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检索条件"任意字段=7th International Conference on Advanced Language Processing and Web Information Technology"

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Development of an e-Learning environment across all departments and a model class

Development of an e-Learning environment across all departme...

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7th IASTED international conference on web-Based Education, WBE 2008

作者： Matsumoto, Toyoji Suzuki, Tsuneo Sato, Masahide Imachi, Tomohiko Information Media Center Kanazawa University Kakuma-machi Kanazawa 920-1192 Japan

ISBN: (纸本)9780889867239

In 2006, Kanazawa University (KU) adopted a policy that made it mandatory for all freshmen to have a laptop PC, and started a new class called Introduction to information technology as a compulsory first-year subject. We designed this class as a model for developing an e-Learning environment across all departments. We realized that educational systems and support environments are important for the success of e-Learning, so we added portal functions with the cooperation of the company which developed the LMS for us. In addition, we set up a wireless LAN infrastructure, and upgraded some lecture rooms for the Introduction to information processing courses. We started up a support room to assist teachers in developing their teaching materials, and opened a PC support room for students in the university hall, near the hub of student activity. In this paper, we will show the outline of the educational system, and report the largely positive student evaluations of the Introduction to information technology course and the educational system during its first two years. the number of classes that use the educational system tripled in 2007.

关键词： Students

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Collaborative learning tool applying to C programming language

Collaborative learning tool applying to C programming langua...

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7th international conference on web Based Learning (ICWL 2008)

作者： Chang, Wen-Chih Chen, Kuen-Chi Chung Hua Univ Dept Informat Management Hsinchu Taiwan

ISBN: (纸本)9783540850328

Collaborative learning, which includes activities of interaction between learners, share knowledge each other, and cooperate in finishing some tasks, is a popular research topic in the past decades. the essence of collaborative learning is that active participation is significant in the learning process and that learners share the valuable knowledge to the other learners in traditional classroom. Nowadays, computers and information technology (IT) become a general component on a lot of aspects of education. the combination of collaborative learning and information technology is commonly called "Computer Supported Collaborative Learning" (CSCL), and that is currently having much attention. therefore, we have developed a friendly server / client tool, which embedded voice and text chat communication to support collaborative learning via internet. Learner can study from group's collaborative learning, find and solve the problem of C programming language designing through communicating and discussing. Besides, it makes users gained the experience and knowledge of program designing efficiently.

关键词： C (programming language)

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Modeling Learning practices as components of Learning Objects and specifying sequences of content and practice

Modeling Learning practices as components of Learning Object...

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7th IASTED international conference on web-Based Education, WBE 2008

作者： De S. E S. Rodrigues, Diva Siqueira, Sean W. M. Braz, Maria Helena L. B. Melo, Rubens N. IBGE UE-MG R. Oliveira 523 Cruzeiro 30310-150 Belo Horizonte MG Brazil DIA/CCET UNIRIO Av. Pasteur 458 Urea 22290-240 Rio de Janeiro RJ Brazil DECivil/IST - UTL Av. Rovisco Pais 1049-001 Lisbon Portugal DI/PUC-Rio R. Marques de Sao Vicente 225 Gavea 22453-900 Rio de Janeiro RJ Brazil

ISBN: (纸本)9780889867239

the development of instructional content for web Based Learning is an expensive, time-consuming and complex process that leads to the development of new methodologies. the concept of Learning Objects (LOs) was proposed as an approach to promote content reuse. In this paper, we describe a strategy to modeling learning practices that are embedded in LOs, according to a previous proposal for learning content modeling. these atomic LOs of content and practice are called Component Objects. the work presented in this paper is based on previous experiences and proposals on information processing, learning content structuring and classification of learning activities and practices, which lead to a metamodel for representing learning content and practice. A language for defining sequences of COs is also presented, with a syntax that is adequate to the specification of the possible ways of sequencing COs/LOs. A case study is briefly described to show the applicability of the proposals. Although it is not expected to represent a revolution on learning content and practice structuring, the approach presented in this paper provides alternatives for representing smaller LOs while the experiment in the case study brought enthusiasm to students and professors.

