Mobile information systems agendas are increasingly becoming an essential part of human life and they play important role in several daily activities. These have been developed for different contexts such as public facilities smart cities, health care, traffic congestions, e-commerce, financial security, user-generated content, crowdsourcing. In GIScience, problems related to routing deeply explored by using techniques, but not focused on security or crime rates. this paper, approach provide...

Smart cities are characterized by the use of massive information and digital communication technologies as well sensor networks where Internet smart data core. This paper proposes a methodology to geocode traffic-related events that collected from Twitter how geocoded gather training dataset, apply Support Vector Machine method, build prediction model. model produces spatiotemporal regarding traffic congestions with analysis. Furthermore, spatial distribution represented heat maps is...

Abstract To date, there are different ontologies for many domains and applications. Users can access them to share information, reuse knowledge, integrate data sources several purposes applications such as semantic web, warehousing, e-learning, e-commerce, knowledge representation, so on. Ontology engineering is rapidly becoming a mature discipline, having produced tools methodologies building managing ontologies. However, even with clearly defined methodology, an ontology remains...

In this paper, an approach to geocode tweets published in Spanish is proposed. The are related traffic events within urban context of the Mexico City. They generated by a particular phenomenon for knowing behavior involved geographic entities. order disambiguate and verify consistency information, application ontology was defined. Thus, core goal identify location as well spatial relationships between entities presented events, using semantic analysis collected dataset. consequence,...

The large quantity of information retrieved from communities, public data repositories, web pages, or mining can be sparsed and poorly classified. This work shows how to employ unsupervised classification algorithms such as K-means proper classify user reviews into their closest category, forming a balanced set. Moreover, we found that the text vectorization technique significantly impacts clustering formation, comparing TF-IDF Word2Vec. value for mapping cluster with movie genre was 81.34%...

The global outburst of COVID-19 introduced severe issues concerning the capacity and adoption healthcare systems how vulnerable citizen classes might be affected. pandemic generated most remarkable transformation health services, appropriating increase in new information communication technologies to bring sustainability services. This paper proposes a novel, methodological, collaborative approach based on patient-centered technology, which consists recommender system architecture assist...

Several Sun models suggest a radioactive balance, where the concentration of greenhouse gases and albedo effect are related to Earth’s surface temperature. There is considerable increment in due anthropogenic activities. Climate change correlates with this alteration atmosphere an increase Efficient forecasting climate its impacts could be helpful respond threat c.c. develop sustainably. Many studies have predicted temperature changes coming years. The global community has create model that...

In this paper, we describe a set of tools, based on software engineering, HCI techniques and Java technologies, to support the development process 3D Web-based collaborative virtual worlds (CVE) populated by non autonomous interactive entities. This work is first effort define methodology supported design, analysis implementation tools that assist CVE. Our proposal emphasizes collaboration aspects among entities populate world services they offer each other in order carry out collaboration,...

The increasing adoption of mobile personal devices and Internet Things is leveraging the emergence a wide variety opportunistic sensing applications. However, designers this type applications face set technical challenges related to limitations heterogeneity hardware software platforms dynamics scenarios where they are deployed. In paper, we introduce Semantic‐Centric Fog‐based framework aimed at effectively efficiently supporting proposed composed local distributed algorithms that support...

In this paper we present a new randomized approximation algorithm for the metric discrete k-center problem. The main idea is to apply random perturbations decisions made by deterministic in such way as keep guarantees with high probability, but at same time explore an extended neighborhood of solutions produced algorithm. We formally characterize proposed and show that it produces 2-approximated probability least 1-1/N when repeated αlnN times. α,N∈Z <sup...

Several sun models suggest the radioactive balance where concentration of greenhouse gases and albedo effect are related to Earth&amp;#039;s surface temperature. There is a considerable increment due anthropogenic activities. Climate change correlates with this alteration in atmosphere an increase Efficient forecasting climate its impacts 1.5°C global warming above pre-industrial levels could be helpful respond threat c.c. develop sustainably. Many studies have predicted temperature coming...

This research uses the computing of conceptual distance to measure information content in Wikipedia categories. The proposed metric, generality, relates by determining ratio a concept provides others compared it receives. DIS-C algorithm calculates generality values for each concept, considering relationship&amp;#039;s and weight. findings this study were current methods field found be comparable results obtained using WordNet corpus. method offers new approach measuring applied any...