SIKS Dissertations

The description of the behavior of the requested web service and the description of the behavior of the computing service conform to a description logic. Based on logical rules of the description logic, it is determined that the description of the behavior of the existing computing service is subsumed by the description of the behavior of the requested web service. For example, users may implement or access a software application to obtain a stock quote or an airline reservation, or to manage aspects of a business enterprise. Particular functions of software applications may be implemented as more or less discrete components, and may thereby be used in a variety of contexts. For instance, the example just given of software for obtaining a stock quote may be implemented in a software component that may then be deployed into many other software applications, such as, for example, a stock price charting tool or a daily stock price reporting tool. Such re-use of software application components may, among other advantages, increase the efficiency and reliability of the components themselves, and of other applications that make use of the components, as well as reducing software development and maintenance costs. Additionally, discrete software functionality also may be provided by permitting access to the functionality to outside parties, perhaps over a computer network.

A semantic matchmaking system for online dating

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An important objective of the Semantic Web is to make Electronic Commerce interactions more flexible and automated. To achieve this, standardization of ontologies, message content and message protocols will be necessary.

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.

The Google file system

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.

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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:

PhD Studentship: Dynamic Semantic Matchmaking for Stream Data and Knowledge, UK

Background[ edit ] Given that an AI does not inherently have language, it is unable to think about the meanings behind the words of a language. An artificial notion of meaning needs to be created for a strong AI to emerge. Creating an artificial representation of meaning requires the analysis of what meaning is. There are many terms associated with meaning, like semantics, pragmatics, knowledge, understanding or word sense [4].

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By adding constraints over aspects that the Seeker is interested in, the query can be used to filter out irrelevant advertisements. There are two kinds of queries that can be defined: The persistent query is a query that will remain valid for a length of time defined by the Seeker itself. The Host immediately returns matched advertisements that are currently present in the repository.

Within the validity period of the query, whenever a matching advertisement is added to the repository or an advertisement is modified so that it becomes a match , the Host will notify the Seeker with a new set of matched advertisements including those that have been changed or have been added. The persistent query is automatically removed when the validity period is ended. After the advertiser published his advertisement to the Host, the Host notifies an ID indicating the advertisement to the advertiser.

Later on, this ID is used between the Host and the advertiser to specify which advertisement is to be modified or withdrawn. There is an obvious security issue involved, but we simply assume that all the partners in this framework are trusted.


The identification, specification, allocation, and coordination of tasks that will not be done. A usual event dog bites man is not news. It’s human interest, and can be reported only if it helps the reporter score a political point. Nevertheless, the literal event does occur fairly regularly. One very common situation is that of criminal fugitives biting police dogs. The second-most common situation seems to be that of pet owners counter-attacking dogs that attack their own dogs — dog’s best friend ‘n’all that.

Read “A semantic framework for intelligent matchmaking for clinical trial eligibility criteria, ACM Transactions on Intelligent Systems and Technology (TIST)” on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.

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.

Describe for us what an ontology of the Internet of Things is all about. An ontology for the Internet of Things provides all the necessary semantics for the specification of IoT devices as well as the specifications of the IoT solution input, output, control logic that is deployed using these devices.

Prof. Dr. Dr. h.c. Sahin Albayrak

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.

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.

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. A novel tableaux calculus for reasoning in circumscriptive DLs is introduced and it is demonstrated how the various nonmonotonic extensions to description logics can be used to realize common-sense features and local closed-world reasoning in a semantic web setting in general.

How NGOs and NPOs Make Use of Linked Data

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