Di Noia , E. Di Sciascio , F. Donini Submitted on 12 Oct Abstract: Matchmaking arises when supply and demand meet in an electronic marketplace, or when agents search for a web service to perform some task, or even when recruiting agencies match curricula and job profiles. In such open environments, the objective of a matchmaking process is to discover best available offers to a given request. We address the problem of matchmaking from a knowledge representation perspective, with a formalization based on Description Logics. We devise Concept Abduction and Concept Contraction as non-monotonic inferences in Description Logics suitable for modeling matchmaking in a logical framework, and prove some related complexity results. We also present reasonable algorithms for semantic matchmaking based on the devised inferences, and prove that they obey to some commonsense properties. Finally, we report on the implementation of the proposed matchmaking framework, which has been used both as a mediator in e-marketplaces and for semantic web services discovery.

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To further that effort, today we are introducing similarity search on Flickr. In many ways, photo search is very different from traditional web or text search. First, the goal of web search is usually to satisfy a particular information need, while with photo search the goal is often one of discovery; as such, it should be delightful as well as functional. We have taken this to heart throughout Flickr.

Second, in traditional web search, the goal is usually to match documents to a set of keywords in the query.

Web Service matchmaking ensured the availability of the discovered service, is a critical issue for Web Service discovery. In this paper we proposed a Semantic Inner Product based Web Service Matchmaking method (SIP-WSM).

Learning User Profiles from Text for Personalized Information Access Abstract Advances in the Internet and the creation of huge stores of digitized text have opened the gateway to a deluge of information that is difficult to navigate. Although the information is widely available, exploring Web sites and finding information relevant to a user’s interests is a challenging task.

The first obstacle is research, where you must first identify the appropriate information sources and then retrieve the relevant data. Then, you have to sort through this data to filter out the unfocused and unimportant information. Lastly, in order for the information to be truly useful, you must take the time to figure out how to organize and abstract it in a manner that is easy to understand and analyze. To say the least, all of these steps are extremely time consuming. This “relevant information problem” leads to a clear demand for automated methods able to support users in searching large document repositories in order to retrieve relevant information with respect to their preferences.

Catching user interests and representing them in a structured form is a problematic activity. Algorithms designed for this purpose base their relevance computations on so-called user profiles in which representations of the users’ interests are maintained. The central argument of this dissertation is the use of Supervised Machine Leaning techniques to induce user profiles from text data for Intelligent Information Access.

Intelligent Information Access is a user-centric and semantically rich approach to access information:

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Dynamic Semantic Matchmaking for Stream Data and Knowledge, UK For this scholarship students should have a commitment to interdisciplinary research and should have a strong background in computer science or a closely related discipline Study Subject: University of Aberdeen Level: The goal of the project is to develop novel ontological stream reasoning techniques to support dynamic semantic matchmaking, such as those needed in business networks. This PhD will explore the issues associated with ontological stream reasoning and dynamic semantic matchmaking, and in particular will investigate the role of novel reasoning techniques, such as faithful approximations, to support incremental reasoning, not only with stream data but potentially also with stream knowledge, and how to integrate and exploit an ontological stream reasoner in a semantic social network.

Evaluations of the project include the performance of the ontological stream reasoning services and its usefulness in the integrated semantic social network.

Semantic eb.W Nonetheless, OWL is the current recommendation of the W3C. Proceedings of the 1st International Workshop on Semantic Matchmaking and Resource Retrieval (SMR 06) Co-located with VLDB , Seoul,

The historical records of mechanical fault contain great amount of important information which is useful to identify the similar fault, but the structural representation and the knowledge reasoning problem are troubled that we use the historical records effectively. Aiming at the problem, the fault knowledge representation based on ontology is put forward out. Firstly, the knowledge characteristics, the ontology building significance and principle of fault are analyzed.

