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<rss version="2.0"><channel><title>bibbase.org</title><link>http://www.bibbase.org</link><description>Publications Feed. Showing publications since 2011.</description><lastBuildDate>Sat, 25 May 2013 12:52:24 GMT</lastBuildDate><generator>PyRSS2Gen-1.0.0</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>Extending Semantic Provenance into the Web of Data</title><link>http://www.bibbase.org/cache/data.bibbase.org_author_amit-sheth__3Fformat_3Dbibtex/10.1109/MIC.2011.7.html</link><description>&lt;span class='bibbase_paper_titleauthoryear'&gt;&lt;span class='bibbase_paper_title' onclick="window.location.href='http://www.bibbase.org/cache/data.bibbase.org_author_amit-sheth__3Fformat_3Dbibtex/10.1109_MIC.2011.7.html'" style="cursor: pointer; cursor: hand;"&gt;Extending Semantic Provenance into the Web of Data.&lt;/span&gt; &lt;span class='bibbase_paper_author'&gt;Zhao, J.; Sahoo, S. S.; Missier, P.; Sheth, A.; and Goble, C.&lt;/span&gt; &lt;span class='bibbase_paper_year'&gt;2011.&lt;/span&gt;&lt;/span&gt;
&lt;span class='bibbase_paper_venue'&gt;IEEE Internet Computing, 15:40--48.&lt;/span&gt;&lt;br class='bibbase_paper_content'/&gt;&lt;span class='bibbase_paper_content'&gt;&lt;a href="http://www.bibbase.org/cache/data.bibbase.org_author_amit-sheth__3Fformat_3Dbibtex/10.1109_MIC.2011.7.bib"&gt;&lt;img src="http://www.bibbase.org/resources/filetypes/bib.png" alt="Extending Semantic Provenance into the Web of Data [bib]" style="width: 24px; height: 24px; border: 0px; vertical-align: text-top" class='bibbase_icon' /&gt;&lt;span style="display: none;" class='bibbase_icon_text'&gt;Bibtex&lt;/span&gt;&lt;/a&gt; &lt;/span&gt;</description></item><item><title>Scalable Authoritative OWL Reasoning for the Web</title><link>http://www.bibbase.org/cache/data.bibbase.org_author_amit-sheth__3Fformat_3Dbibtex/hoga-etal-2011IGI.html</link><description>&lt;span class='bibbase_paper_titleauthoryear'&gt;&lt;span class='bibbase_paper_title' onclick="window.location.href='http://www.bibbase.org/cache/data.bibbase.org_author_amit-sheth__3Fformat_3Dbibtex/hoga-etal-2011IGI.html'" style="cursor: pointer; cursor: hand;"&gt;Scalable Authoritative OWL Reasoning for the Web.&lt;/span&gt; &lt;span class='bibbase_paper_author'&gt;Hogan, A. H.; Polleres, A.; and Sheth, A.&lt;/span&gt; &lt;span class='bibbase_paper_year'&gt;2011.&lt;/span&gt;&lt;/span&gt;
&lt;span class='bibbase_paper_venue'&gt;&lt;span class='bibbase_paper_book'&gt;Semantic Services, Interoperability and Web Applications: Emerging Concepts&lt;/span&gt;, 131-177, June.&lt;/span&gt; &lt;span class='bibbase_paper_note'&gt;Invited re-publication&lt;/span&gt;&lt;br class='bibbase_paper_content'/&gt;&lt;span class='bibbase_paper_content'&gt;&lt;a href="http://www.igi-global.com/bookstore/titledetails.aspx?titleid=47114&amp;amp;detailstype=chapters" onclick="var cframe = document.getElementById('bibbase_controlframe'); cframe.contentWindow.location.href = 'http://www.bibbase.org/cgi-bin/writelog.cgi?servername=www.bibbase.org&amp;amp;followlink=www.igi-global.com/bookstore/titledetails.aspx?titleid=47114&amp;amp;detailstype=chapters';"&gt;&lt;img src="http://www.bibbase.org/resources/filetypes/html.png" alt="Scalable Authoritative OWL Reasoning for the Web [http://www.igi-global.com/bookstore/titledetails.aspx?titleid=47114&amp;amp;detailstype=chapters]" style="width: 24px; height: 24px; border: 0px; vertical-align: text-top" class='bibbase_icon'/&gt;&lt;span style="display: none;" class='bibbase_icon_text'&gt;Scalable Authoritative OWL Reasoning for the Web&lt;/span&gt;&lt;/a&gt; &lt;a href="http://www.bibbase.org/cache/data.bibbase.org_author_amit-sheth__3Fformat_3Dbibtex/hoga-etal-2011IGI.bib"&gt;&lt;img src="http://www.bibbase.org/resources/filetypes/bib.png" alt="Scalable Authoritative OWL Reasoning for the Web [bib]" style="width: 24px; height: 24px; border: 0px; vertical-align: text-top" class='bibbase_icon' /&gt;&lt;span style="display: none;" class='bibbase_icon_text'&gt;Bibtex&lt;/span&gt;&lt;/a&gt; &amp;nbsp; &lt;span class='bibbase_stats_paper' style='color: #777;'&gt;&lt;span id='span_stats_paper_http___www_igi_global_com_bookstore_titledetails_aspx_titleid_47114_amp_detailstype_chapters'&gt;&lt;/span&gt;&lt;/span&gt; &amp;nbsp;&lt;span class="bibbase_amazon" style="color: #404040; font-family: monospace; font-weight: bold; padding: 3px; margin: 3px"&gt;&lt;a type="amzn" search="Semantic Services, Interoperability and Web Applications: Emerging Concepts" category="books"&gt;Buy&lt;/a&gt;&lt;/span&gt;&lt;span class='bibbase_group' onclick='toggleFold("abstract_hoga-etal-2011IGI")' title='fold/unfold' style="cursor: pointer; cursor: hand;"&gt;&amp;nbsp;&lt;img id="icon_abstract_hoga-etal-2011IGI" src="http://www.bibbase.org/resources/folded.gif" border='0' alt="abstract_hoga-etal-2011IGIfolded.gif" /&gt;&amp;nbsp;&lt;i&gt;Abstract:&lt;/i&gt;&lt;/span&gt;&lt;div id="abstract_hoga-etal-2011IGI" name="foldable" style="display:none; " class="bibbase_group_body"&gt;&lt;blockquote&gt;In this chapter, the authors discuss the challenges of performing reasoning on large scale RDF datasets from the Web. Using ter-Horst&amp;#39;s pD* fragment of OWL as a base, the authors compose a rule-based framework for application to Web data: they argue their decisions using observations of undesirable examples taken directly from the Web. The authors further temper their OWL fragment through consideration of ``authoritative sources&amp;#39;&amp;#39; which counter-acts an observed behaviour which they term ``ontology hijackin&amp;#39;&amp;#39;: new ontologies published on the Web re-defining the semantics of existing entities resident in other ontologies. They then present their system for performing rule-based forward-chaining reasoning which they call SAOR: Scalable Authoritative OWL Reasoner. Based upon observed characteristics of Web data and reasoning in general, they design their system to scale: the system is based upon a separation of terminological data from assertional data and comprises of a lightweight in-memory index, on-disk sorts and file-scans. The authors evaluate their methods on a dataset in the order of a hundred million statements collected from real-world Web sources and present scale-up experiments on a dataset in the order of a billion statements collected from the Web. In this republished version, the authors also present extended discussion reflecting upon recent developments in the area of scalable RDFS/OWL reasoning, some of which has drawn inspiration from the original publication (Hogan, et al., 2009).&lt;/blockquote&gt;&lt;/div&gt;&lt;/span&gt;</description></item></channel></rss>