scholarly journals A Case Study of Question Answering in Automatic Tourism Service Packaging

2013 ◽  
Vol 13 (Special-Issue) ◽  
pp. 143-152 ◽  
Author(s):  
Liu Wang ◽  
Lejian Liao ◽  
Kai Yang ◽  
Hai Tan
Keyword(s):  
Web Services ◽  
Question Answering ◽  
Hierarchical Task Network ◽  
User Query ◽  
Great Progress ◽  
Tourism Service ◽  
Content Modeling ◽  
Novel Model ◽  
Content Information

Abstract While Web Question Answering System (WQAS) has made great progress in Internet currently, a major limitation of the information sources that current WQASs are using is limited to static page texts. Content information that many users-are interested in, is provided dynamically to Web through programs. Web services are becoming the dominant forms of such sorts of programs. In this paper, a novel model is proposed to address the problem of natural language answering based Web services. The expansions of OWL-S are used to describe the services, and predicate tuples retrieved from questions are matched to the services by PROLOG reasoning. To plan the services, SHOP2 planner is introduced in our architecture, which adopts a semantic Web for content modeling, logic grammar for question parsing, and Hierarchical Task Network (HTN) for user query problem solving. A case study in e-Tourism domain is investigated, which implements dynamic packaging for tourism products.

Parallelizing Web Service Upload \ Download files

2018 ◽  
Vol 8 (3) ◽  
pp. 15
Author(s):  
Mustapha Mohammed Baua'a
Keyword(s):  
Web Services ◽  
Response Time ◽  
Web Service ◽  
File System ◽  
Programming Environment

The I\O file system Read\Write operations are considered the most significant characteristics. Where, many researchers focus on their works on how to decrease the response time of I\O file system read\write operations. However, most articles concentrate on how to read\write content of the file in parallelism manner. Here in this paper, the author considers the parallelizing Read\Write whole file bytes not only its contents. A case study has been applied in order to make the idea more clear. It talks about two techniques of uploading\downloading files via Web Service. The first one is a traditional way where the files uploaded and downloaded serially. While the second one is uploaded\ downloaded files using Java thread in order to simulate parallelism technique. Java Netbeans 8.0.2 have been used as a programming environment to implement the Download\Upload files through Web Services. Validation results are also presented via using Mat-lab platform as benchmarks. The visualized figures of validation results are clearly clarifying that the second technique shows better response time in comparison to the traditional way.

Assessing Bypassed Hydrocarbons

2021 ◽  
Author(s):  
Stanley Oifoghe ◽  
Nora Alarcon ◽  
Lucrecia Grigoletto
Keyword(s):  
Continental Shelf ◽  
Reservoir Characterization ◽  
Gamma Ray ◽  
West African ◽  
The Novel ◽  
The West ◽  
Present Case Study ◽  
Novel Model

Abstract Hydrocarbons are bypassed in known fields. This is due to reservoir heterogeneities, complex lithology, and limitations of existing technology. This paper seeks to identify the scenarios of bypassed hydrocarbons, and to highlight how advances in reservoir characterization techniques have improved assessment of bypassed hydrocarbons. The present case study is an evaluation well drilled on the continental shelf, off the West African Coastline. The targeted thin-bedded reservoir sands are of Cenomanian age. Some technologies for assessing bypassed hydrocarbon include Gamma Ray Spectralog and Thin Bed Analysis. NMR is important for accurate reservoir characterization of thinly bedded reservoirs. The measured NMR porosity was 15pu, which is 42% of the actual porosity. Using the measured values gave a permeability of 5.3mD as against the actual permeability of 234mD. The novel model presented in this paper increased the porosity by 58% and the permeability by 4315%.

Square peg, round hole: A case study on using Visual Question & Answering in Games

2021 ◽  
Author(s):  
Paulo Bala ◽  
Valentina Nisi ◽  
Mara Dionisio ◽  
Nuno Jardim Nunes ◽  
Stuart James
Keyword(s):  
Question Answering ◽  
Round Hole ◽  
Visual Question Answering

Mapping OWL-S Process Model to Timed Automata

2018 ◽  
Vol 11 (1) ◽  
pp. 29-48
Author(s):  
Amel Boumaza ◽  
Ramdane Maamri
Keyword(s):  
Web Services ◽  
Process Model ◽  
Timed Automata ◽  
Automatic Verification ◽  
Covering Problems ◽  
Field Verification ◽  
Starting Point ◽  
Quantitative Properties ◽  
Time Systems

The conversion of web services to semantic web comes the opportunity to automate various tasks. OWL-S plays a key role in describing web services behaviour. While ontology-based semantics given to OWL-S is structural rather than behaviourally oriented, we cannot automate an essential task in this field, verification. In this article, the mapping of OWL-S process model to Timed automata is investigated, which is a suitable formalism for real time systems modeling and automatic verification. Hence, this has led to not only enabling automatic verification but also covering problems related to automated verification of temporal quantitative properties as bounded liveness property. As a starting point, the OWL-S and sub entry of time ontologies for describing the timed behaviour of services has been chosen. A defined set of mapping rules is used to automatically encode control constructs defined in OWL-S and temporal information into timed automata. Also, it is shown how a Uppaal checker is used to check required properties formulated in TCTL. Finally, an EClinic case study is used to illustrate the technique.

scholarly journals Measuring Machine Intelligence Through Visual Question Answering

AI Magazine ◽  
2016 ◽  
Vol 37 (1) ◽  
pp. 63-72 ◽  
Author(s):  
C. Lawrence Zitnick ◽  
Aishwarya Agrawal ◽  
Stanislaw Antol ◽  
Margaret Mitchell ◽  
Dhruv Batra ◽  
...  
Keyword(s):  
Question Answering ◽  
Machine Intelligence ◽  
Image Captioning ◽  
Visual Question Answering ◽  
Language And Vision ◽  
Measuring Machine

As machines have become more intelligent, there has been a renewed interest in methods for measuring their intelligence. A common approach is to propose tasks for which a human excels, but one which machines find difficult. However, an ideal task should also be easy to evaluate and not be easily gameable. We begin with a case study exploring the recently popular task of image captioning and its limitations as a task for measuring machine intelligence. An alternative and more promising task is Visual Question Answering that tests a machine’s ability to reason about language and vision. We describe a dataset unprecedented in size created for the task that contains over 760,000 human generated questions about images. Using around 10 million human generated answers, machines may be easily evaluated.

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