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4th Joint international semantic Technology conference, JIST-WP 2014 - Co-located with the 4th Joint international semantic Technology conference, JIST 2014

作者： Xu, Peng Wang, Xin Wang, Haofen School of Computer Science and Technology Tianjin University Tianjin China Department of Computer Science and Engineering East China University of Science and Technology Shanghai China

Nowadays the amount of academic articles published in Chinese is growing rapidly, however, existing methods of managing and querying Chinese academic journals and articles are not semantic-based. Our work consists of creating an ontology for represents and organizing bibliographic information of Chinese academic journals and articles. Moreover, we develop software appli- cations based on Nutch, jsoup, and Drools for transforming millions of web pages from website of Wanfang into approximately 15 million triples stored in a triple store. Finally, the knowledge base is evaluated using the semantic Ser- vice Platform of Chinese Academic Journals and Articles (SSPCAJA). Results of the functional test show that information of Chinese academic journals and articles is effectively represented on the platform. linked data, knowledge base, Chinese academic journals, ontology.

关键词： Linked data

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Document Concept Hierarchy Generation by Extracting semantic Tree Using knowledge Graph 4

Document Concept Hierarchy Generation by Extracting Semantic...

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4th IEEE international Women in engineering conference on Electrical and Computer engineering, WIECON-ECE 2018

作者： Tumpa, Sanjida Nasreen Masroor Ali, Muhammad Dhaka Bangladesh

ISBN: (纸本)9781728119786

semantic web, as an extension of traditional web, is concerned about the vast amount of unstructured data, and with its motive to make the entire knowledge content machine readable, as well as machine interpretable, all the processes of structuring the data is highly significant. knowledge representation in trees has been a familiar mechanism for some time. However, such representations lack in existence when it comes to document content. In this paper, we present a general mechanism that can generate a representation of the concepts of any document in the form of knowledge trees. We further gather knowledge from knowledge graphs and analyze these data by mapping it with an existing ontology. Finally, we explain how this can be used to create hierarchical concept recommendations to make the documents search efficient. © 2018 IEEE.

关键词： Forestry

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the construction of knowledge sharing platform in universities under the ubiquitous network environment

The construction of knowledge sharing platform in universiti...

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4th international conference on Emerging Intelligent Data and web Technologies, EIDWT 2013

作者： Qun, Zeng Weihua, Xu School of Information Engineering Nanchang University Nanchang China

ISBN: (纸本)9780769550442

knowledge sharing is very important to knowledge transfer and innovation in universities. A knowledge sharing platform, with university teachers, students and multidiscipline knowledge, has become the new innovative teaching mode in universities, and knowledge sharing plays a key role in the development of information technology teaching and independent learning. this paper has designed the knowledge sharing platform in universities combining with the ubiquitous network technique requirements under the ubiquitous environment. the ubiquitous network architecture, the knowledge-sharing platform construction including the conceptual model, platform basic functional modules and system environment are discussed. the knowledge sharing platform can achieve efficient utilization of enclosing the ubiquitous network and the ubiquitous knowledge resources environment, and satisfying the demand of ubiquitous learning finally. © 2013 IEEE.

关键词： Network architecture

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User's Profile Ontology-Based semantic Framework for Personalized Food and Nutrition Recommendation

User's Profile Ontology-Based Semantic Framework for Persona...

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5th international conference on Ambient Systems, Networks and Technologies (ANT) / 4th international conference on Sustainable Energy Information Technology (SEIT)

作者： Al-Nazer, Ahmed Helmy, Tarek Al-Mulhem, Mohammed King Fahd Univ Petr & Minerals Dept Informat & Comp Sci Coll Comp Sci & Engn Dhahran 31216 Saudi Arabia

