A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit <a rel="external noopener" href="http://orca.cf.ac.uk/95462/1/Enhanced%20SPARQL%20v3.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
<i title="Cambridge University Press (CUP)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/da7wzr6onfgsplgmbtf6e5d4ke" style="color: black;">Artificial intelligence for engineering design, analysis and manufacturing</a>
AbstractDesign rationale (DR) is an important category within design knowledge, and effective reuse of it depends on its successful retrieval. In this paper, an ontology-based DR retrieval approach is presented, which allows users to search by entering normal queries such as questions in natural language. First, an ontology-based semantic model of DR is developed based on the extended issue-based information system-based DR representation in order to effectively utilize the semantics embedded<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/s089006041600038x">doi:10.1017/s089006041600038x</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rbn2skjdwzamvlpuoxqjsh6v7e">fatcat:rbn2skjdwzamvlpuoxqjsh6v7e</a> </span>
more »... DR, and a database of ontology-based DR is constructed, which supports SPARQL queries. Second, two SPARQL query generation methods are proposed. The first method generates initial SPARQL queries from natural language queries automatically using template matching, and the other generates initial SPARQL queries automatically from DR record-based queries. In addition, keyword extension and optimization is conducted to enhance the SPARQL-based retrieval. Third, a design rationale retrieval prototype system is implemented. The experimental results show the advantages of the proposed approach.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719180610/http://orca.cf.ac.uk/95462/1/Enhanced%20SPARQL%20v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/df/c3/dfc38bf8df288f209c3b67a0c52e235e7b2fe8dd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/s089006041600038x"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> cambridge.org </button> </a>