Geospatial route extraction from texts

Drymonas, Euthymios; Pfoser, Dieter

doi:10.1145/1869890.1869894

Cited by 17 publications

(16 citation statements)

References 9 publications

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“…Travel guides and travel diaries were used in [18] to correctly recognize geographic information and construct actual trajectory datasets that can be visualized on a map. In this research project, the extraction of relative and absolute geographic information has been achieved.…”

Section: Geospatial Information Extraction From the Web And Text Documentioning

confidence: 99%

“…In this research project, the extraction of relative and absolute geographic information has been achieved. The main advantage of the method used in [18] is that only the linguistic, semantic and contextual information contained in the provided documents are used. The study in [19] came up with a system that adds a spatiolinguistic reasoner to interpret the spatial language mentioned in image captions.…”

Section: Geospatial Information Extraction From the Web And Text Documentioning

confidence: 99%

“…3. Subpattern three matches a combination of punctuation, number, white space and word that resembles "0.1 km" (Line [18][19][20][21].…”

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confidence: 99%

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Spatiotemporal Information Extraction from a Historic Expedition Gazetteer

Bekele

Singh³

2016

Preprint

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Historic expeditions are events that are flavored by exploratory, scientific, military or geographic characteristics. Such events are often documented in literature, journey notes or personal diaries. A typical historic expedition involves multiple site visits and their descriptions contain spatiotemporal and attributive contexts. Expeditions involve movements in space that can be represented by triplet features (location, time and description). However, such features are implicit and innate parts of textual documents. Extracting the geospatial information from these documents requires understanding the contextualized entities in the text. To this end, we developed a semi-automated framework that has multiple Information Retrieval and Natural Language Processing components to extract the spatiotemporal information from a two-volumes historic expedition gazetteer. Our framework has three basic components, namely, the Text Preprocessor, the Gazetteer Processing Machine and the JAPE (Java Annotation Pattern Engine) Transducer. We used the Brazilian Ornithological Gazetteer as an experimental dataset and extracted the spatial and temporal entities from entries that refer to three expeditioners' site visits and mapped the trajectory of each expedition using the extracted information. Finally, one of the mapped trajectories was manually compared with a historical reference map of that expedition to assess the reliability of our framework. The reference map was manually prepared in previous research work by others.

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Section: Geospatial Information Extraction From the Web And Text Documentioning

confidence: 99%

Section: Geospatial Information Extraction From the Web And Text Documentioning

confidence: 99%

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Spatiotemporal Information Extraction from a Historic Expedition Gazetteer

Bekele

Singh³

2016

Preprint

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show abstract

“…In this research project, the extraction of relative and absolute geographic information has been achieved. The main advantage of the method used in [18] is that only the linguistic, semantic and contextual information contained in the provided documents are used. The study in [19] came up with a system that adds a spatio-linguistic reasoner to interpret the spatial language mentioned in image captions.…”

Section: Geospatial Information Extraction From the Web And Text Documentioning

confidence: 99%

Spatiotemporal Information Extraction from a Historic Expedition Gazetteer

Bekele

Singh³

2016

IJGI

View full text Add to dashboard Cite

Historic expeditions are events that are flavored by exploratory, scientific, military or geographic characteristics. Such events are often documented in literature, journey notes or personal diaries. A typical historic expedition involves multiple site visits and their descriptions contain spatiotemporal and attributive contexts. Expeditions involve movements in space that can be represented by triplet features (location, time and description). However, such features are implicit and innate parts of textual documents. Extracting the geospatial information from these documents requires understanding the contextualized entities in the text. To this end, we developed a semi-automated framework that has multiple Information Retrieval and Natural Language Processing components to extract the spatiotemporal information from a two-volume historic expedition gazetteer. Our framework has three basic components, namely, the Text Preprocessor, the Gazetteer Processing Machine and the JAPE (Java Annotation Pattern Engine) Transducer. We used the Brazilian Ornithological Gazetteer as an experimental dataset and extracted the spatial and temporal entities from entries that refer to three expeditioners' site visits (which took place between 1910 and 1926) and mapped the trajectory of each expedition using the extracted information. Finally, one of the mapped trajectories was manually compared with a historical reference map of that expedition to assess the reliability of our framework.

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“…Extracting spatial hint information from locality descriptions ted. In (Drymonas and Pfoser, 2010), a methodology was described for reconstructing travel paths by extracting landmarks along the routes from travel diaries. In their approach, rule-based IE engine is used in conjunction with location ontology.…”

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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Geospatial route extraction from texts

Cited by 17 publications

References 9 publications

Spatiotemporal Information Extraction from a Historic Expedition Gazetteer

Spatiotemporal Information Extraction from a Historic Expedition Gazetteer

Spatiotemporal Information Extraction from a Historic Expedition Gazetteer

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

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