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A Semantic Matchmaker for Ranking Web Services
Bin Xu,Po Zhang,Juan-Zi Li,Wen-Jun Yang,
Bin Xu
,Po Zhang,Juan-Zi Li,and Wen-Jun Yang

计算机科学技术学报 , 2006,
Abstract: This paper is concerned with the matchmaker for ranking web services by using semantics. So far several methods of semantic matchmaker have been proposed. Most of them, however, focus on classifying the services into predefined categories rather than providing a ranking result. In this paper, a new method of semantic matchmaker is proposed for ranking web services. It is proposed to use the semantic distance for estimating the matching degree between a service and a user request. Four types of semantic distances are defined and four algorithms are implemented respectively to calculate them. Experimental results show that the proposed semantic matchmaker significantly outperforms the keywordbased baseline method.
Semantic-based Chinese Web Page Retrieval
基于语义的中文网页检索

YU Yi-jiao,LIU Qin,
余一骄
,刘芹

计算机科学 , 2012,
Abstract: Semantic-based chinese Web page retrieval is a promsing application.The existing semantic retrieval mechanisms are categorized into three types,which are based on ontology,natural language understanding,and text classification and clustering respectively.The three technologies were reviewed and examined in detail.Semantic-based chinese Web page retrieval system should focus on popular fields to draw great attention from Web users.Moreover,Web pages should be indexed with words rather than chinese characters.Advanced chinese information processing technologies should be integrated into semantic retrieval systems.Some directions for future research were finally presented,including semantic relevance ranking,ontology definition and instance automatic extraction,semantic-based indexing,and large-scale semantic training collections construction.
A Robust Linguistic Platform for Efficient and Domain specific Web Content Analysis  [PDF]
Thierry Hamon,Adeline Nazarenko,Thierry Poibeau,Sophie Aubin,Julien Derivière
Computer Science , 2007,
Abstract: Web semantic access in specific domains calls for specialized search engines with enhanced semantic querying and indexing capacities, which pertain both to information retrieval (IR) and to information extraction (IE). A rich linguistic analysis is required either to identify the relevant semantic units to index and weight them according to linguistic specific statistical distribution, or as the basis of an information extraction process. Recent developments make Natural Language Processing (NLP) techniques reliable enough to process large collections of documents and to enrich them with semantic annotations. This paper focuses on the design and the development of a text processing platform, Ogmios, which has been developed in the ALVIS project. The Ogmios platform exploits existing NLP modules and resources, which may be tuned to specific domains and produces linguistically annotated documents. We show how the three constraints of genericity, domain semantic awareness and performance can be handled all together.
An Enhanced Model of E-Learning Management System Using Semantic Web Technology and Development of Universal Namespace for University Domain
Sharmin Rashid,Md. Maidul Islam,Md. Rakibul Islam
International Journal of Computer Science Issues , 2012,
Abstract: E-learning Management system is one of the special features of today's World Wide Web (WWW) which is known as Web 2.0. Research works in the field of E-Learning have presented a broad spectrum of applications, ranged from virtual classrooms to remote courses or distance learning. At anytime from anywhere around the world Webbased learning offers E-learners access to educational resources without any delay and difficulties. Due to various limitations of web 2.0 for creating E-learning management system, currently we use Web 3.0 which is known as Semantic web. It is a great platform to represent E-learning management system that recovers the limitations of Web 2.0. It represents a potential technology for supporting E-learning requirements. In this paper, we propose a model of E-learning Management System using semantic web and a namespace to represent a university on semantic web where course syllabus, teaching methods, learning activities and learning styles are included. This paper also provides a hierarchical content structure and semantic relationship between concepts that can provide related useful information for searching and sequencing learning resources in web-based E-learning systems.
Development of an Efficient QoS based Web Services Compositions Mechanism for Semantic Web  [cached]
R. Bala Krishnan,N.K. Sakthivel
Research Journal of Applied Sciences, Engineering and Technology , 2012,
Abstract: Web Services are mounting as an inventive mechanism for rendering services to subjective devices over the WWW. As a consequence of the rapid growth of Web Services applications and the plenty of Service Providers, the consumer is facing with the inevitability of selecting the “right” Service Provider. In such a scenario the Quality of Service (QoS) serves as a target to differentiate Service Providers. To select the best Web Services / Service Providers, Ranking and Optimization of Web Service Compositions are challenging areas of research with significant implications for the realization of the “Web of Services” revelation. The “Semantic Web Services” use formal semantic descriptions of Web Service functionality and interface to enable automated reasoning over Web Service Compositions. This study from its experimental results revealed that the existing Semantic Web Services faces a few challenging issues such as poor prediction of best Web Services and optimized Service Providers, which leads to QoS degradation of Semantic Web. To address and overcome these identified issues, this research work is calculating the semantic similarities, utilization of various Web Services and Service Providers. After measuring these parameters, all the Web Services are ranked based on their Utilization. Finally, our proposed technique, selected best Web Services based on their ranking and placed in Web Services Composition. From the experimental results, it is established that our proposed mechanism improves the performance of Semantic Web in terms of Execution Time, Processor Utilization and Memory Management.
