Valentine’s Day is all about celebrating the coming together of two parties who are made for each other. That’s as true when it comes to semantic technology as it is for two people – sort of.
Yes, semantic tech aligns with the concept of matchmaking in its own ways. They aren’t always as romantic as a quiet dinner with a bottle of wine and a bouquet of roses, but hey, love comes in many forms. Here’s a quick look at semantic tech and its role in matchmaking, of various kinds:
- In the journal Concurrency and Computation: Practice and Experience you’ll find the work Semantic Web Service Matchmakers: State of the Art and Challenges. The semantic matchmakers it’s talking about get involved in helping developers partner up with the right web services: The mission of Web service discovery, its abstract explains, is to seek an appropriate Web service for a service requester on the basis of the service descriptions in Web service advertisements and the service requester’s requirements. But a problem in that discovery process is ambiguity, because the standard language used for encoding service descriptions does not have the capacity to specify the capabilities of a Web service. According to the abstract of the article, “This brings up the vision of Semantic Web Services and Semantic Web Service discovery, which make use of the Semantic Web technologies to enrich the semantics of service descriptions for service discovery. Semantic Web Service matchmakers are the programs or frameworks designed to implement the task of Semantic Web Service discovery.” The paper surveys and analyzes typical, contemporary Semantic Web Service matchmakers across six technical dimensions.
- From the Journal of Electronic Commerce Research, Evaluating and Ranking Semantic Offers According to Users’ Interests proposes a more user-oriented and personalized system to evaluate offers online of goods or services that catches the differences between the purchasing interests of different buyers, and recommends a different best offer to each one. Returning a ranked list of offers is a very important task for semantic matchmaking systems in e-commerce, it says, but most semantic matchmakers rely on common, standard ontologies for that. Its idea is to take into account users’ interests by bringing them into the ontology to be able to identify the differences between users’ individual needs.
- Alright, once you’ve filled up on the hard science, semantic tech won’t let you down on the chemistry end of things, either. eMatchopolis, for example, wants to connect web site owners with its online dating platform that offers them the resources to create and manage their own dating website. Behind the platform is its eMatchology semantics matchmaking technology that’s derived from artificial intelligence. The platform, it says, “goes beyond simple matches and intelligently matches people on levels never even imagined possible. The more your users use eMatchology, the better their matches become.”
Here’s to a happy Valentine’s Day!