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The vision of the Semantic Web is to lift current Web into semantic repositories where heterogeneous data can be queried and different services can be mashed up. The Web becomes a platform for integrating data and services. The paper discusses the MuzkMesh music portal which mashups existing semantic music data from the Linked Open Data (LOD) bubbles and other common APIs. It aims to demo the power...
Ever increasing efforts are spent in developing techniques and tools for a full exploitation of semantics in mobile environments, able to overcome volatility and resource limitations of mobile contexts. This paper presents a platform-independent mobile semantic discovery framework as well as a working prototypical implementation which enables advanced knowledge-based services taking into account user's...
This work presents an unsupervised snippet-based sentiment classification method for Chinese unknown sentiment phrases, which is also applicable to other languages theoretically. Unlike existing Semantic Orientation (SO) methods, our proposed method does not require any Reference Word Pairs (RWPs) for predicting the sentiments of phrases. The results of preliminary experiments show that our proposed...
In W3C's Rule Interchange Format (RIF), F-Logic rules have received considerable attention as a major logical rule formalism, while combinations of rules with Description Logic (DL) ontologies in RIF, let alone with F-Logic rules, are far less developed. To mend this, we first present F-Logic# knowledge bases, a framework based on the semantics of the well-investigated dl-programs, that provides a...
The following topics are dealt with: Web intelligence; World Wide Web; Web information retrieval; information filtering; ontology engineering; semantic Web; Web mining; social networks; ubiquitous intelligence; and Web agents.
In this paper we discuss the collection, semantic annotation and analysis of real-time social signals from micro blogging data. We focus on users interested in analyzing social signals collectively for sense making. Our proposal enables flexibility in selecting subsets for analysis, alleviating information overload. We define an architecture that is based on state-of-the-art Semantic Web technologies...
Designing personalized search engines based on a recommender system that takes into consideration the user situated moment in relation to the subject matter and the context that governs user interest has been largely ignored. In this paper, we present a novel approach to integrating user interests into search within a recommender system that is guided by the semantic representation of the user and...
Recent years have seen a huge increase in the amount of publicly-available information relevant to drug discovery, including online databases of compound and bioassay information; scholarly publications linking compounds with genes, targets and diseases; and predictive models that can suggest new links between compounds, genes, targets and diseases. However, there is a lack of tools and methods to...
Representing meaning is a major challenge facing Web 3.0. However, it is extremely difficult to excavate the meaning of a target concept from textual data as there is no one-to-one correspondence between the textual unit in which the target concept is embedded and the conceptual content that we would like to excavate. In this paper, we propose one possible approach for addressing this challenge, by...
This paper describes the design and implementation of backward chained clustered RDFS reasoning in 4store. The system presented, called “4s-reasoner”, adds no overhead to the import phase and yet performs reasonably well at the query phase. We also demonstrate that our solution scales over clusters of commodity servers providing an optimal solution that balances infrastructure cost and performance...
Representing web data into a machine understandable format is a curtail task for the next generation of the web. Most of current web pages are dynamic pages. A large percentage of these web pages get their contents from underlying database. This work proposes an approach to represent dynamic web pages into Concept Description Language (CDL) semantic format. This format does not depend on ontologies...
In recent years, there has been an explosion of publicly available RDF and OWL web pages. Typically, these pages are small, heterogeneous and prone to change frequently. In order to effectively integrate them, we propose to adapt a query reformulation algorithm and combine it with an information retrieval inspired index in order to select all sources relevant to a query. We treat each RDF document...
This paper describes an Open Linked Data backlinking service, a generic architecture component to support the discovery of useful links between items across highly connected data sets. Using Public Sector Information (PSI) currently available as Linked Data, we demonstrate that contemporary publishing practices do not adequately support the ability to navigate or automatically traverse between resources...
The Chem2Bio2RDF portal is a Linked Open Data (LOD) portal for systems chemical biology aiming for facilitating drug discovery. It converts around 25 different datasets on genes, compounds, drugs, pathways, side effects, diseases, and MEDLINE/PubMed documents into RDF triples and links them to other LOD bubbles, such as Bio2RDF, LODD and DBPedia. The portal is based on D2R server and provides a SPARQL...
In this paper, we present a few innovative techniques for visualization of content and contextual information of a multimedia digital library for effective browsing. A traditional collection visualization portal often depicts some metadata or a short synopsis, which is quite inadequate for assessing the documents. We have designed a novel web portal that incorporates a few preview facilities to disclose...
Collaborative tagging has emerged as a popular and effective method for organizing and describing pages on the Web. We present Treelicious, a system that allows hierarchical navigation of tagged web pages. Our system enriches the navigational capabilities of standard tagging systems, which typically exploit only popularity and co-occurrence data. We describe a prototype that leverages the Wikipedia...
This position paper describes the challenges related to federated enterprise search over heterogeneous product information sources. It focuses on the aspect of finding relevant information sources w.r.t. the user's information need and identifies core research questions with regards to the design and implementation of a potential solution, based on Semantic Web techniques.
Most of today's business processes are complex and consist of more than one party or single step procedures. In the Web, this is reflected by the existence of billions of Web sites, which may be regarded as complex processes, and on the other side only a few thousands of publicly available WSDL files that present single services. The availability of semantic descriptions of services and processes...
Our recent study discovers that humans are more sensitive to the semantic difference caused by categorization than specification. Based on this new discovery, this paper proposes a novel weighted edge approach embedding the specification levels of both words and their Least Common Ancestor (LCA) into a weighted graph distance by exponentially decreasing the weight along its specification level. Experimental...
We propose a semantics-enabled layered policy architecture for the exchange and management of multiple policies created by different policy languages on the Web. This architecture consists of four layers: Unifying Logic (UNL), Policy Interchange Format (PIF), Privacy Protection/DRM (PPD), and Domain Specific Applications (DSA). A meta-Policy Interchange Format (meta-PIF) layer is also introduced,...
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