Secondly, the fault ontology is defined and described. The case study shows that the fault knowledge representation based on ontology is very intuitive and efficient; it can provide us a novel way to deal with the fault diagnosis problem. At the moment, the flexibility of the workflow definition language is not enough, various products lack operation quality between each other, and the compatibility is bad. Aiming at this situation, this thesis defines one kind of workflow model with component based on XPDL, which causes pattern description and process definition to be simply, and enables the separation between process definition and performing to become possible, so that it can truly realize the universal process definition, communication and interpretation.

This paper introduces a new method for the communication between human and product model entity definition processes. As product definition is moving into modeling in industrial product lifecycle management PLM systems, and built-in knowledge and intelligent computing content of product models increase, development of product modeling faces new challenges. More often, knowledge content is not in accordance with authorized human intent and different intents of different authorized humans for the same task are not in harmony.

At the same time, authorized human needs help to understand decisions of other humans at application and modification of existing entity definitions in product model.

Semantic matchmaking Local Closed-World Reasoning

Dear Wendy is a relationship advice blog. You can read about me here , peruse the archives here and read popular posts here. You can also follow along on Facebook and Instagram. This one originally ran on March 11th.

automatically according to the proposed semantic matchmaking rules. The run-time subsystem is responsible for discovering the potential web services and nonredundant web services composition of a user’s query using a graph-based searching.

Share One man fasted for over a year and survived. How far can you go without risking your health? Thinkstock If you were an avid newspaper reader in , you might have seen a strange little story from United Press International. In his case, it was literally a broken fast, one that had begun more than a year before. Varady says that a starvation study would violate the Declaration of Helsinki, which established guidelines for human experimentation with an emphasis on the welfare of the subject.

The only difference is semantic. Throughout history, fasting was mostly a religious practice, and still is for Muslims during Ramadan. For weight loss, though, the story probably begins with Bernarr Macfadden in the early 20th century. Macfadden was an influential health and fitness guru who was often far ahead of his time. He advocated strength training for both men and women, condemned white bread for its empty calories, and argued that tobacco caused both lung cancer and heart disease.

But when he was wrong, he was spectacularly, insanely wrong.

Semantic Inner Product Based Web Service Matchmaking Method

The Semantic Web Blog recently had the opportunity to converse via email with Kotis on the topic: Tell us a little bit about your background and how you have come to the Internet of Things as a focus of your semantic efforts. My research focus has been always on Knowledge Representation and Semantic Web technologies, with emphasis on the problem of semantic interoperability ontology alignment methods and tools.

We myself and the scientific coordinator of the program, Dr. Artem Katasonov have worked towards a framework and a prototype system that demonstrated how it is possible to automatically interoperate heterogeneous IoT solutions and devices in IoT settings using an IoT ontology as a semantic registry — e. A short video of this demo is available here and a related poster is also available here.

was founded in as a Spin-Off of the University of Modena and Reggio Emilia to deliver the Open Source version of the MOMIS Data Integration System developed by the ver offers Data Integration, Information Management, Business Intelligence and Clinical Data Management solutions.

The World Wide Web is changing. While once conceived of and implemented as a collection of static pages for browsing, it now promises to become a web of services–a dynamic aggregate of interactive, automated, and intelligent services that interoperate via the Internet. Multiple web services will interoperate to perform tasks, provide information, transact business, and generally take action for users, dynamically and on demand.

Such prospects are especially important for the e-business community, providing opportunities for conducting business faster, more efficiently, and with greater ease than ever before. For instance, the opportunity to manage supply chains dynamically, to achieve market advantage, is expected to increase productivity and add value to products. On the other hand, automatic management of supply chains presents new challenges. In these pages, we present our Semantic Matchmaker, an entity that will allow web services to locate other services, provide a solution to the problem of matching, and allow for full implementation of interoperative service providers on the web.

We show how semantic matching between advertisements and requests is performed. Semantic Matchmaking for Web Services Discovery First, we focus on the problem of locating web services on the basis of the capabilities that they provide. The solution to this problem requires a language to express the capabilities of services, and the specification of a matching algorithm between service advertisements and service requests, one that recognizes when a request matches an advertisement.

