[PDF] Top 20 Semantic location extraction from crowdsourced data
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Semantic location extraction from crowdsourced data
... use, data currency and abundancy are some of the key reasons for attracting this high ...such data in important applications like disaster ...Moreover, location information availability of CSD is ... See full document
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Semantic location extraction from crowdsourced data
... After four years of hard work, Lena Halounova and her team have prepared an exciting programme reflecting both the scientific work of ISPRS and other activities in the field of geospatial information relevant to ISPRS. ... See full document
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Semantic Data Extraction from Infobox Wikipedia Template
... content. Semantic web allows of creation of such web. Also, Semantic web contents help us to answer rich ...in semantic web is ...structured data as triples from some Wikipedia ... See full document
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Indoor location error-detection via crowdsourced multi-dimensional mobile data
... pressure data, to correct for the errors in both sensing ...readings from multiple supposedly- collocated devices, we figure out the device-specific calibration off- set in the barometric ...barometer ... See full document
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Efficient Latent Semantic Extraction from Cross Domain Data with Declarative Language
... In Chapter 3, we discussed the way to include the 2 nd -n th best hypotheses generated by ASR module in SLU pipeline, which we found could improve the SLU system robustness to ASR er- rors. In a conventional SLU system, ... See full document
127
Estimate Benefits of Crowdsourced Data from Social Media
... the data, and the concern over data quality, resulting in the need to verify and validate crowdsourced ...contributions from crowdsourced ...the crowdsourced data, the ... See full document
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Detection of points of interest from crowdsourced tourism data
... as crowdsourced data are often noisy and extracting meaningful insights from them proves to be a challenging task [9, 6, ...locations from the crowd- sourced positioning ...path from ... See full document
15
Semantic Relation Extraction from a Cultural Database
... Relation extraction can be simplified by focusing on unary relations. Hoffmann et al. (2010) present LUCHS, a self-supervised system that learns a large number of relation-specific extrac- tors. Each extractor is ... See full document
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A survey: Data Extraction on Web Using Semantic Annotation
... Keywords: Semantic web, Annotation, Ontology. I. INTRODUCTION Semantic search is trying to improve the accuracy of relevant search result from database, whether on ...And Semantic Search ... See full document
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Extracting Mobility-Relevant Information from Crowdsourced GPS Data
... processing data, some filters have to be used and algorithms have to be more resilient to ...filtering data, it has to be assured that all needed parameters are ...when location is not retrieved ... See full document
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Extraction of lethal events from Wikipedia and a semantic repository
... the extraction using a process- ing pipeline of available tools for Swedish including a part-of-speech tagger, a de- pendency parser, and manually-written ex- traction ...tured semantic data ... See full document
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Semantic information extraction from images of complex documents
... Field extraction Once the matching algorithm is completed, the field extrac- tion process ...the data types correspond- ing to each text ...obtained from the OCR engine, improving its accuracy ...the ... See full document
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Automatic semantic relation extraction from Portuguese texts
... and semantic relation extraction methods, in ad- dition to focusing on different kinds of relations and us- ing varied quantities of training data, factors that must be taken in account when making ... See full document
8
Using Semantic Data Mining for Classification Improvement and Knowledge Extraction
... of semantic data mining into the DAMIART data mining system can help further improve classification performance and knowledge ex- ...hierarchy extraction from multi-labels and concept ... See full document
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Extraction of Disease Treatment Semantic Relations from Biomedical Sentences
... F-measure for the Prevent class, and 88.89% for the Side Effect class. Some important observations can be drawn from the obtained results: probabilistic and linear models combined with informative feature repre- ... See full document
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Extraction of Semantic Clusters for Terminological Information Retrieval from MRDs
... 3.5. Modifying the strings In order not to manipulate the strings to retrieve biased clusters, definitions were not modified to “tidy up” the data, before being submitted to the main process. No words in ... See full document
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Information Extraction on the Semantic Web
... RDF data a well-defined meaning, vocabularies, rules, and formal ontologies can be created by using the RDF Vocabulary Description Language (RDFS), which is also referred to as RDF Schema, the Rule Interchange ... See full document
238
Location Normalization for Information Extraction
... 1687 location names, which cannot satisfy our ...information from Web search engines such as Google, Yahoo, and Northern Light by searching ambiguous location names in the ... See full document
7
Frame Semantic Tree Kernels for Social Network Extraction from Text
... and data representation We convert examples 2 into two kinds of structured representations: feature vectors and tree struc- ...a data representation that is a combi- nation of features and structures ... See full document
9
Extraction of ontology and semantic web information from online business reports
... electronic data gathering, analysis, and retrieval (EDGAR) online ...for data for benchmarking and recent competitor ...the Semantic Web, is one solution to this problem. The basic Semantic ... See full document
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