关键词： Classification (of information)

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7th Australasian Data Mining conference, AusDM 2008

7th Australasian Data Mining Conference, AusDM 2008

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7th Australasian Data Mining conference, AusDM 2008

ISBN: (纸本)9781920682682

this proceedings contains 27 papers. Data mining and analytics today have advanced rapidly from the early days of pattern finding in commercial databases. they are now a core part of business intelligence and inform decision-making in many areas of human endeavor including science, business, health care and security. Mining of unstructured text, semi-structured web information and multimedia data have continued to receive attention, as have professional challenges to using data mining in industry. Accepted submissions have been grouped into seven sessions reflecting these application areas. Papers published in this conference are categorized under topics such as Algorithms, Approaches for Business and Organisations, Association Rules / Frequent Patterns, Biomedical Data Mining, Engineering Applications, Text Mining. In addition, three Keynote Papers were published. the key terms of this proceedings include natural language learning, data mining, text mining, signal processing, speech processing, audiovisual speech recognition, cognitive linguistics, computational psycholinguistics, receiver operating characteristics, brain computer interface, community structure, networks, modularity, evaluation, imbalanced datasets, roc and cost sensitive learning, lazy Bayesian rules, classification, decision trees, exploratory data mining, visualization, communications analysis, association rule, negative association rule, health data mining, fraud detection, open source data mining, classification of EEG data, brain-computer interfaces, correlation-based feature selection.

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BioPortal: A web repository for biomedical ontologies and data resources

BioPortal: A Web repository for biomedical ontologies and da...

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7th international Semantic web conference, ISWC 2008

作者： Noy, Natalya F. Dorf, Michael Montegut, Michael J. Shah, Nigam H. Griffith, Nicholas Rubin, Daniel L. Musen, Mark A. Dai, Benjamin Jonquet, Clement Youn, Cherie Stanford Center for Biomedical Informatics Research Stanford University Stanford CA 94305 United States

Biomedical ontologies provide essential domain knowledge to drive data integration, information retrieval, data annotation, natural-language processing, and decision support. the National Center for Biomedical Ontology is developing BioPortal, a web-based system that serves as a repository for biomedical ontologies. BioPortal defines relationships among those ontologies and between the ontologies and online data resources such as PubMed, ***, and the Gene Expression Omnibus (GEO). BioPortal supports not only the technical requirements for access to biomedical ontologies either via web browsers or via web services, but also community-based participation in the evaluation and evolution of ontology content. BioPortal enables ontology users to learn what biomedical ontologies exist, what a particular ontology might be good for, and how individual ontologies relate to one another. BioPortal is available online at http://***.

关键词： Ontology

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Describing and communicating uncertainty within the Semantic web

Describing and communicating uncertainty within the Semantic...

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4th international Workshop on Uncertainty Reasoning for the Semantic web, URSW 2008 - Held in Conjunction with the 7th international Semantic web conference, ISWC 2008

作者： Williams, Matthew Bastin, Lucy Cornford, Dan Ingram, Ben Knowledge Engineering Group Aston University Birmingham United Kingdom

the Semantic web relies on carefully structured, well defined data to allow machines to communicate and understand one another. In many domains (e.g. geospatial) the data being described contains some uncertainty, often due to bias, observation error or incomplete knowledge. Meaningful processing of this data requires these uncertainties to be carefully analysed and integrated into the process chain. Currently, within the Semantic web there is no standard mechanism for interoperable description and exchange of uncertain information, which renders the automated processing of such information implausible, particularly where error must be considered and captured as it propagates through a processing sequence. In particular we adopt a Bayesian perspective and focus on the case where the inputs/outputs are naturally treated as random variables. this paper discusses a solution to the problem in the form of the Uncertainty Markup language (UncertML). UncertML is a conceptual model, realised as an XML schema, that allows uncertainty to be quantified in a variety of ways: i.e. realisations, statistics and probability distributions. the INTAMAP (INTeroperability and Automated MAPping) project provides a use case for UncertML. this paper demonstrates how observation errors can be quantified using UncertML and wrapped within an Observations & Measurements (O&M) Observation. An interpolation web processing Service (WPS) uses the uncertainty information within these observations to influence and improve its prediction outcome. the output uncertainties from this WPS may also be encoded in a variety of UncertML types, e.g. a series of marginal Gaussian distributions, a set of statistics, such as the first three marginal moments, or a set of realisations from a Monte Carlo treatment. Quantifying and propagating uncertainty in this way allows such interpolation results to be consumed by other services. this could form part of a risk management chain or a decision support system, and

关键词： Errors

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A Co-occurrence graph-based approach for personal name alias extraction from anchor texts 3

A Co-occurrence graph-based approach for personal name alias...

