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Natural language Question - Answering model applied to document retrieval system

World Academy of Science, engineering and technology 2009年 39卷 36-39页

作者： Dang, Nguyen Tuan Tuyen, Do Thi Thanh Faculty of Computer Science University of Information Technology Vietnam National University - HCMC Viet Nam Faculty of Software Engineering University of Information Technology Vietnam National University - HCMC Viet Nam

In this paper, we propose a method to build a specific Question-Answering system which is integrated with a search system for eBooks in library. Users can use simple English questions for searching the library with information about the needed eBooks, such as title, author, language, category, publisher. In this research project, we focus on fundamental problems of the natural language query processing: approaches of syntax analysis and syntax representation, semantic representation, transformation rules from syntax structure to semantic structure Some first results let we believe that our system model can meet some strict requirements and it can be applied to develop other similar searching system. © 2009 ***.

关键词： information retrieval

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Building the reliability prediction model of component-based software architectures

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World Academy of Science, engineering and technology 2009年 35卷 911-918页

作者： Trung, Pham Thanh Thang, Huynh Quyet Dicom Vietnam Corpration Viet Nam Software Engineering Department Faculty of Information Technology Hanoi University of Technology Hanoi Viet Nam

Reliability is one of the most important quality attributes of software. Based on the approach of Reussner and the approach of Cheung, we proposed the reliability prediction model of component-based software architect... 详细信息

关键词： Forecasting

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Assessment of NER solutions against the first and second CALBC Silver Standard Corpus

Assessment of NER solutions against the first and second CAL...

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4th International Symposium on Semantic Mining in Biomedicine, SMBM 2010

作者： Rebholz-Schuhmann, Dietrich Yepes, Antonio Jimeno Li, Chen Kafkas, Senay Lewin, Ian Kang, Ning Corbett, Peter Milward, David Buyko, Ekaterina Beisswanger, Elena Hornbostel, Kerstin Kouznetsov, Alexandre Witte, René Laurila, Jonas B. Baker, Christopher J.O. Kuo, Cheng-Ju Clematide, Simone Rinaldi, Fabio Farkas, Richárd Móra, György Hara, Kazuo Furlong, Laura Rautschka, Michael Neves, Mariana Lara Pascual-Montano, Alberto Wei, Qi Collier, Nigel Chowdhury, Md. Faisal Mahbub Lavelli, Alberto Berlanga, Rafael Morante, Roser Van Asch, Vincent Daelemans, Walter Marina, José Luís Van Mulligen, Erik Kors, Jan Hahn, Udo EMBL Outstation European Bioinformatics Institute Hinxton Cambridge CB10 1SD United Kingdom Dept. of Medical Informatics Erasmus University Medical Center Rotterdam NL Netherlands Linguamatics Ltd. St. John's Innovation Centre Cambridge United Kingdom Lab. Friedrich-Schiller-Universität Jena Germany Dept. of Computer Science and Applied Statistics University of New Brunswick Canada Dept. of Computer Science and Software Engineering Concordia University Montreal Canada Institute of Information Science Academia Sinica Taipei 115 Taiwan University of Zürich Switzerland Research Group on Artificial Intelligence Hungarian Academy of Sciences Hungary Institute of Science and Technology Nara Japan IMIM DCEX Universitat Pompeu Fabra Barcelona Spain Madrid Spain National Institute of Informatics Tokyo Japan Fondazione Bruno Kessler Trento Italy Universitat Jaume I Spain CLiPS University of Antwerp Belgium Complutense University of Madrid Spain

Background: Text mining challenges have been organised to measure the performance of automatic text mining solutions against a manually annotated gold standard corpus (GSC). The preparation of the GSC is timeconsuming and costly and the final corpus consists at the most of a few thousand documents annotated with a limited set of semantic groups. To overcome these shortcomings, the CALBC project partners (PPs) have produced a large-scale annotated biomedical corpus with four different semantic groups through the harmonisation of annotations from automatic text mining solutions, the first version of the Silver Standard Corpus (SSC-I). The four semantic groups were chemical entities and drugs (CHED), genes and proteins (PRGE), diseases and disorders (DISO) and species (SPE). This corpus has been used for the First CALBC Challenge asking the participants to annotate the corpus with their annotation solutions.

关键词： Semantics

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Semantic Web Service Composition Framework Based on Parallel Processing

Semantic Web Service Composition Framework Based on Parallel...

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IEEE International Conference on E-Commerce technology Workshops

作者： Peter Bartalos Mária Bielikova Institute of Informatics and Software Engineering Faculty of Informatics and Information Technologies Slovak University of Technology Slovakia

ISBN: (纸本)9781424446469;9780769537559

The process of semantic Web service composition arranges several Web services into one composite service to realize complex workflows with an exploitation of semantics. This paper proposes a framework to automatic semantic Web service composition. Its advantage is that a huge amount of computation is performed during preprocessing and the composition approach is designed to exploit the parallel execution of processes which is nowadays supported in multiprocessor platforms. The framework is built to suit the WS Challenge competition requirements.

关键词： Semantic Web Parallel processing Web services Quality of service Data structures Concurrent computing Scalability Informatics Automation Business

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Adapting I/O Parameters of Web Services to Enhance Composition

Adapting I/O Parameters of Web Services to Enhance Compositi...

