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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-archives-XLII-5-W1-275-2017</article-id>
<title-group>
<article-title>CONSERVATION-ORIENTED HBIM. THE BIMEXPLORER WEB TOOL</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Quattrini</surname>
<given-names>R.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<ext-link>https://orcid.org/0000-0001-5637-6582</ext-link></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pierdicca</surname>
<given-names>R.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<ext-link>https://orcid.org/0000-0002-9160-834X</ext-link></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Morbidoni</surname>
<given-names>C.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Malinverni</surname>
<given-names>E. S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<ext-link>https://orcid.org/0000-0001-6582-2943</ext-link></contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Universtitá Politecnica delle Marche, Dipartimento di Ingegneria Civile, Edile e dell’ Architettura Via Brecce Bianche, 60100, Ancona, Italy</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Universtitá Politecnica delle Marche, Dipartimento di Ingegneria dell’ Informazione Via Brecce Bianche, 60100, Ancona, Italy</addr-line>
</aff>
<pub-date pub-type="epub">
<day>15</day>
<month>05</month>
<year>2017</year>
</pub-date>
<volume>XLII-5/W1</volume>
<fpage>275</fpage>
<lpage>281</lpage>
<permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
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<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-5-W1-275-2017.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-5-W1-275-2017.pdf</self-uri>
<abstract>
<p>The application of (H)BIM within the domain of Architectural Historical Heritage has huge potential that can be even exploited
within the restoration domain. The work presents a novel approach to solve the widespread interoperability issue related to the data
enrichment in BIM environment, by developing and testing a web tool based on a specific workflow experienced choosing as the case
study a Romanic church in Portonovo, Ancona, Italy. Following the need to make the data, organized in a BIM environment, usable
for the different actors involved in the restoration phase, we have created a pipeline that take advantage of BIM existing platforms and
semantic-web technologies, enabling the end user to query a repository composed of semantically structured data. The pipeline of work
consists in four major steps: i) modelling an ontology with the main information needs for the domain of interest, providing a data
structure that can be leveraged to inform the data-enrichment phase and, later, to meaningfully query the data; ii) data enrichment, by
creating a set of shared parameters reflecting the properties in our domain ontology; iii) structuring data in a machine-readable format
(through a data conversion) to represent the domain (ontology) and analyse data of specific buildings respectively; iv) development
of a demonstrative data exploration web application based on the faceted browsing paradigm and allowing to exploit both structured
metadata and 3D visualization. The application can be configured by a domain expert to reflect a given domain ontology, and used by
an operator to query and explore the data in a more efficient and reliable way. With the proposed solution the analysis of data can be
reused together with the 3D model, providing the end-user with a non proprietary tool; in this way, the planned maintenance or the
restoration project became more collaborative and interactive, optimizing the whole process of HBIM data collection.</p>
</abstract>
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