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3rd international Joint conference on Natural language processing, IJCNLP 2008

作者： Bollegala, Danushka Matsuo, Yutaka Ishizuka, Mitsuru The University of Tokyo 7-3-1 Hongo Tokyo113-8656 Japan National Institute of Advanced Industrial Science and Technology 1-18-13 Sotokanda Tokyo101-0021 Japan

A person may have multiple name aliases on the web. Identifying aliases of a name is important for various tasks such as information retrieval, sentiment analysis and name disambiguation. We introduce the notion of a word co-occurrence graph to represent the mutual relations between words that appear in anchor texts. Words in anchor texts are represented as nodes in the co-occurrence graph and an edge is formed between nodes which link to the same url. For a given personal name, its neighboring nodes in the graph are considered as candidates of its aliases. We formalize alias identification as a problem of ranking nodes in this graph with respect to a given name. We integrate various ranking scores through support vector machines to leverage a robust ranking function and use it to extract aliases for a given name. Experimental results on a dataset of Japanese celebrities show that the proposed method outperforms all baselines, displaying a MRR score of 0.562. © 2008 IJCNLP 2008 - 3rd international Joint conference on Natural language processing, Proceedings of the conference. All rights reserved.

关键词： Sentiment analysis

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SUITS4RDF: Incremental query construction for the Semantic web

SUITS4RDF: Incremental query construction for the Semantic W...

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7th international Semantic web conference, ISWC 2008

作者： Minack, Enrico Siberski, Wolf Zenz, Gideon Zhou, Xuan L3S Research Centre Leibniz University Hanover Appelstr. 9a Hanovar 30167 Germany CSIRO ICT Centre GPO Box 664 Canberra ACT 2601 Australia

With the advance of the Semantic web technology, increasing data will be annotated with computer understandable structures (i.e. RDF and OWL), which allow us to use more expressive queries to improve our ability in information seeking. However, constructing a structured query is a laborious process, as a user has to master the query language as well as the underlying schema of the queried data. In this demo, we introduce SUITS4RDF, a novel interface for constructing structured queries for the Semantic web. It allows users to start with arbitrary keyword queries and to enrich them incrementally with an arbitrary but valid structure, using computer suggested queries or query components. this interface allows querying the Semantic web conveniently and efficiently, while enabling users to express their intent precisely.

关键词： Query languages

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A new collocation extraction method combining multiple association measures

A new collocation extraction method combining multiple assoc...

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7th international conference on Machine Learning and Cybernetics

作者： Lin, Jian-Fang Li, Sheng Cai, Yuhan Harbin Inst Technol MOE MS Key Lab NLP & Speech Harbin 150001 Peoples R China Univ Washington Dept Comp Sci & Engn Seattle WA 98195 USA

ISBN: (纸本)9781424420957

As an important linguistic resource, collocation represents a significant relation between words. Automatic collocation extraction is very important for many natural language processing applications, such as word sense disambiguation, machine translation and information retrieval etc. While traditional collocation extraction approaches use only one single statistical measure, they may not be optimal in that they can not take advantage of multiple statistical measures. In this paper, we propose a logistic linear regression model (LLRM) that combines five classical lexical association measures: chi(2)-test, t-test, co-occurrence frequency, log-likelihood ratio and mutual information. Experiments show that our approach leads to a significant performance improvement in comparison with individual basic methods in both precision and recall.

关键词： collocation co-occurrence frequency chi(2)-test t-test mutual information log-likelihood ratio

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Bringing the IPTC News Architecture into the Semantic web

Bringing the IPTC News Architecture into the Semantic Web

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7th international Semantic web conference (ISWC 2008)

作者： Troncy, Raphael CWI NL-1090 GB Amsterdam Netherlands

ISBN: (纸本)9783540885634

For easing the exchange of news, the international Press Telecommunication Council (IPTC) has developed the NewsML Architecture (NAR), an XML-based model that is specialized into a number of languages such as NewsML G2 and EventsML G2. As part of this architecture, specific controlled vocabularies, such as the IPTC News Codes, are used to categorize news items together with other industry-standard thesauri. While news is still mainly in the form of text-based stories, these are often illustrated with graphics, images and videos. Media-specific metadata, formats, such as EXIF, DIG35 and XMP, are used to describe the media. the use of different metadata formats in a single production process leads to interoperability problems within the news production chain itself. It also excludes linking to existing web knowledge resources and impedes the construction of uniform end-user interfaces for searching and browsing news content. In order to allow these different metadata standards to interoperate within a single information environment, we design an OWL ontology for the. IPTC News Architecture, linked with other multimedia metadata standards. We convert the IPTC NewsCodes into a SKOS thesaurus and we demonstrate how the news metadata, can then I)e enriched using natural language processing and multimedia analysis and integrated with existing knowledge already formalized on the Semantic web. We discuss the method we used for developing the ontology and give rationale for our design decisions. We provide guidelines for re-engineering schemas into ontologies and formalize their implicit semantics. In order to demonstrate the appropriateness of our ontology infrastructure, we present an exploratory environment for searching and browsing news items,

关键词： thesauri

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