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When Indian Matchmaking aired on Netflix, the Internet immediately exploded with theories, questions and memes about its participants. The show followed Sima Taparia, a matchmaker from Mumbai, as she tried to find matches for her clients – one of them being Pradhyuman Maloo. Pradhyuman, a jewellery designer from Mumbai, has now opened up about his experience of participating in Indian Matchmaking and how the Netflix show raised questions about his sexuality in an interview with ‘ Humans of Bombay ‘. In the interview, Pradhyuman also spoke about watching his mother navigate the the male-dominated business of jewellery, the “predetermined” storyline of the show and the mockery that the LGBTQ community has been subjected to. On the show, Pradhyuman was depicted as the South Bombay man who rejected a string of proposals and was completely at ease in the kitchen, whipping up nitrogen fox nuts and fancy drinks with ease. In his interview, he has hinted – like other contestants before him – that his character on the show was given an unfair representation. But 80 hours of filming had been condensed into a minute, predetermined edited storyline, which ignited thousands of comments and debates across the internet. The jewellery designer adds that he saw himself trending on Twitter, where “unsolicited comments assumed I was gay or bisexual, and urged me to come out of the closet.

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Descriptions enable web services to be discovered, used by other web services, and composed into new web services. Web service composition is a mechanism for creating new web services by reusing existing ones. In order to compose a web service, the right primitive services have to be discovered. A matchmaking technique enables discovering these services.

Web Services discovery that locates adequate services, has been studied very actively for better quality of service retrieval. Starting from.

All Systems Operational. Fortnite Operational. Website Operational. Game Services Operational. Login Operational. Parties, Friends, and Messaging Operational. Voice Chat Operational. Matchmaking Operational.

A Web Services Matchmaking Engine for Web Services

This application claims priority to U. Provisional application Ser. This description relates to web services in the in semantic web and, more particularly, to matchmaking of semantic web service behavior using description logics.

Semantic-driven matchmaking of web services using case-based reasoning. In: IEEE International Conference on Web Services (ICWS.

The notion of teaching them to adjust is at the crux of her process, as she works with entire families to find the right partner for their would-be brides and grooms. In some ways, the show is a modern take on arranged marriage, with contemporary dating horrors like ghosting and lacking the skills for a meet-up at an ax-throwing bar. But issues of casteism, colorism and sexism, which have long accompanied the practice of arranged marriage in India and the diaspora, arise throughout, giving viewers insight into more problematic aspects of Indian culture.

As an Indian-American girl growing up in Upstate New York, one part of my culture that was especially easy to brag about was weddings. They were joyful and colorful, and they looked more like a party than a stodgy ceremony. While living under the same roof in quarantine, my mom and I have had a lot of time to watch buzzy Netflix shows together.

But I was hesitant to invite her to watch Indian Matchmaking with me, knowing her marriage to my dad was arranged. Did she like the process? She shared with me some details of how her skin tone affected her life when she was growing up. She was often told not to play outside as a kid, that the sun would make her skin darker and no one would want to marry her. I was saddened to hear this, but it finally made sense to me why Indian relatives and friends had made comments with similar implications to me.

Since its release in mid-July, the show has done more than inspire interpersonal conversations like these.

WEB SERVICE MATCHMAKING BASED ON FUNCTIONAL SIMILARITY IN SERVICE CLOUD

This paper concentrates on the issue of matchmaking in the context of web services. It provides a brief review of the difference between directory services and matchmaking facilities and explains why directories such as UDDI are important but insufficient for web services and need to be complemented with advanced matchmaking facilities. It discusses the requirements that web services place on matchmaking, namely symmetry of information exchange, the ability of each party to specify requirements of the other party, rich languages to describe services and their consumers as well as their demands, and the ability to dynamically update and configure what is being offered.

These requirements are addressed by the Web Services Matchmaking Engine WSME — a powerful matchmaking engine capable of matching complex entities, and a Data Dictionary Tool for defining the language of the corresponding matchmaking process. The WSME matchmaking process and property and rules languages are described. An example of how a dynamic market for selling and buying Capacitors can be created with WSME is given.

Web. Service. Contract. Matchmaking. Here we discuss some research efforts on addressing issues on WS contract matchmaking. In particular, we present an.

As the adoption of service-oriented paradigms in the IoT Internet of Things environment, real-world devices will open their capabilities through service interfaces, which enable other functional entities to interact with them. However, from the perspective of performance, it is inappropriate to find desired services from the service repository online directly. Instead, clustering services offline according to their similarity and matchmaking or discovering service online in limited clusters is necessary.

