneous e-Business and shared-data applications. Most existing schema matching approaches rely heavily on similarity-based techniques, which attempt to discover correspondences based on various element similarity measures, each computed by an individual base matcher. It has been accepted that aggregating results of multiple base matcher... View full abstract»

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  • A tool for personal data extraction

    Publication Year: 2014, Page(s):80 - 83
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB) | HTML iconHTML

    Digital storage now acts as an archive of the memories of users worldwide, keeping record of data as well as the context in which the data was acquired. The massive amount of data available and the fact that it is fragmented across many services (e.g., Facebook) and devices (e.g., laptop) make it very difficult for users to find specific pieces of information that they remember having stored or ac... View full abstract»

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