Extraction and Geographical Navigation of Important Historical Events in the Web

Yamamoto, Makoto; Takahashi, Yuku; Iwasaki, Hiromichi; Oyama, Satoshi; Ohshima, Hiroaki; Tanaka, Katsumi

doi:10.1007/978-3-642-19173-2_4

Cited by 4 publications

(3 citation statements)

References 17 publications

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“…FamilySearch [7] enables users to display people on a map based on manual input of their prefecture-level location. Yamamoto et al [8] proposed techniques for achieving the geographical navigation of historical events described in Web pages as a Virtual History Tour. They extracted historical event sentences from the Web and identified one representative place name for each event.…”

Section: Related Work and Discussionmentioning

confidence: 99%

Displaying People with Old Addresses on a Map

Zhang

Murakami

2015

Information Retrieval Technology

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This paper proposes a method of converting old addresses to current addresses for geocoding, with the aim of displaying on a map people who have such old addresses. Existing geocoding services often fail to handle old addresses since the names of towns, cities, or prefectures can be different from those of current addresses. To solve this geocoding problem, we focus on postal codes, extracting them from Web search result snippets using the query "prefecture name AND important place name AND postal code." The frequency of postal codes and the edit distance between the old address and the addresses obtained using the postal codes are used to judge the most suitable postal code and thus the corresponding current address. The effectiveness of the proposed method is evaluated in an experiment using a relative dataset. A prototype system was implemented in which users could display people using their birthdate and birthplace addresses on a map chronologically with an associated history chart.

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Section: Related Work and Discussionmentioning

confidence: 99%

Displaying People with Old Addresses on a Map

Zhang

Murakami

2015

Information Retrieval Technology

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“…To tag the contents, they use a gazetteer for space, time, and thematic categories making use of the GATE (General Architecture for Text Engineering) software. Another approach is described by Yamamoto et al () to extract historical events from web resources. Gupta, Strötgen, and Berberich () use a probabilistic framework to analyze natural language text and determine important events.…”

Section: Related Workmentioning

confidence: 99%

Extraction of spatio‐temporal data about historical events from text documents

Abraham

Mäs

Bernard

2018

Transactions in GIS

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Often, we are faced with questions regarding past events and the answers are hidden in the historical text archives. The growing developments in geographic information retrieval and temporal information retrieval techniques have given new ways to explore digital text archives for spatio-temporal data. The question is how to retrieve the answers from the text documents. This work contributes to a better understanding of spatio-temporal information extraction from text documents. Natural language processing techniques were used to develop an information extraction approach using the GATE language processing software. The developed framework uses gazetteer matching, spatio-temporal relationship extraction and pattern-based rules to recognize and annotate elements in historical text documents. The extracted spatiotemporal data is used as input for GIS studies on the time-geography context of the German-Herero resistance war of 1904 in Namibia. Related issues when analyzing the historical data in current GIS are discussed. Particularly problematic are movement data in small scale with poor temporal density and trajectories that are short or connect very distant locations.

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“…Batista et al (2010) used machine learning approach to extract geographic entities from text documents. Yamamoto et al (2011) presents an approach to extract historical events from the web to geographically navigate through them.…”

Section: Related Workmentioning

confidence: 99%

Digital transformations in Indian cities : between paper list and GIS map

Richter¹

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SummaryLocation plays a fundamental role in human cognition and communication, certainly in this era of social media in which people have freedom to communicate anytime and from anywhere with current communication technology. This opportunity to communicate with text messages or through online social media such as twitter, blogs or facebook allows, for instance, sharing travel experiences.Geographic Information Systems are well equipped to handle locational information expressed in longitude and latitude, however, they cannot convert the geographic information present in the text to useful map information. Such textual information is known to have existed for over 250 years with over a billion biological specimens collected, all providing information about the collection locality of the specimen, but not always providing coordinates. This is one of the barriers in using these descriptions for spatial analysis. With some effort of interpretation, one might be able to understand and geocode these locations. Geocoding from textual descriptions is important because it allows to address textual ambiguity and, once the geocoding is done, no other geographic identifier is required.In a broader perspective the research project reported here aims to understand how humans communicate about location information using semi-structured text and how technology can aid in understanding and spatially representing it. For this purpose, real-world data from the published Ornithological Gazetteer of Brazil was used. In this gazetteer, localities are described using a number of statements that can be interpreted as spatial hints as to position. We identify those hints and their components, which need to be extracted and stored in a structured format. To do so, techniques of natural language processing and information extraction are used to understand the syntactic structure of the descriptions, based on which extraction patterns are developed per hint type. Upon extraction, these hints are translated to spatial representations.Some hints allow us to represent crisp boundaries as vector representation, whereas others are represented using a probability raster approach. Using these two representation types, hints were converted into their relevant spatial representations and for an entry description, these were combined to derive the common area where the locality at i Summary hand is expected to fall. By carrying out this methodology for those entries with available geocodes, we are able to evaluate the accuracy of our results for this gazetteer. The approach presented in the thesis is generic and can be applied to other similar text sources.ii SamenvattingLocatie heeft een belangrijke rol in menselijke cognitie en communicatie, vooral ook in het huidige tijdsgewricht waarin sociale media de mens de vrijheid verleent op ieder moment en iedere locatie te communiceren. Deze verworvenheid van communiceren met korte tekstberichten of via sociale media zoals twitter, blogs of facebook, stelt de mens bijvoorbeeld in staat reiservaringen ui...

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Extraction and Geographical Navigation of Important Historical Events in the Web

Cited by 4 publications

References 17 publications

Displaying People with Old Addresses on a Map

Displaying People with Old Addresses on a Map

Extraction of spatio‐temporal data about historical events from text documents

Digital transformations in Indian cities : between paper list and GIS map

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