http://www.bibsonomy.org/burst/concept/tag/SemistructuredBibSonomy BuRST Feed for /concept/tag/Semistructured2008-10-16T08:55:46+02:00Principles of dataspace systemshttp://www.bibsonomy.org/bibtex/20e779abfc783d5ba5baa53bd7a35a121/jhammerbjhammerb2007-12-06T04:20:38+01:00semistructured sigmod information_retrieval data_management database <span style="color:#555555;">Alon <a href="http://www.bibsonomy.org/author/Halevy">Halevy</a> und Michael <a href="http://www.bibsonomy.org/author/Franklin">Franklin</a> und David <a href="http://www.bibsonomy.org/author/Maier">Maier</a> </span><em>PODS '06: Proceedings of the twenty-fifth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, </em><em>Seite1--9. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2006</em>)Thu Dec 06 04:20:38 CET 2007New York, NY, USAPODS '06: Proceedings of the twenty-fifth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems1--9Principles of dataspace systems2006semistructured sigmod information_retrieval data_management database The most acute information management challenges today stem from organizations relying on a large number of diverse, interrelated data sources, but having no means of managing them in a convenient, integrated, or principled fashion. These challenges arise in enterprise and government data management, digital libraries, "smart" homes and personal information management. We have proposed dataspaces as a data management abstraction for these diverse applications and DataSpace Support Platforms (DSSPs) as systems that should be built to provide the required services over dataspaces. Unlike data integration systems, DSSPs do not require full semantic integration of the sources in order to provide useful services. This paper lays out specific technical challenges to realizing DSSPs and ties them to existing work in our field. We focus on query answering in DSSPs, the DSSP's ability to introspect on its content, and the use of human attention to enhance the semantic relationships in a dataspace.From databases to dataspaceshttp://www.bibsonomy.org/bibtex/2da9648f4325bab61693a148a72728ae1/jhammerbjhammerb2007-12-06T04:19:51+01:00semistructured information_retrieval data_quality data_management database <span style="color:#555555;">Michael <a href="http://www.bibsonomy.org/author/Franklin">Franklin</a> und Alon <a href="http://www.bibsonomy.org/author/Halevy">Halevy</a> und David <a href="http://www.bibsonomy.org/author/Maier">Maier</a> </span><em>SIGMOD Rec.</em><em>34(4):27--33</em>(<em>2005</em>)Thu Dec 06 04:19:51 CET 2007New York, NY, USASIGMOD Rec.427--33From databases to dataspaces: a new abstraction for information management342005semistructured information_retrieval data_quality data_management database The development of relational database management systems served to focus the data management community for decades, with spectacular results. In recent years, however, the rapidly-expanding demands of "data everywhere" have led to a field comprised of interesting and productive efforts, but without a central focus or coordinated agenda. The most acute information management challenges today stem from organizations (e.g., enterprises, government agencies, libraries, "smart" homes) relying on a large number of diverse, interrelated data sources, but having no way to manage their dataspaces in a convenient, integrated, or principled fashion. This paper proposes dataspaces and their support systems as a new agenda for data management. This agenda encompasses much of the work going on in data management today, while posing additional research objectives.http://www.bibsonomy.org/bibtex/28ac7a448b1a2acbed55cef0a12e1dfba/jhammerbjhammerb2007-12-06T03:37:50+01:00semistructured information_retrieval search large_scale database <span style="color:#555555;">S. <a href="http://www.bibsonomy.org/author/Chaudhuri">Chaudhuri</a> und R. <a href="http://www.bibsonomy.org/author/Ramakrishnan">Ramakrishnan</a> und G. <a href="http://www.bibsonomy.org/author/Weikum">Weikum</a> </span>(<em>2005</em>)Thu Dec 06 03:37:50 CET 2007{Integrating DB and IR Technologies: What is the Sound of One Hand Clapping}2005semistructured information_retrieval search large_scale database Welcome to IEEE Xplore 2.0: Learning object models from semistructured Web documentshttp://www.bibsonomy.org/bibtex/2b5a66554b18c9aa5ac27306fb81917e8/wnpxrzwnpxrz2007-11-03T17:31:58+01:00document semistructured machinelearning web imported <span style="color:#555555;">S. <a href="http://www.bibsonomy.org/author/Ye">Ye</a> und T.