This paper proposes a multidimensional model-based approach to measure the similarity between IoT services. Then, density-peaks-based clustering is employed to gather similar services together according to the result of similarity measurement. Based on the service clustering, the algorithms of dynamic service matchmaking, discovery, and replacement will be performed efficiently.

Evaluating experiments are conducted to validate the performance of proposed approaches, and the results are promising. The Internet of things IoT integrates user requirement, cyberspace and physical space, which enables the seamless cooperation of human-machine-thing. SOC Service-Oriented Computing proposes techniques for provision, selection, discovery, and composition of Web services, and integrates heterogeneous and complicated software entities together organically [ 1 , 2 ]. As the adoption of service-oriented paradigms in the IoT environment [ 3 ], real-world devices will open their capabilities through service interfaces, which enable other functional entities to interact with them.

With the rapidly growing number of IoT services, discovery and selection for numerous services under the dynamic and large-scale environment of IoT is becoming a crucial task. These solutions act as service platforms that manage millions of services around the world, which enable people to share and monitor environmental data from objects that are connected to the Web. However, most leading middleware solutions provide only limited service discovery and selection functions.

It is effective to discover services through service matchmaking techniques [ 7 , 8 ].

Inproceedings1178

Web services are different from traditional distributed computing models. Web services architectures provide a framework for creating, and deploying loosely coupled applications. One of the consequences of the loose coupling is that any entity that a web service may interact with may not exist at the point of time the web service is developed.

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Toggle navigation. Have you forgotten your login? Book sections. Sofiane Lagraa 2 AuthorId : Author. Hide details. Abstract : Several approaches have been proposed to deal with the web service matchmaking problem. This is a serious drawback in a fast growing In- ternet that is facing the challenge to deal with an increasing number of published services.

The proposed solutions to cope with this limitation consider the pro- cess part of a service description as a graph in the similarity measure. This kind of solutions has better accuracy but suffer from high computational complexity because they rely on time consuming graph matching tools. To avoid this heavy time computing overhead, we propose in this paper a solution that decomposes the process graph into smaller subgraphs and construct similarity of web services based on the similarity of their subgraphs.

Simulation results show that our solu- tion is both accurate and fast to compute. Document type : Book sections. Domain : Computer Science [cs]. Identifiers HAL Id : hal, version 1.

Semantic Inner Product Based Web Service Matchmaking Method

Maria Allauddin and Farooque Azam. International Journal of Computer Applications 36 9 , December Full text available. Service Oriented applications are becoming very popular due to ease of Web services Usage. One use of Web Services in computer applications is its automated Composition. Excess amount of work has been done for automated web service composition but still there is a space to fill out for particular requirements.

Buy Efficient Matchmaking of Business Processes in Web Service Infrastructures by Bendick Mahleko from Waterstones today! Click and Collect from your local.

Discovering Web services and clustering them based on their functionalities are important problems with few existing solutions. Users may search for Web services using keywords and receive services that semantically match the keywords. Semantic Web service matchmaking, proposed to enhance the precision of matchmaking using syntactical cues, is generally based upon semantic service descriptions in ontology markup languages as add-ons or replacements to the underlying WSDL descriptors.

Ways to improve the performance of direct matchmaking in WSDL, however, remains less studied. In this paper, we introduce a novel corpus-based method to facilitate matchmaking in WSDL files. We show that our method can identify semantically similar Web services with satisfactory recall. Corpus-based Web services matchmaking. N2 – Discovering Web services and clustering them based on their functionalities are important problems with few existing solutions. AB – Discovering Web services and clustering them based on their functionalities are important problems with few existing solutions.

Overview Fingerprint. Abstract Discovering Web services and clustering them based on their functionalities are important problems with few existing solutions. Access to Document Link to publication in Scopus. Link to citation list in Scopus.

A Semantic Model for Matchmaking of Web Services Based on Description Logics

Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Feedback abschicken. Zur Langanzeige. JavaScript is disabled for your browser. Some features of this site may not work without it. Zusammenfassung In the Semantic Web the discovery of appropriate Semantic Web Services for a given service request, the so-called matchmaking, is a crucial task in order to bring together Web Service provider and users in an automatic manner.

Evaluation of QoS-Based Web Service Matchmaking Algorithms. Kyriakos Kritikos and Dimitris Plexousakis. Foundation for Research and Technology Hellas.

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