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From GPS to semantic data: how and why—a framework for enriching smartphone trajectories

Ahmed Ibrahim, Heng Zhang, Sarah Clinch, Simon Harper
2021 Computing  
However, the lack of a processing framework built around those advances complicates the planning for implementing the enrichment.  ...  AbstractDeriving human behaviour from smartphone location data is a multitask enrichment process that can be of value in behavioural studies.  ...  Search query Google scholar ACM ScienceDirect ("Semantic enrichment" OR 639 49 47 "semantic annotation" OR "trajectory segmentation") AND (trajectories OR trajectory) AND GPS AND (smartphone OR "mobile  ... 
doi:10.1007/s00607-021-00993-z fatcat:i3wpyjbzifadlhquox2jsrjsei

Towards the Semantic Enrichment of Trajectories Using Spatial Data Infrastructures

Jarbas Nunes Vidal-Filho, Valéria Cesário Times, Jugurta Lisboa-Filho, Chiara Renso
2021 ISPRS International Journal of Geo-Information  
The term Semantic Trajectories of Moving Objects (STMO) corresponds to a sequence of spatial-temporal points with associated semantic information (for example, annotations about locations visited by the  ...  for enabling data documentation and ensuring the quality of STMOs.  ...  Acknowledgments: SDI4Trajectory is an institutional project aimed at enriching, analyzing and documenting Semantic Trajectories of Mobile Objects.  ... 
doi:10.3390/ijgi10120825 fatcat:754yjkx6e5ce3lbsbdsmwjbj5i

Trajectory Based Location Prediction and Enriched Ontological User Profiles for Efficient Website Recommendation

2020 International journal of recent technology and engineering  
In this article, we suggest a novel method for predicting the location of a user's profile using Semantic Trajectory Pattern (STP), based on both the place and semantic features of user trajectories.  ...  cluster, calculated by evaluating the typical behavior of users in semantic trajectories.  ...  Recommendation systems project the recommended websites based on the personalization. User profiling is one of the best sources for web search personalization.  ... 
doi:10.35940/ijrte.c4363.099320 fatcat:s6zrljnjcvhtznyajveo4zv3fe

Creating Time Capsules for Historical Research in the Early Modern Period: Reconstructing Trajectories of Plant Medicines

Wouter Klein, Kalliopi Zervanou, Marijn Koolen, Peter van den Hooff, Frans Wiering, Wouter Alink, Toine Pieters
2017 Workshop on Computational History  
We illustrate this with an extensive example, to show how the semantic integration of diverse historical data sources into a single linked data knowledge structure in our Time Capsule system has practical  ...  However, information on how these drug trajectories have evolved is hidden in large amounts of heterogeneous historical data. ese data are in di erent formats, languages, genres and stages of digitization  ...  ACKNOWLEDGMENTS is work was supported by the Netherlands Institute for Scienti c Research (Project Nr. 314-99-111).  ... 
dblp:conf/histoinfo/KleinZKHWAP17 fatcat:bi3s2povo5cbnh7xppyb33gr7m

A Survey on Big Data for Trajectory Analytics

Damião Ribeiro de Almeida, Cláudio de Souza Baptista, Fabio Gomes de Andrade, Amilcar Soares
2020 ISPRS International Journal of Geo-Information  
Trajectory data allow the study of the behavior of moving objects, from humans to animals.  ...  This article collected state-of-the-art on Big Data trajectory analytics.  ...  for Semantic Enrichment and Analysis of Movement Data D A framework to semantically enrich and analyze movement data Silva et al. [41] 2015 SWOT: A Conceptual Data Warehouse Model for Semantic  ... 
doi:10.3390/ijgi9020088 fatcat:bgpfxcx5jngd7cjcj6u4fl4jpi

Generating Semantic Trajectories Using a Car Signal Ontology

Benjamin Klotz, Raphaël Troncy, Daniel Wilms, Christian Bonnet
2018 Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18  
In this paper, we use semantic technologies for enriching trajectory data in the automotive industry for offline analysis.  ...  of signal values and enables to infer the "driving smoothness" that we represent as additional annotations of semantic trajectories.  ...  A second missing aspect is the representation of semantic trajectories enriched with car attributes and sensor data for non-specific applications.  ... 
doi:10.1145/3184558.3186962 dblp:conf/www/KlotzTWB18 fatcat:mugpomipbje77mapf6pcfjahbe

Go Beyond Raw Trajectory Data: Quality and Semantics

Kai Zheng, Han Su
2015 IEEE Data Engineering Bulletin  
The more discentralized and contextualized trajectory sources have brought some unique challenges for database management with respect to the quality and semantics of trajectories data.  ...  To really release the power of trajectory-based applications, we should go beyond the raw trajectory data by enhancing their quality and semantics, which calls for novel computing architectures, paradigms  ...  With such a large volume of trajectory data enriched with semantic and activity information, we are confronted with challenges in terms of managing, analysing and understanding it.  ... 
dblp:journals/debu/ZhengS15 fatcat:6horn73wyrbltb6lfotd23vs6q