People depend on popular search engines, like Google and Yahoo, to retrieve the desired information from the web. Searching for the right food, to eat, is an example of the frequent queries on the web where people do not find relevant information easily. One reason for this un-satisfaction is the fact that many people have personal preferences where each one likes and dislikes certain food. Also, some people have specific health conditions that restrict their food choices and encourage them to take other food. In addition, the cultures, where people live in, influence food choices and varieties. therefore, it will be helpful to develop a framework that provides food recommendation, what to take and what to avoid, increasing the advantages and reducing the risks especially for people who have long term diseases such as diabetes and high-blood-pressure. Since health and nutrition information is critical and hence people need to get precise information from trusted sources. Furthermore, transforming the implied knowledge about health and nutrition into structured data is challenging, so developing a framework that semantically manipulate the health and nutrition information is becoming an increasingly important research topic. In this paper, we harness semantic web and ontology engineering technologies to analyze user's preferences, construct a nutritional and health oriented user's profile, and use the profile to organize the related knowledge so that users can make smarter food and health inquires. We present a semantic framework that uses the personalization techniques based on integrated domain ontologies, pre-constructed by domain experts, to recommend the relevant food that is consistent with people's needs. the empirical evaluation of the proposed framework shows promising results for recommending the relevant food information with a superior user's satisfaction. (C) 2014 Published by Elsevier B.V.

关键词： Personalization query manipulation food and nutrition semantic web ontology

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the semantic web: Research and Applications: 4th European semantic web conference, ESWC 2007

The Semantic Web: Research and Applications: 4th European Se...

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4th European semantic web conference, ESWC 2007

ISBN: (纸本)3540726667

the proceedings contain 59 papers. the topics discussed include: the lixto systems applications in business intelligence and semantic web;ways to develop human-level web intelligence: a brain informatics perspective;empowering software maintenance with semantic web technologies;minimal deductive systems for RDF;web service contracting: specification and reasoning with SCIFF;dynamic service discovery through meta-interactions with service providers;two-phase web service discovery based on rich functional descriptions;a reasoning framework for rule-based WSML;simple algorithms for predicate suggestions using similarity and co-occurrence;learning disjointness;developing ontologies for collaborative engineering in mechatronics;media, politics and the semantic web;extracting social networks among various entities on the web;towards semantic social networks;and knowledge sharing on the semantic web.

关键词： semantic web

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Visual Ontology-based Information Retrieval System

Visual Ontology-based Information Retrieval System

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4th Information Visualization conference

作者： Zhuhadar, Leyla Nasraoui, Olfa Wyatt, Robert Univ Louisville Dept Comp Sci & Comp Engn Knowledge Discovery & Web Min Lab Louisville KY 40292 USA

ISBN: (纸本)9780769537337

the semantic web has been evolved as a key technology, bringing new insights and solutions to well documented problems in E-learning. the research field of semantic E-learning covers a wide range of research problems. In this paper we present an approach to visualize an ontology driven information retrieval system in the context of E-learning. this approach has been implemented on the HyperManyMedia(1) I platform, and is already being used by online students at WKU2. the design of this work is based oil, the following steps: (1) presenting the HyperManyMedia domain as a tree consisting of concepts and subconcepts where the leaves are the documents (lectures), (2) embedding Nutch search engine into the platform, (3) reconfiguring Nutch search engine to accommodate the semantic search, (4) using Prefuse(3) as a visual tool to present the ontology as a graph, and (5) embedding the graph into the platform as an applet so that learners can navigate visually through the ontology of the domain by, clicking on nodes.

关键词： visualization knowledge engineering ontology information retrieval

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Utilizing semantic knowledge for Access Control in Pervasive and Ubiquitous Systems

Utilizing Semantic Knowledge for Access Control in Pervasive...

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4th Annual IEEE international conference on Wireless and Mobile Computing, Networking and Communications (WIMOB)/SecPriWiMob/SAUCEWiMob/HWN-RMQWiMob/STWiMob

作者： Dersingh, Anand Liscano, Ramiro Jost, Allan Dalhousie Univ Fac Comp Sci Halifax NS Canada Univ Ontario Inst Technol Fac Engn & Appl Sci Oshawa ON Canada

ISBN: (纸本)9780769533933

Controlling access in pervasive environments is crucial and a significant challenge because users and devices can connect from anywhere which results in users and resources becoming available at any point of time and location depending on the situation. Access control policies for this type of environment are required to conform to high-level business notions. In pervasive environments, these high-level notions refer to contexts of the situation which can change unpredictably and must be interpreted semantically to maintain proper access control. therefore, it is necessary to have a formal representation that represents semantics of the contexts, reflects the change of the situation, and can be shared and understood by a policy system. this paper addresses these issues by introducing a context management system that uses a semantic web approach as an underlying mechanism to model and represent semantics of the contexts. the system stores current contexts in a semantic knowledge base which is used by a semantic access control system in order to form access control policies and evaluate policies at run time. the approach is validated through a proof of concept implementation that includes performance results of the context management system as it responds to a change of the situation.

