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With the continuous development of society and the improvement of Internet technology, people are getting more and more dissatisfied with the current exploration of unknown world, and increasingly rigorous on the search engine requirements. As a result, semantic search technology came into being. This article mainly through the knowledge graph and semantic search technology to understand the function...
The inferences of a machine learning algorithm are naturally limited by the available data. In many real-world applications, the provided internal data is domain-specific and we use external background knowledge to derive or add new features. Semantic networks, like linked open data, provide a largely unused treasure trove of background knowledge. This drives a recent surge of interest in unsupervised...
In this paper, we introduce a distance-based approach for measuring the semantic dissimilarity between two concepts in a knowledge graph. The proposed Normalized Semantic Web Distance (NSWD) extends the idea of the Normalized Web Distance, which is utilized to determine the dissimilarity between two textural terms, and utilizes additional semantic properties of nodes in a knowledge graph. We evaluate...
In this paper, we present a semantic web based knowledge engineering approach to extend the coverage of medical knowledge-based systems in order to solve complex medical queries that demand the integration of deterministic and plausible knowledge. We leverage plausible reasoning mechanisms, which exploit associations between the underlying domain-specific data, as well as tentative domain knowledge,...
Computer-mediated learning needs to be social too. Interactivity is a central construct for collaborative knowledge construction in online communities. We present an operationalized framework for measuring interactivity in online discussions, based on our view of interactivity as a socio-constructivist process. We hypothesize that the traditional design for online discussion platforms, with linear,...
For some time, the term cyberinfrastructure has been used to describe the collected set of computer-based software and services utilized to support and advance science, engineering, and education. Over the past decade there has been an evolution of that cyberinfrastructure aimed at enabling more robust and virtual, distributed scientific research set in a context of an interdisciplinary virtual observatory,...
Context-based query processing methods are used to capture user intents behind query inputs. General context models are not flexible or explicable enough for inference, because they are either static or implicit. This paper improves current context model and proposes a novel query processing approach based on associated semantic context inference. In our approach, the formal defined context is explicit,...
According to relational database theory, solid foundation, and mature technology, various products have made it the first consideration for studying and storing massive data. But how to build an effective knowledge base which is based on the powerful storage and processing capability of relational database is not only one of the key issue for the research and application relating to knowledge engineering...
Web service composition is one of the fundamental technologies in implementing Service Oriented Architecture (SOA) based applications. Description Logic based Web service composition can easily express the static knowledge, however it is lack the dynamic knowledge support. Dynamic Description Logic extends from Description Logic and it can represent both static and dynamic knowledge. In this paper,...
We introduce semantic-enabled clone detection, as an approach that emphasizes on importance of the token semantics during the pattern matching for clone detection. This approach can be realized using Semantic Web and its support for knowledge modeling. While the Semantic Web has found wide acceptance in various application and research domains, it still lacks the same acceptance in the source code...
In this paper, we explore changes in both structural and semantic characteristics of a scientific social network. We trace the emergence of knowledge, what we refer to as ideation, through publication data from two conferences in a sub-field of Computer Science. Social network analysis is used to determine structural characteristics of the co-authorship networks, and we perform semantic network analysis...
Nowadays there is a real need for knowledge management in healthcare field due the explosion of information. Primary Health care is a rich domain in semantic relationships between entities and it often needs expressivity in modelling knowledge. The Brazilian Primary Health care has raised the number of professionals over the last decade, and there is a vast knowledge spread that needs to be recovered...
This paper proposes a general framework for a system with a semantic browsing and visualization interface called Knowledge Communication, Collaboration and Creation Browser (KC3 Browser) which integrates multimedia contests and web services on the grid networks, and makes a semantic mash-up called knowledge workspace (k-workspace) with various visual gadgets according to user's contexts (e.g. their...
Most service composition approaches rely on top down decomposition of a problem and AI-style planning to assemble services into a meaningful whole, impeding reuse and flexibility. In contrast, our approach starts from declarative knowledge about the semantics of individual services and constructs a full-blown orchestration process that supports sequence, choice and parallelism. The approach, which...
Today's Environment, Web contributes greatly to the creation of an ever-increasing global information database. Web is a collection of billions of web pages. Web 2.0 is purely based on keyword based searching. Because of using keyword based search engine, people may get relevant or irrelevant information. The amount of time spent to search data from web is enormous. To avoid these difficulties a meaning...
The process for obtaining knowledge is easy to get a lot of redundant information. So rough set theory and attribute union are used to reduce the attribute and attribute value of semantic web together. The nuclear of attribute and attribute value are found at the same time. Finally, the minimum reduction of attribute will be got.
Fuzziness is an important feature of knowledge in the Semantic Web. However, common Semantic Web rule markup languages including R2ML (REWERSE Rule Markup Language) are not capable of representing, markuping and reasoning with fuzzy knowledge. In the paper, based on fuzzy sets which suffice to represent fuzziness, a fuzzy rule markup language named f-R2ML (fuzzy R2ML) is proposed. The abstract syntax...
Association Link Network (ALN) aims to establish associated relations among various resources. By extending the hyperlink network World Wide Web to an association-rich network, ALN is able to effectively support Web intelligence activities such as Web browsing, Web knowledge discovery, and publishing, etc. Since existing methods for building semantic link on Web resources cannot effectively and automatically...
Reasoning is central to the idea of the Semantic Web and ontologies, however, the fundamental principles of reasoning - soundness and completeness - do not match the reality of the (Semantic) Web that is ruled by contradicting and incomplete data and claims. Furthermore, logical reasoning is strong for rather small numbers of axioms and facts, while the Web is growing at an impressive speed and hence...
Semantic Sensor Web is a progressive concept that would improve current Sensor Web model introducing a semantic layer in which the semantic or meaning of information is formally defined. Semantic environment allows a novel approach for interoperability among systems as well as new perspectives for computation (e.g. Ontology-driven and Ontology-aware). One of the central and key issues for the concrete...
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