We adopt OWL-S as a service description language, because it provides a semantically-based view of of web services, including the abstract description of the capabilities of the service, the specification of the service interaction protocol, and the actual messages that it exchanges with other web services.

The ability of OWL-S to describe the semantics of web services can be contrasted with emerging XML-based standards as connected to web services. Standards such as SOAP and WSDL are designed to provide descriptions of message transport mechanisms, and for describing the interface used by each service.

A semantic matchmaking system for online dating

Tweet Semantic Web services follow a life cycle, right from deployment to its invocation. The life cycle of Semantic Web services comprises different stages like service modeling, service discovery, service definition and service delivery. The life cycle begins with modeling the web service and the service request by the provider and the consumer respectively.

Service descriptions are used in the discovery stage on which discovery algorithms, matchmaking techniques are applied. Once a set of service providers are identified for a service requester, service definition takes place to select the concrete service. Finally, the concrete service is delivered to the service requester in the delivery phase.

Semantic Matchmaking Services Model Okkyung Choi, Sangyong Han, Ajith PDF document – DocSlides- among the functional description match or not. The matchmaking system must support input and output through the repository and enable service browsing, Matchmaking Algorithm The match between re ID:

A semantic matchmaking system for online dating Wilson, E. A semantic matchmaking system for online dating. Download PDF Abstract The popularity of the online dating industry has grown immensely over the past decade. There is an abundance of online dating websites with various features to attract users. The Semantic Web is a major endeavor that aims to have information on the web be not only machine-readable but also machine understandable.

Online dating is a good candidate for such a service since it is based primarily on user provided information. By organizing user information in a comprehensive knowledge base users can be matched more efficiently. In this thesis, semantic web tools, such as ontology languages and reasoning software, were investigated to determine which ones would work best in the online dating website model.

An ontology is presented that models the properties of user profiles on a dating website, as well as a semantic matching system. Rules and reasoning are used to infer additional facts about users to be used in the matching process, therefore providing a more accurate match.


One challenge of service coordination in the semantic Web is concerned with how to best connect the ultimate service requester with the ultimate service provider? Like intermediaries in the physical economy, a special kind of software agents, so called middle-agents, is supposed to solve this problem based on the declarative characterization of the capabilities of both service requester and provider agents.

In fact, the standard Web service interaction life cycle corresponds to the classical service matchmaking process. More generally, resource retrieval extends the notion of service matchmaking to the process of discovering any kind of resource services, data, information, knowledge for given settings, participating entities, and purposes. It is at the core of several scenarios in the Semantic Web area, spanning from web-services, grid computing, and Peer-to-Peer computing, to applications such as e-commerce, human resource management, or social networks applications such as mating and dating services.

English Vocabulary Word List Alan Beale’s Core Vocabulary Compiled from 3 Small ESL Dictionaries ( Words).

Its methods find innovative applications on and off the world wide web. Its underlying technologies have significant impact on adjacent fields of research and on industrial applications. This new book series reports on the state-of-the-art in foundations, methods, and applications of semantic web and its underlying technologies. It is a central forum for the communication of recent developments and comprises research monographs, textbooks and edited volumes on all topics related to the semantic web.

In this first volume several non-monotonic extensions to description logics DLs are investigated, namely auto-epistemic DLs, circumscriptive DLs and terminological default rules, all of which extend standard DL inference mechanisms by forms of closed-world and default reasoning associated to common-sense features. A matchmaking framework is established for semantic resource descriptions formulated in the DL formalism that uses various DL inferences to judge resource compatibility. The particular contributions of Semantic Matchmaking with Nonmonotonic Description Logics span the fields of non-monotonic reasoning with description logics in artificial intelligence, matchmaking of ontology-based descriptions and semantic web service discovery.

semantic web

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