The entity and field data models
Experimental Comparisons of Entity-Relationship and Object Oriented Data Models
... In this experiment we compared the models from a designer perspective, addressing three dimensions: a) design quality, i.e., correctness of schemas; b) time to complete design tasks, and[r] ...
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Evaluation of car following models using field data
... Abstract Traffic congestion problems have been recognised as a serious problem in all large urban areas. It significantly reduces in urban mobility. Therefore, it has become a major concern to the transportation and ...
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SPECIAL PURPOSE ENTITY (SPE) MODELS
... This need not take away from the community ownership, if the project can find even one community member with the financial resources and tax appetite to participate as the primary tax investor. Flip Structure: In this ...
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Gravity field models derived from Swarm GPS data
... These models have been produced from different KOs; the solutions from AIUB were produced on the basis of KOs produced at the same institute and the solutions from ASU and IfG were generated from the KOs pro- ...
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Mastering entity data with the LEM
... • Management. Consistency, quality, timeliness, accuracy and coverage are all relevant issues for legal entity data. Silos in the firm lead to inconsistent, incomplete or obsolete records. Gaps in ...
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Big Data Entity Resolution:
... Attribute clustering blocking [15] exploits schematic in- formation of the descriptions to minimize the number of false matches. To achieve this, prior to token blocking, it clusters attributes based on the similarities ...
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Entity Resolution in Big Data
... meaningless data did not seem very helpful in test ...DBLP data file is not hard to convert since the format is clear for the most ...CiteseerX data file has many records with faulty format, so to ...
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Entity Resolution and Data Fusion:
... of data fusion results to vary- ing of the post-processing 1-1 matching ...the data fusion correspond to the changes in the configurations sparker (and therefore in the different Match Ta- bles ...its ...
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Unsupervised Named Entity Classification Models and their Ensembles
... 2.4 Post-Processing After the learning, the system modifies test examples by using a rule, one sense per discourse. One sense per discourse means that the sense of a target word is highly consistent within any given ...
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Hybrid Models for Chinese Named Entity Recognition
... the data as points in a high-dimensional feature space, the goal is to fit a hyperplane between the positive and negative examples so as to maximize the distance between the data points and the hyper- ...
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Optimization of textual affect entity relation models
... In the second paragraph, since ‘regard’ comes after the entities ‘Putin’ and ‘Russia’, only the reverse random walk ranks are considered for them. 5. Combine Evidences Many documents contain multiple affect tokens ...
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Dynamic Entity Representations in Neural Language Models
... ment data to find the best ...test data are reported in Table ...test data, we are able to calcu- late perplexity by marginalizing all other random variables using Equation ...test data, our ...
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Benchmarks and models for entity oriented polarity detection
... 6 Results are statistically significant at p < 0.05 or lower. 7 Conclusion We address the problem of entity-oriented business polarity detection. The main contributions are: I. a dataset of 17,000 annotated ...
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Semi-Markov Models for Named Entity Recognition
... semi-Markov models which relaxes usual Markov assumptions made in hidden Markov mod- ...Semi-Markov models classify segments of adjacent words, rather than single ...semi-Markov models. Importantly, ...
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Field Data Collection, Evaluation and Use for Corrosivity Prediction and Validation of Models
... CORROSION FIELD DATA The corrosion field data were collected by the operators representatives in the joint industry ...the field data used for models evaluation were ...
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Comparative Analysis of Propagation Path loss Models with Field Measured Data
... loss models may give different results if they are used in different environment other than in which they were ...propagation models with measured field ...the field measured data. The ...
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Data Modeling with Entity-Relationship Diagrams
... Obviously a video may be rented over and over. The BigHit Video business de- pends on collecting money for renting each video many times. However, a major dis- tinction exists between videos that are currently rented to ...
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Data to text Generation with Entity Modeling
... to data-to-text generation have shown great promise thanks to the use of large-scale datasets and the application of neural network architectures which are trained ...These models rely on represen- tation ...
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Resolving Entity Morphs in Censored Data
... rank framework. Finally, the top ranked can- didate is produced as the resolved target. 3 Target Candidate Identification The general goal of the first step is to identify a list of target candidates for each morph query ...
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Named Entity Disambiguation in Streaming Data
... named entity disambiguation task is to re- solve the many-to-many correspondence be- tween ambiguous names and the unique real- world ...annotated data, however, are hard to be ob- tained in streaming ...
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