-S. <a href="http://www.bibsonomy.org/author/Chua">Chua</a> </span>(<em>2006</em>)Sat Nov 03 17:31:58 CET 2007Transactions on Knowledge and Data Engineering334- 349Learning object models from semistructured Web documents182006document semistructured machinelearning web imported This paper presents an automated approach to learning object models by means of useful object data extracted from data-intensive semistructured Web documents such as product descriptions. Modeling intensive data on the Web involves the following three phrases: first, we identify the object region covering the descriptions of object data when irrelevant contents from the Web documents are excluded. Second, we partition the contents of different object data appearing in the object region and construct object data using hierarchical XML outputs. Third, we induce the abstract object model from the analogous object data. This model would match the corresponding object data from a Web site more precisely and comprehensively than the existing handcrafted ontologies. The main contribution of this study is in developing a fully automated approach to extract object data and object model from semistructured Web documents using kernel-based matching and view syntax interpretation. Our system, OnModer, can automatically construct object data and induce object models from complicated Web documents, such as the technical descriptions of personal computers and digital cameras downloaded from manufacturers' and vendors' sites. A comparison with the available hand-crafted ontologies and tests on an open corpus demonstrate that our framework is effective in extracting meaningful and comprehensive models.http://www.bibsonomy.org/bibtex/264e82e1582dc2567df447a0b39edb31a/yijunyuyijunyu2007-03-17T15:34:03+01:00semistructured data context <span style="color:#555555;">Yannis <a href="http://www.bibsonomy.org/author/Stavrakas">Stavrakas</a> und Kostis <a href="http://www.bibsonomy.org/author/Pristouris">Pristouris</a> und Antonis <a href="http://www.bibsonomy.org/author/Efandis">Efandis</a> und Timos <a href="http://www.bibsonomy.org/author/Sellis">Sellis</a> </span><em>East-European Conference on Advances in Databases and Information Systems (ADBIS 2004), </em><em>Budapest, Hungary, </em><em>September2004. </em>Sat Mar 17 15:34:03 CET 2007Budapest, HungaryEast-European Conference on Advances in Databases and Information Systems (ADBIS 2004)SeptemberImplementing a Query Language for Context-dependent Semistructured Data2004semistructured data context http://www.bibsonomy.org/bibtex/2913bfd5965ad54bb09847d66765bcc04/vrandezovrandezo2007-02-21T12:09:45+01:00scalability google semistructured distributed <span style="color:#555555;">Fay <a href="http://www.bibsonomy.org/author/Chang">Chang</a> und Jeffrey <a href="http://www.bibsonomy.org/author/Dean">Dean</a> und Sanjay <a href="http://www.bibsonomy.org/author/Ghemawat">Ghemawat</a> und Wilson C. <a href="http://www.bibsonomy.org/author/Hsieh">Hsieh</a> und Deborah A. <a href="http://www.bibsonomy.org/author/Wallach">Wallach</a> und Mike <a href="http://www.bibsonomy.org/author/Burrows">Burrows</a> und Tushar <a href="http://www.bibsonomy.org/author/Chandra">Chandra</a> und Andrew <a href="http://www.bibsonomy.org/author/Fikes">Fikes</a> und Robert E. <a href="http://www.bibsonomy.org/author/Gruber">Gruber</a> </span><em>OSDI'06: Seventh Symposium on Operating System Design and Implementation, Seattle, WA, November, 2006, </em><em>Seite205--218. </em>(<em>2006</em>)Wed Feb 21 12:09:45 CET 2007OSDI'06: Seventh Symposium on Operating System Design and Implementation, Seattle, WA, November, 2006205--218Bigtable: A Distributed Storage System for Structured Data2006scalability google semistructured distributed http://www.bibsonomy.org/bibtex/2b6dca810d0efa05cda5a7297e2fd6dd8/schmitzschmitz2006-07-04T16:33:03+02:00Semistructured Data Model Matching, Databases, Heterogeneous Management, <span style="color:#555555;">S. <a href="http://www.bibsonomy.org/author/Melnik">Melnik</a> und H. <a href="http://www.bibsonomy.org/author/Garcia-Molina">Garcia-Molina</a> und E. <a href="http://www.bibsonomy.org/author/Rahm">Rahm</a> </span><em>Proc. 18th ICDE Conf., </em>(<em>2001</em>)Tue Jul 04 16:33:03 CEST 2006{Proc. 18th ICDE Conf.}Similarity Flooding: A Versatile Graph Matching Algorithm2001Semistructured Data Model Matching, Databases, Heterogeneous Management,