Conception and Use of Ontologies for Indexing and Searching by Semantic Contents of Video Courses
Merzougui Ghalia,Djoudi Mahieddine,Behaz Amel
International Journal of Computer Science Issues , 2011,
Abstract: Nowadays, the video documents like educational courses available on the web increases significantly. However, the information retrieval systems today can not return to the users (students or teachers) of parts of those videos that meet their exact needs expressed by a query consisting of semantic information. In this paper, we present a model of pedagogical knowledge of current videos. This knowledge is used throughout the process of indexing and semantic search segments instructional videos. Our experimental results show that the proposed approach is promising.
Conception and Use of Ontologies for Indexing and Searching by Semantic Contents of Video Courses  [PDF]
Ghalia Merzougui,Mahieddine Djoudi,Amel Behaz
Computer Science , 2012,
Abstract: Nowadays, the video documents like educational courses available on the web increases significantly. However, the information retrieval systems today can not return to the users (students or teachers) of parts of those videos that meet their exact needs expressed by a query consisting of semantic information. In this paper, we present a model of pedagogical knowledge of current videos. This knowledge is used throughout the process of indexing and semantic search segments instructional videos. Our experimental results show that the proposed approach is promising.
Digital Libraries and Educational Resources: the AquaRing Semantic Approach  [cached]
Stefano Bianchi,Gianni Vercelli,Giuliano Vivanet
International Journal of Emerging Technologies in Learning (iJET) , 2010, DOI: 10.3991/ijet.v5i1.1030
Abstract: Large amounts of scientific digital contents are nowadays held by scientific institutions which collect, produce and store information valuable for dissemination, work, study and research. In this context, the development of the web and learning technologies has brought new opportunities for teachers and learners to retrieve and share pedagogical objects. This paper introduces the use of a semantic approach developed within the EC funded AquaRing project with the aim of improving access to the vast amount of digital content concerning the aquatic environment and its resources, as well as supporting enhanced education and informal learning in this specific domain. In order to achieve these goals, a semantic framework and an educational ontology were developed and implemented. Both were used to support the indexing of learning resources and to provide several educational services to end-users (especially children, students, parents and teachers).
The nature of meaning in the age of Google. Google, Indexing, Web, Meaning
Terrence A. Brooks
Information Research: an international electronic journal , 2004,
Abstract: The culture of lay indexing has been created by the aggregation strategy employed by web search engines such as Google. Meaning is constructed in this culture by harvesting semantic content from web pages and using hyperlinks as a plebiscite for the most important web pages. The characteristic tension of the culture of lay indexing is between genuine information and spam. Google's success requires maintaining the secrecy of its parsing algorithm despite the efforts of web authors to gain advantage over the Googlebot. Legacy methods of asserting meaning such as the META keywords tag and Dublin Core are inappropriate in the lawless meaning space of the open Web. A writing guide is urged as a necessary aid for web authors who must balance enhancing expression versus the use of technologies that limit the aggregation of their work.
Semantic Information Retrieval Using Ontology in University Domain  [PDF]
Swathi Rajasurya,Tamizhamudhu Muralidharan,Sandhiya Devi,S.Swamynathan
International Journal of Web & Semantic Technology , 2012,
Abstract: Today’s conventional search engines hardly do provide the essential content relevant to the user’s searchquery. This is because the context and semantics of the request made by the user is not analyzed to the fullextent. So here the need for a semantic web search arises. SWS is upcoming in the area of web searchwhich combines Natural Language Processing and Artificial Intelligence. The objective of the work donehere is to design, develop and implement a semantic search engine- SIEU(Semantic InformationExtraction in University Domain) confined to the university domain. SIEU uses ontology as a knowledgebase for the information retrieval process. It is not just a mere keyword search. It is one layer above whatGoogle or any other search engines retrieve by analyzing just the keywords. Here the query is analyzedboth syntactically and semantically. The developed system retrieves the web results more relevant to theuser query through keyword expansion. The results obtained here will be accurate enough to satisfy therequest made by the user. The level of accuracy will be enhanced since the query is analyzed semantically.The system will be of great use to the developers and researchers who work on web. The Google results arere-ranked and optimized for providing the relevant links. For ranking an algorithm has been applied whichfetches more apt results for the user query
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