Social bookmarking tools become more and more popular nowadays and tagging is used to organize information and allow users to recall or search the resources. Users need to type the tags whenever they post a resource, ...
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Social bookmarking tools become more and more popular nowadays and tagging is used to organize information and allow users to recall or search the resources. Users need to type the tags whenever they post a resource, so that a good tag recommendation system can ease the process of finding some useful and relevant keywords for users. Researchers have made lots of relevant work for recommendation system, but those traditional collaborative systems do not fit to our tag recommendation. In this paper, we present two different methods: a simple language model and an adaption of topic model. We evaluate and compare these two approaches and show that a combination of these two methods will perform better results for the task one of PKDD Challenge 2009.
This paper presents an undertaken research work about the development of an Adaptive Tourism Modeling System which attempts to correctly model a tourism web application user profile. This paper will follow the methodo...
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New application domains ranging from the area of computational science (e.g. CERN Datagrid) to international business processes (e.g. Wal-Mart logistics) demand ever increasing storage capacities on a global scale. Th...
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Ontologies have become the de-facto modeling tool of choice, employed in a variety of applications and prominently in the Semantic Web. Nevertheless, ontology construction remains a daunting task. Ontological bootstra...
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Ontologies have become the de-facto modeling tool of choice, employed in a variety of applications and prominently in the Semantic Web. Nevertheless, ontology construction remains a daunting task. Ontological bootstrapping, which aims at automatically generating concepts and their relations in a given domain, is a promising technique for ontology construction. Bootstrapping an ontology based on a set of predefined textual sources, such as Web services, must address the problem of multiple concepts that are largely unrelated. This paper exploits the advantage that Web services usually consist of both WSDL and free text descriptors. The WSDL descriptor is evaluated using two methods, namely Term Frequency/Inverse Document Frequency (TF/IDF) and Web context *** propose an ontology bootstrapping process that integrates the results of both methods and validates the concepts using the free text descriptors, thereby offering a more accurate definition of ontologies.
Several semantic based user profile approaches have been introduced in the literature to learn the users' interests for personalized search. However, many of them are ill-suited to cope with a domain of informatio...
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Modern smart buildings utilize sensor networks for facilities management applications such as energy monitoring. However as buildings become progressively more embedded with sensor networks, the challenge of managing ...
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To realize the vision of the semantic web it is essential to be able to exchange formal modeled knowledge between applications and humans without loss of meaning. In this paper, we focus on questions relating to meani...
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To realize the vision of the semantic web it is essential to be able to exchange formal modeled knowledge between applications and humans without loss of meaning. In this paper, we focus on questions relating to meaning, interpretation and subject identity in modern semantic web languages. Based on the semiotic triangle we show that topics as well as RDF resources are symbols, representing concepts and not referents as the common term "subject" would indicate. A subject can not be represented as a single entity, but rather as a complex and evolving system of different concepts. Based on this insight we explain how the resulting plurality and uncertainness of the interpretation of symbols can be handled using semantic mappings. By defining transformation rules, the exchange and integration of knowledge from different semantic models becomes possible. Concluding we define recommendations and design guidelines for a semantic mapping management system, which is needed to support users and applications in creating, reusing, managing and applying such semantic mappings.
Flow graph is an effective and graphical tool of knowledge representation and analysis. It explores dependent relation between knowledge in the form of information flow quantity. However, the quantity of flow can not ...
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Business-to-business workflow interoperation across Virtual Organisations (VOs) brings about possibilities for novel business scenarios. In such business scenarios, parts of workflows corresponding to different partne...
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In this paper we give a brief history on conceptual modeling in computerscience and we discuss state-of-the-art approaches. It is claimed that a number of problems remain to be solved. "Schema-first" is no ...
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