
measure the precision of the geolocation returned by 
using Euclidean distance. Pauliceia provides a 
geocoding algorithm able to transform historical 
textual addresses into geographical coordinates. The 
algorithm operates on spatiotemporal data sets, that 
is, spatial entities whose geometries and attributes 
vary over time. The challenges of creating an address 
geocoding system for historical data are mainly 
related to the variation of names, geometries and 
numerations of streets and buildings over time. The 
geocoding algorithm of this database takes into 
account all valid periods associated with spatial 
entities. 
The top part of the Figure shows the access to the 
Platform by means of a browser. The Platform, at the 
moment, is hosted at INPE (National Institute for 
Space Research). It is open source, online and service 
oriented. In the middle part, Figure 1 shows to its left 
standard web services specified by OGC (Open 
Geospatial Forum). The services to the right are 
project specific to support VGI and spatio-temporal 
Geocoding (Ferreira et al, 2018). 
The objective of this paper is to present the 
Platform for Historians that is being developed.  It is 
collaborative and open source where anyone 
interested in history will be able to upload 
information along with important files such as audio 
or video and even images. After the platform has been 
made available for beta tes.ts with the community of 
historians, several requests have been made to 
implement some improvements. Therefore, these 
improvements made for the Platform are also 
discussed.  A case study is shown of how relevant 
such a platform is. 
The paper is organized as follows: Section 1.2 
presented a brief description of the present status of 
the Platform. Section 2 presents similar available  
platforms. Section 3 discusses the improvements 
made to the Platform while Section 4 shows a case 
study and the Conclusions in Section 5. 
2  BRIEF REVIEW OF SIMILAR 
PLATFORMS 
A platform that is very popular is OpenStreetMap 
(OSM) and also implements VGI (Volunteered 
Geographic Information). Geographical data can be 
edited and operated by users based on open content 
license.  Two applications must be mentioned: 
HistOSM (http://histosm.org)) and OpenHistorical 
Map  (http://www.openhistoricalmap.com). The 
former is a web application enabling visualization of 
historic objects (monuments, churches, etc.) stored in 
the OSM database. The latter uses the  OSM 
infrastructure to create a detailed historic map of the 
world. 
Another project, The Atlanta Explorer, is used to 
create historical databases and 3D models of Atlantic 
City for the period of post Civil War to 1940. There 
is a web portal that enables users to explore such 
maps. Several topics have been explored to generate 
content (Page et al., 2013). 
By employing crowdsourcing to create 
representations of building footprints was promoted 
by The New York Public Library. The footprints refer 
to insurance atlases from 1853 to 1930 in New York 
City. Machine learning algorithms were trained by 
using volunteered information to recognize building 
shapes. A consensus polygon algorithm is used to 
extract a single polygon to represent each building 
(Budig et al, 2016). 
Websites for The Digital Harlem 
(http://digitalharlem.org) contain legal records, 
newspapers, and other material to inform on everyday 
life in the Harlem neighborhood of New York City. 
The period covered was 1915-1930. People can 
search for events and places and have an advantage of 
creating interactive web maps. 
A project of The British Library employs 
crowdsourcing to georeference historical maps and 
disseminate them through the web (Southall & Pridal, 
2012). An online georeference tool was made 
available. It is also possible to overlay historic maps 
with the present maps so that one can compare 
different periods in time. 
The dissolution of religious orders within the 
context of urban transformation in Lisbon (19th 
century) was developed in the project Lx Conventos 
(Gouveia et al, 2015). The system to be developed is 
to enable spatial and temporal navigation. 
Another project to create roads and streets of 
France in the 18th century was developed by (Perret 
et al, 2015). Maps were digitized by collaborative 
methodology. Another project in France proposes 
collaborative geocoding in History. It is open source, 
open data and extensible (Cura et al., 2017). 
The platform imagineRio (http://hrc.rice.edu/ 
imagineRio/home) by Rice University is developed to 
understand the social and urban evolution of the city 
of Rio de Janeiro, Brazil. It is organized under several 
perspectives from artists, maps and architectural 
plans both in space and time. It is an open access 
platform. 
Kudaba project (Imhof & Freyberg, 2015) intends 
to deliver a collaborative platform as a possible 
solution to enhance the Digital Humanities and to 
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