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[PDF] Top 20 Harvesting models from web 2.0 databases

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Harvesting models from web 2.0 databases

Harvesting models from web 2.0 databases

... The date of receipt and acceptance will be inserted by the editor Abstract Data rather than functionality, is the source of competitive advantage for Web2.0 applications such as wikis, blogs and social networking ... Voir le document complet

23

An Access Control Model for Web Databases

An Access Control Model for Web Databases

... that from each of its nodes there is an edge to the next node in the ...infer models of the expected, legitimate sequences of SQL queries generated by the ... Voir le document complet

9

Top-Down Model-Driven Engineering of Web Services from Extended OpenAPI Models

Top-Down Model-Driven Engineering of Web Services from Extended OpenAPI Models

... Context. Web services are key elements of many digital ...benefit from separating concerns: web services centralizing data and business logic have different life cycles than the several user ... Voir le document complet

5

Automating {UML} Models Merge for Web Services Testing

Automating {UML} Models Merge for Web Services Testing

... iTac-QoS (iTac Tests And Certifies Quality of Services [20]) is a quality evaluation framework for WS. It relies on a UDDI server, and provides quality information based on tests. Fig- ure 1 shows the evaluation process, ... Voir le document complet

13

3-Level Behavioural Models for Semantic Web Services

3-Level Behavioural Models for Semantic Web Services

... translation from Cashew to UML and a (partial) reverse-translation, and to ...WSMO web service chore- ographies for automatic composition, and exports its results as valid UML2AD ... Voir le document complet

28

Clever generation of rich SPARQL queries from annotated relational schema: application to Semantic Web Service creation for biological databases

Clever generation of rich SPARQL queries from annotated relational schema: application to Semantic Web Service creation for biological databases

... biological databases: (i) TropGene, a relational database that contains 90 tables and 15 million records; and (ii) OryGenesDB, which contains 11 tables and 22 million ...of Web SWS generation and not during ... Voir le document complet

16

CALPHAD formalism for Portland clinker: thermodynamic models and databases

CALPHAD formalism for Portland clinker: thermodynamic models and databases

... 3. The CALPHAD method: a predictive tool for the thermodynamics of clinkers? The main interest of the CALPHAD method is its ability to predict a ternary system from well-evaluated binary sub-systems. The ... Voir le document complet

22

Learning probabilistic relational models with (partially structured) graph databases

Learning probabilistic relational models with (partially structured) graph databases

... proposed in order to solve this task are inspired from the classical approaches used to learn Bayesian Networks. RGS (Relational Greedy Search) [11], [4] is the main score-based approximate approach proposed to ... Voir le document complet

9

Semantic models in Web based Educational System integration

Semantic models in Web based Educational System integration

... Starting from the technical so- lution originally adopted by Educlever, mainly based on a relational database of educational resources and a graph database of educational concepts and skills indexing these ... Voir le document complet

13

DAPER joint learning from partially structured Graph Databases

DAPER joint learning from partially structured Graph Databases

... relational models, named Directed Acyclic Probabilistic Entity Relationship (DAPER) models, from partially structured ...ing from a relational ...identified from data, and then the ... Voir le document complet

11

WebChild: Harvesting and Organizing Commonsense Knowledge from the Web

WebChild: Harvesting and Organizing Commonsense Knowledge from the Web

... As a demonstration of the high quality that our method achieves, we evaluate its precision@5, in comparison to the top-5 re- sults from Google Sets. We did this for the following 10 test cases (5 common nouns and ... Voir le document complet

11

Probabilistic relational models learning from graph databases

Probabilistic relational models learning from graph databases

... 2.5 Inference in PGMs 27 and bounded tree-width hypertrees ( Srebro, 2003 ). ( Pietra et al., 1997 ) propose a standard approach which performs a top-down search. At each step, it creates candidate features by ... Voir le document complet

154

Harvesting commonsense and hidden knowledge from web services

Harvesting commonsense and hidden knowledge from web services

... 3.4.3 From Questions to Assertions Open information extraction (Open IE) [ 84 ], based on patterns, has so far focused on assertive patterns applied to assertive ... Voir le document complet

184

A New Histogram-based Descriptor for Images Retrieval from databases

A New Histogram-based Descriptor for Images Retrieval from databases

... a) b) c) Fig.3: Illustration of a) d-TASS function, b) ASSF function and c) DSSF function. 3 Definition of the proposed descriptor As said before, the proposed shape descriptor is based on the histograms of the d- TASS ... Voir le document complet

13

Constraints on the CKM angle gamma in B[superscript 0]-->D[over-bar][superscript 0]K[superscript *0] and B[superscript 0]-->D[superscript 0]K[superscript *0] from a Dalitz analysis of D[superscript 0] and D[over-bar][superscript 0] decays to K[subscript S

Constraints on the CKM angle gamma in B[superscript 0]-->D[over-bar][superscript 0]K[superscript *0] and B[superscript 0]-->D[superscript 0]K[superscript *0] from a Dalitz analysis of D[superscript 0] and D[over-bar][superscript 0] decays to K[subscript S] pi+ pi-

... uncertainty from the Dalitz model used to de- scribe true D 0 ! K S  þ   decays is evaluated on data by repeating the fit with models alternative to the nominal one, as described in detail in [ 5 ... Voir le document complet

11

Provenance and Probabilities in Relational Databases: From Theory to Practice

Provenance and Probabilities in Relational Databases: From Theory to Practice

... Exploiting the data structure. An alternative is to exploit the fact that the structure of the data is not arbitrary. Indeed, if the data has the structure of a tree, or has a low treewidth, meaning that its structure is ... Voir le document complet

12

Avian-inspired energy-harvesting from atmospheric phenomena for small UAVs

Avian-inspired energy-harvesting from atmospheric phenomena for small UAVs

... [ 2 , 3 ] birds use several strategies of energy-harvesting, which serve as an inspiration for all the current improvements in the field of UAV long endurance ...copies from nature to practical ... Voir le document complet

21

Using Probabilistic Relational Models to Generate Synthetic Spatial or Non-spatial Databases

Using Probabilistic Relational Models to Generate Synthetic Spatial or Non-spatial Databases

... I. I NTRODUCTION Synthetic or artificial datasets are essential for evaluating data mining algorithms, database applications, or any system that deals with data and/or databases when it is expensive to evaluate ... Voir le document complet

13

Building species trees from larger parts of phylogenomic databases

Building species trees from larger parts of phylogenomic databases

... resulting from speciation events as opposed to duplication events, and then apply a traditional supertree method letting the weight of evidence decide in favor of one candidate species tree ... Voir le document complet

18

Powering a Commercial Datalogger by Energy Harvesting from Generated Aeroacoustic Noise Powering a Commercial Datalogger by Energy Harvesting from Generated Aeroacoustic Noise

Powering a Commercial Datalogger by Energy Harvesting from Generated Aeroacoustic Noise Powering a Commercial Datalogger by Energy Harvesting from Generated Aeroacoustic Noise

... The transducer has been flush-mounted in the wind tunnel and submitted to a grazing flow up to Mach 0.6. The AC voltage has been measured across a variable resistor directly connected to the piezoelectric membrane. ... Voir le document complet

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