Semantic Trajectory Analytics and Recommender Systems in Cultural Spaces

Sotiris Angelis, Konstantinos Kotis, Dimitris Spiliotopoulos
2021 Big Data and Cognitive Computing  
The paper presents a system architecture design for the recognition of semantic trajectory patterns and for the inferencing of possible synthesis of visitor trajectories in cultural spaces, such as museums  ...  This paper focuses on the investigation of open issues and challenges at the intersection of these two topics, emphasising semantic technologies and machine learning techniques.  ...  Acknowledgments: The authors would like to thank Alexandra Kallitsa for her valuable contribution. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/bdcc5040080 fatcat:kjdlbtlxmzatjp7iiq23uiff4e

A Taxi Trajectory and Social Media Data Management Platform for Tourist Behavior Analysis

Pattama Krataithong, Chutiporn Anutariya, Marut Buranarach
2022 Sustainability  
The first objective is to extract the tourist trajectory data from the raw GPS data and produce a data integration module enriched with a knowledge base of tourist trajectories.  ...  This knowledge base is constructed through the extension of semantic trajectory ontology (STO) and mobility behavior ontology (MBO).  ...  Suitable semantic entities are pulled from linked data sources such as DBpedia and FOAF and used to enrich segments.  ... 
doi:10.3390/su14084677 fatcat:qdtbnjgbgje6zcfonj672yg3j4

Efficient Semantic Enrichment Process for Spatiotemporal Trajectories

Bin Zhao, Mingyu Liu, Jingjing Han, Genlin Ji, Xintao Liu, Fa Zhu
2021 Wireless Communications and Mobile Computing  
In order to improve the efficiency of this approach, we build a spatial index to enhance the preannotated semantic trajectories.  ...  However, existing semantic enrichment process approaches, which can produce semantic trajectories, are generally time-consuming.  ...  Acknowledgments This study was supported by the NSF of Jiangsu Province (BK20200725) and the Postgraduate Research Innovation Program of Jiangsu Province (KYCX201258).  ... 
doi:10.1155/2021/4488781 fatcat:knat4dxdezcd7gadtotzvne4re

Semantic management of moving objects: A vision towards smart mobility

Sergio Ilarri, Dragan Stojanovic, Cyril Ray
2015 Expert systems with applications  
We propose a distributed framework for the semantic enrichment and management of mobility data and analyze the potential deployment and exploitation of such a framework. ⇑  ...  We present the state-of-the-art in the domain of management of semantic locations and trajectories, and outline research challenges that need to be investigated to enable a full-fledged and intelligent  ...  The authors acknowledge the support of the European COST Action IC0903 MOVE, that fostered research collaboration in this field.  ... 
doi:10.1016/j.eswa.2014.08.057 fatcat:bip2g2qfrjhxdcog5ofc7zczxa

Similarity Search on Semantic Trajectories Using Text Processing

Damião Ribeiro de de Almeida, Cláudio de Souza de Souza Baptista, Fabio Gomes de de Andrade
2022 ISPRS International Journal of Geo-Information  
One of the problems in this field is the search for a semantic trajectory database that is flexible and adaptable; flexibility in the sense of retrieving trajectories that are closest to the user's query  ...  Such trajectories may be semantically enriched using sensors and social media. This enables a detailed analysis of trajectory behavior patterns.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi11070412 fatcat:qq2ylku7pvegxc5u44cbmjfhla

Towards Acquisition of Semantics of Places and Events by Multi-perspective Analysis of Geotagged Photo Collections [chapter]

Slava Kisilevich, Daniel Keim, Natalia Andrienko, Gennady Andrienko
2012 Lecture Notes in Geoinformation and Cartography  
These data are often semantically annotated by titles and tags that are useful for learning facts about the geographical places and for detecting events occurring in these places.  ...  We provide a conceptual foundation for the analysis of spatio-temporal data of places visited by people worldwide using community contributed geotagged photo collections.  ...  by the Priority Program (SPP) 1335 ("Visual Spatio-temporal Pattern Analysis of Movement and Event Data").  ... 
doi:10.1007/978-3-642-12289-7_10 fatcat:mwpqmycw4behdapyxz5vuztpci

Multi-channel Convolutional Neural Networks for Handling Multi-dimensional Semantic Trajectories and Predicting Future Semantic Locations [chapter]

Antonios Karatzoglou
2020 Lecture Notes in Computer Science  
At the same time, it has been shown that the use of additional context information, that is, elevating the degree of semantic enrichment of movement data, can lead to significant better results both in  ...  In this work, we propose a Multi-Channel Convolutional Neural Network (CNN) based approach for capturing all the available context dimensions in our semantic trajectory dataset aiming at achieving a higher  ...  channels matching the degree of semantic enrichment of our data (see Sect. 3).  ... 
doi:10.1007/978-3-030-38081-6_9 fatcat:dmniy3dwjndezlopawilme24om

Multiple aspect trajectories: a case study on fishing vessels in the Northern Adriatic sea

Giulia Rovinelli, Stan Matwin, Fabio Pranovi, Elisabetta Russo, Claudio Silvestri, Marta Simeoni, Alessandra Raffaetà
2021 Zenodo  
We present all the phases of the dataset creation, starting from the raw data and proceeding through data exploration, data cleaning, trajectory reconstruction and semantic enrichment.  ...  The database results from the fusion of two complementary data sources: trajectories from fishing vessels (obtained from terrestrial Automatic Identification System, or AIS, data feed) and the corresponding  ...  ACKNOWLEDGEMENTS This paper is supported by the MASTER project that has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie-Sklodowska Curie grant  ... 
doi:10.5281/zenodo.6340675 fatcat:gjow5uvqbfepnhmspsjlzwpkf4
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