关键词： Access control

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Demonstration: Secure -semantics empowered rescue environment

Demonstration: Secure -semantics empowered rescue environmen...

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4th international Workshop on semantic Sensor Networks 2011, SSN 2011 - A 10th international semantic web conference, ISWC 2011

作者： Desai, Pratikkumar Henson, Cory Anatharam, Pramod Sheth, Amit Kno.e.sis - Ohio Center of Excellence in Knowledge enabled Computing Department of Computer Science and Engineering Wright State University Dayton OH 45435 United States

this paper demonstrates a semantic web enabled system for collecting and processing sensor data within a rescue environment. the real time system collects heterogeneous raw sensor data from rescue robots through a wireless sensor network. the raw sensor data is converted to RDF using the semantic Sensor Network (SSN) ontology and further processed to generate abstractions used for event detection in emergency scenarios.

关键词： Wireless sensor networks

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SEMREG-Pro: A semantic based registry for proactive web service discovery using publish-subscribe model

SEMREG-Pro: A semantic based registry for proactive web serv...

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4th international conference on semantics, knowledge, and Grid, SKG 2008

作者： Nawaz, Falak Qadir, Kamran Ahmad, H. Farooq NUST School of Electrical Engineering and Computer Science Pakistan

ISBN: (纸本)9780769534015

Service discovery is vital for the expansion of web services and is often identified as one of the most challenging problems for the wide-scale use of web services. As the number of web services is increasing on the web, service discovery is becoming a major issue. To address this issue, UDDI registry has been developed by standard bodies. However, the challenge is no longer in providing information anytime, anywhere but in providing precise and accurate information to the users in real time. UDDI lacks in these characteristics because searching mechanism of UDDI is based on keyword matching. Service discovery is limited to service name and classification. Current registry-based approach for service discovery is a passive style registry, which essentially provides service information in response to a request. there is no way to push information towards service users. In this paper, we propose a proactive registry for efficient discovery that utilizes semantic-based publish-subscribe model. We use proactive push approach for providing service notifications to service requester and semantic based capability matching of OWL-S web service descriptions. the algorithm assigns scores to individual concepts of the advertised service by concept matching with that of the requested one and then assigns overall ranking to advertisement on the basis of individual scores. the results show a significant increase in precision and recall of service discovery as compared to UDDI approach and other semantic based approaches. © 2008 IEEE.

关键词： web services

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Towards ontology generation from tables

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WORLD WIDE web-INTERNET AND web INFORMATION SYSTEMS 2005年第3期8卷 261-285页

作者： Tijerino, YA Embley, DW Lonsdale, DW Ding, YH Nagy, G Kwansei Gakuin Univ Nishinomiya Hyogo Japan Brigham Young Univ Provo UT 84602 USA Rensselaer Polytech Inst Troy NY 12181 USA

At the heart of today's information-explosion problems are issues involving semantics, mutual understanding, concept matching, and interoperability. Ontologies and the semantic web are offered as a potential solution, but creating ontologies for real-world knowledge is nontrivial. If we could automate the process, we could significantly improve our chances of making the semantic web a reality. While understanding natural language is difficult, tables and other structured information make it easier to interpret new items and relations. In this paper we introduce an approach to generating ontologies based on table analysis. We thus call our approach TANGO (Table ANalysis for Generating Ontologies). Based on conceptual modeling extraction techniques, TANGO attempts to (i) understand a table's structure and conceptual content;(ii) discover the constraints that hold between concepts extracted from the table;(iii) match the recognized concepts with ones from a more general specification of related concepts;and (iv) merge the resulting structure with other similar knowledge representations. TANGO is thus a formalized method of processing the format and content of tables that can serve to incrementally build a relevant reusable conceptual ontology.

关键词： ontology table understanding ontology generation semantic web

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