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AEMIX: Semantic Verification of Weather Forecasts on the Web

Angel-Luis Garrido, María G. Buey, Gema Muñoz, José-Luis Casado-Rubio
2016 Proceedings of the 12th International Conference on Web Information Systems and Technologies  
This work obtains relevant information from weather forecasts by using ontologies to capture and take advantage of the structure and language conventions.  ...  In this paper, we describe a methodology to quantify the accuracy of weather forecasts posted on the Web and based on natural language.  ...  AEMIX stands for AEMet Information eXtraction.AEMIX: Semantic Verification of Weather Forecasts on the Web  ... 
doi:10.5220/0005922302800287 dblp:conf/webist/GarridoBMC16 fatcat:kgn6feduwjfpth5dceyoviruyi


Ana Meštrović, Sanda Martinčić-Ipšić, Mirko Čubrilo
2007 Journal of Information and Organizational Sciences  
In this work a semantic database for the domain of weather forecasts is represented using the F-logic formalism.  ...  This paper addresses the semantic analysis problem in a spoken dialog system developed for the domain of weather forecasts.  ...  The Croatian weather data semantic analysis combines information extraction slot filling technique with grammars.  ... 
doaj:1a0b65fb3534492ebb81764c59c515cc fatcat:7s5khjviyzhi3ajq2734sgjv3q

From metadata to ontology representation: A case of converting severe weather forecast metadata to an ontology

Miao Chen, Beth Plale
2012 Proceedings of the American Society for Information Science and Technology  
It takes the case of Vortex2 data, a regional weather forecast data set collected in Summer 2010, to showcase how forecast data can be represented in ontology by using the existing metadata information  ...  An ontological representation is another way of representing data sets with the benefit of providing rich semantics, convenient linkage to other data sets, and good interoperability with other data.  ...  On a particular forecast day, the LEAD II system would retrieve the latest observational weather to use in the forecast, making the forecasts more accurate.  ... 
doi:10.1002/meet.14504901286 fatcat:2aipnc6fuvfj5ipm3afebhfbfe

A Croatian Weather Domain Spoken Dialog System Prototype

Ana Mestrovic, Luka Bernic, Miran Pobar, Sanda Martincic-Ipsic, Ivo Ipsic
2010 Journal of Computing and Information Technology  
The semantic interpretation of a weather domain in terms of information extraction is enabled with a semantic and knowledge database.  ...  Two recognition systems were trained separately: one with the radio speech about weather forecast spoken by professional speakers at the national radio (VEPRAD radio) and the other with the telephone speech  ... 
doi:10.2498/cit.1001916 fatcat:kzn775nts5dc3b3x2rew7cyjc4

A flood monitoring tool for urban areas using satellite, weather and social data

Stelios Andreadis, Anastasia Moumtzidou, IIias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris
2018 Zenodo  
In our tool, these two main sources of weather and satellite data are supported by citizen observations, as they are reporting short messages, images and spatiotemporal information on social media platforms  ...  Our technologies involve water body detection from satellite data, event detection from the available sources of data and their positioning on a map when spatiotemporal information is available or automatically  ...  Weather Forecasts Weather forecasts or real-time measurements are presented on graphs.  ... 
doi:10.5281/zenodo.2542531 fatcat:txli4okoajhkbgvsn2copthyom

Selecting the Content of Textual Descriptions of Geographically Located Events in Spatio-Temporal Weather Data [chapter]

Ross Turner, Somayajulu Sripada, Ehud Reiter, Ian P Davy
2008 Applications and Innovations in Intelligent Systems XV  
Our evaluation shows that our approach extracts information similar to human experts.  ...  In the RoadSafe project we are working on developing Natural Language Generation (NLG) techniques to generate textual summaries of spatiotemporal numerical weather prediction data.  ...  This was carried out by parsing the corpus to extract individual spatial phrases along with other semantic information corresponding to the overall description of the event, such as the spatial frame of  ... 
doi:10.1007/978-1-84800-086-5_6 dblp:conf/sgai/TurnerSRD07 fatcat:kx4c4pgjznhprlhx53bf3c52su

An Architecture to Aggregate Heterogeneous and Semantic Sensed Data [chapter]

Amelie Gyrard
2013 Lecture Notes in Computer Science  
We propose an architecture to merge heterogeneous sensor networks, convert measurements into semantic data and reason on them.  ...  We are surrounding by sensor networks such as healthcare, home or environmental monitoring, weather forecasting, etc. All sensor-based applications proposed are domain-specific.  ...  Existing works focus on a specific sensor network: smart home, smart kitchen, weather forecasting or environmental monitoring.  ... 
doi:10.1007/978-3-642-38288-8_54 fatcat:irhdsedux5bhzhzrlbyvadwij4

Automatically Constructing Semantic Web Services from Online Sources [chapter]

