Results 31 to 40 of about 222,894 (269)

A Semantically Data-Driven Classification Framework for Energy Consumption in Buildings

open access: yesEnergies, 2022
Encouraged by the European Union, all European countries need to enforce solutions to reduce non-renewable energy consumption in buildings. The reduction of energy (heating, domestic hot water, and appliances consumption) aims for the vision of near-zero
Angela Popa   +3 more
doaj   +1 more source

Semantic National Biography of Finland

open access: yesDigital Humanities in the Nordic and Baltic Countries Publications, 2018
This paper presents the vision of publishing and utilizing textual biographies as Linked (Open) Data on the Semantic Web. As a case study, we publish the live stories of the National Biography of Finland, created by the Finnish Literature Society, as ...
Eero Hyvönen   +4 more
doaj   +1 more source

Question Answering Over Knowledge Graphs: A Case Study in Tourism

open access: yesIEEE Access, 2022
Over the recent years, a large number of knowledge graphs (KGs) have been developed to store and present small and medium enterprises’ data in the form of subject-predicate-object triples.
Sareh Aghaei, Elie Raad, Anna Fensel
doaj   +1 more source

Geocoding, Publishing, and Using Historical Places and Old Maps in Linked Data Applications

open access: yesDigital Humanities in the Nordic and Baltic Countries Publications, 2018
This paper presents a Linked Open Data brokering service prototype Hipla.fi for using and maintaining historical place gazetteers and maps based on distributed SPARQL endpoints.
Esko Ikkala   +2 more
doaj   +1 more source

Extending the Finnish Linked Data Infrastructure with Natural Language Processing Services in FIN-CLARIAH

open access: yesDigital Humanities in the Nordic and Baltic Countries Publications, 2022
The DARIAH-EU infrastructure for Digital Humanities (DH) is often focusing on using structured data for quantitative studies, while the EU-CLARIN infrastructure deals primarily with unstructured natural language texts.
Minna Tamper   +2 more
doaj   +1 more source

Semantic Kernels for Semantic Parsing [PDF]

open access: yesProceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014
We present an empirical study on the use of semantic information for Concept Segmentation and Labeling (CSL), which is an important step for semantic parsing. We represent the alternative analyses output by a state-of-the-art CSL parser with tree structures, which we rerank with a classifier trained on two types of semantic tree kernels: one processing
Iman Saleh   +4 more
openaire   +2 more sources

Tailored Semantic Annotation for Semantic Search [PDF]

open access: yesSSRN Electronic Journal, 2015
This paper presents a novel method for semantic annotation and search of a target corpus using several knowledge resources (KRs). This method relies on a formal statistical framework in which KR concepts and corpus documents are homogeneously represented using statistical language models.
Rafael Berlanga Llavori   +2 more
openaire   +2 more sources

A Citizen Science Approach to Archaeology

open access: yesDigital Humanities in the Nordic and Baltic Countries Publications, 2019
In this paper, we present an ongoing project called Finnish Archaeological Finds Recording Linked Open Database (Suomen arkeologisten löytöjen linkitetty avoin tietokanta – SuALT), including the reasons why this citizen science project is underway ...
Anna Wessman   +7 more
doaj   +1 more source

Performance Evaluation of GNSS Position Augmentation Methods for Autonomous Vehicles in Urban Environments

open access: yesSensors, 2022
Global Navigation Satellite Systems provide autonomous vehicles with precise position information through the process of position augmentation. This paper presents a series of performance tests aimed to compare the position accuracy of augmentation ...
Harihara Bharathy Swaminathan   +3 more
doaj   +1 more source

Finding One’s Bearings in the Hyperparameter Landscape of a Wide-Kernel Convolutional Fault Detector

open access: yesIEEE Access
State-of-the-art algorithms are reported to be almost perfect at distinguishing the vibrations arising from healthy and damaged machine bearings, according to benchmark datasets at least. However, what about their application to new data?
Dan Hudson   +2 more
doaj   +1 more source

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