José Luis Ambite, Sirish Darbha, Aman Goel, Craig A. Knoblock, Kristina Lerman, Rahul Parundekar, Thomas Russ
2009 Lecture Notes in Computer Science  
The idea behind this approach is to start with a set of known sources and the corresponding semantic descriptions and then discover similar sources, extract the source data, build semantic descriptions  ...  In practice, there is a tremendous amount of data on the Web that is not available through the Semantic Web.  ...  For example, in the weather domain the forecast for the high temperature on the 3rd day would get confused with the high temperature for the 5th day.  ... 
doi:10.1007/978-3-642-04930-9_2 fatcat:y6vgdscnlbgbbik6qhmzm2dnnu

Semantic Sensor Web

Amit Sheth, Cory Henson, Satya S. Sahoo
2008 IEEE Internet Computing  
We see great potential for the SSW in many different domains, including weather forecasting, oceanography, biometrics, video on the Web, 5 and EventWeb. 6 In 1999, Neil Gross expressed a vision of the  ...  Figure 3 . 3 A semantic mashup with ability to show videos that capture events from police cruiser cameras with user queries on spatial region and time interval.  ... 
doi:10.1109/mic.2008.87 fatcat:witzvxsnzjcull3sq6anknm2ky

Semantic IoT: Intelligent Water Management for Efficient Urban Outdoor Water Conservation [chapter]

Trina Myers, Karl Mohring, Trevor Andersen
2017 Lecture Notes in Computer Science  
The initial pilot-prototype combines Semantic Technologies with Internet of Things to decrease urban outdoor water-use and educate residents on best water usage strategies.  ...  2017) Semantic IoT: intelligent water management for efficient urban outdoor water conservation. Abstract.  ...  Weather forecasting data is extracted via the Weather 1 Fig. 3 .  ... 
doi:10.1007/978-3-319-70682-5_21 fatcat:inztsptgdvgejmcdoiur2lf654

Reuse of Semantic Models for Emerging Smart Grids Applications [article]

Valentina Janev, Dušan Popadić, Dea Pujić, Maria Esther Vidal, Kemele Endris
2021 arXiv   pre-print
Therefore, this paper identifies semantic models that can be reused for building interoperable energy management services and applications.  ...  Despite the great potential that IoT platforms and other big data-driven technologies have brought in the energy sector, data exchange and data integration are still not wholly achieved.  ...  Semantic intelligence technologies, for instance, are one of the most important ingredients in building knowledge-based systems as they aid machines in integrating and processing resources contextually  ... 
arXiv:2107.06999v1 fatcat:stnym7nw6rd2dmpntk77x5qrba


2015 International journal of computer and communication technology  
In this paper, we present our approach in constructing a portal-based Meteorological Data Grid System with first application in Weather Forecasting .Our system architecture has three layers.  ...  With the development of Grid technologies, data management and sharing can be exploited in such an efficient way.  ...  Figure 4 describes the Information Portlet. These three-day-forecasting images displayed in this portlet are automatically generated based on metadata extracted from daily forecast datasets.  ... 
doi:10.47893/ijcct.2015.1299 fatcat:is2vuvwamncivkhqzkmso345be

Semantic Information Integration for Smart Grid Applications [chapter]

Yogesh Simmhan, Qunzhi Zhou, Viktor Prasanna
2011 Green IT: Technologies and Applications  
In association with it, semantic complex event processing system will allow consumer and utility managers to easily specify and enact energy policies continuously.  ...  Semantic information integration, from sources as diverse as Internet-connected smart meters and social networks, is a linchpin to support the advanced analytics and mining algorithms required for this  ...  Weather includes historical, current and forecast information about temperature, humidity, precipitation, cloud cover and wind speed.  ... 
doi:10.1007/978-3-642-22179-8_19 fatcat:oz432avxmzdk5lys5ih64etwwm

Ontological based interoperability and integration framework for heterogeneous weather systems

2016 Revista Técnica de la Facultad de Ingeniería Universidad del Zulia  
The weather information is widely provided by various systems with different formats and parameters.  ...  An integrated system is formed based on the semantic correspondence between semantically similar elements of different information systems.  ...  systems using semantic web technologies.  ... 
doi:10.21311/ fatcat:hwvavcjvsrd75d6fo27buxrv4e

IKON-OWL: Using Ontologies for Knowledge Representation of Local Indigenous Knowledge on Drought

Adeyinka K. Akanbi, Muthoni Masinde
2018 Americas Conference on Information Systems  
This research aims to acquire, organize and model natural indicators, behavior and ecological interactions of local indigenous knowledge with a focus on drought forecasting.  ...  The knowledge is formalised into semantic structure using an ontology for machine readability, reusability, integration, and interoperability with heterogeneous intelligent systems.  ...  Elicited information for each weather procedure was combined into a comprehensive ontology for improving weather forecasting process.  ... 
dblp:conf/amcis/AkanbiM18 fatcat:kaffoesdhjgohnveoehvlqtr4y
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