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International Conference on Next Generation Web Services Practices (NWeSP)

作者： Peter Bartalos Mariá Bielikova Institute of Informatics and Software Engineering Faculty of Informatics and Information Technologies Slovak University of Technology Slovakia

Web service chaining forms one of the basic operation during Web service composition. To decide whether services can be chained, semantic matching between the I/O is usually evaluated. In this paper we propose an approach considering possible adaptation of output data before it is consumed as input by other service. We also define the corresponding rules based on which it is evaluated if the chaining is possible or not. Moreover, we deal also with the affect on workflow and service description, and their execution.

关键词： Web services Informatics Semantic Web Computational modeling software engineering information technology Research and development Contracts Engines User interfaces

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Fast and Scalable Semantic Web Service Composition Approach Considering Complex Pre/Postconditions

Fast and Scalable Semantic Web Service Composition Approach ...

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IEEE World Congress on Services (SERVICES)

作者： Peter Bartalos Maria Bieliková Institute of Informatics and Software Engineering Faculty of Informatics and Information Technologies Slovak University of Technology Slovakia

The process of semantic web service composition arranges several web services into one composite service to realize complex workflows with an exploitation of semantics. This paper proposes an approach to automatic semantic web service composition. Its advantage is good scalability regarding the complexity of user constraints and pre/post conditions. Based on these conditions it propagates the value restrictions constraint from the user goal through the overall composite service. The resulting plan depicts all the possible branches of the workflow leading to a goal. This includes the automatic generation of the conditions deciding which branch will be chosen during the execution. Finally, our approach exploits available data which can be used as input parameters for web services. If these are not offered, it searches for a web service producing them.

关键词： Semantic Web Web services Scalability Informatics Automation Crisis management Accidents software engineering information technology Research and development

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Detection of local outlier over dynamic data streams using efficient partitioning method

Detection of local outlier over dynamic data streams using e...

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2009 WRI World Congress on Computer Science and information engineering, CSIE 2009

作者： Elahi, Manzoor Kun, Li Nisar, Wasif Xinjie, Lv Hongan, Wang Intelligence Engineering Lab. Institute of Software Chinese Academy of Sciences Beijing 100190 China Graduate University of Chinese Academy of Sciences Beijing 100049 China COMSATS Institute of Information Technology Islamabad Pakistan

ISBN: (纸本)9780769535074

Outlier detection is the process of detecting the data objects which are grossly different from or inconsistent with the remaining set of data. Some of the important applications in the field of data mining are fraud detection, customer behavior analysis, and intrusion detection. There are number of good research algorithms for detecting outliers if the entire data is available and algorithms can operate in more than single passes to achieve the required results. Among the existing methods, LOF (Local outlier Factor) a density based method is very efficient in detecting all forms of outliers. LOF algorithm can not be directly applied to the datastream as the large number of nearest neighbor searches, LOF computation and lrd (local reachability distances) can make it highly inefficient for datastream. In this paper we propose a cluster based partitioning algorithm which can divide the stream in safe region and candidate regions. In Second phase apply LOF algorithm over these partitions separately with some slight enhancement for LOF computation over candidate region to achieve accurate results for finding most outstanding outliers. Several experiments on different dataset confirm that our technique can find better outliers with low computational cost than the direct LOF or compared to the other enhancements proposed for LOF. © 2008 IEEE.

关键词： Nearest neighbor search

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A New Forecasting Model to Improve Earned Value Index to Achieve an Accurate Project Time and Cost Estimation

A New Forecasting Model to Improve Earned Value Index to Ach...

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International Conference on information Management and engineering, ICIME

作者： Iman Attarzadeh Ow Siew Hock Department of Software Engineering Faculty of Computer Science & Information Technology University of Malaya Kuala Lumpur Malaysia

ISBN: (纸本)9781424437740

This paper presents a new forecasting model to improve earned value (EV) method of projects. This method improves earned value management system (EVMS) and forecasting time and cost for projects. These method use established consists of four variables: scheduled performance index (SPI), cost performance index (CPI), cost variance (CV), schedule variance (SV). The model has been validated by a simulation study using a progress generator a new software. This software was developed in Visual Studio 2008 - Visual *** 2008 and Microsoft Office Project 2007 and it included some basic assumptions and data were generated day by day randomly. The results show a strong relationship between response variable and above four predictors. Therefore, it can be concluded that the model could be used in a wide range of projects for EAC estimation.

关键词： Predictive models Costs Project management Job shop scheduling Performance analysis Equations technology forecasting Defense industry information management software engineering

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Towards More Effective Support of Service Composition: Utilizing AI-planning, Semantics and User's Assistance

Towards More Effective Support of Service Composition: Utili...

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International Conference on Next Generation Web Services Practices (NWeSP)

作者： Viera Rozinajova Michal Kasan Pavol Navrat Institute of Informatics and Software Engineering Faculty of Informatics and Information Technologies Slovak University of Technology Bratislava Slovakia

There are various approaches to service composition - some of them mainly based on AI planning. Although they offer relatively good results, in some cases they are not sophisticated enough to solve real problems. We identified some problems with automatic composition. Our belief is that the natural way to improve these techniques is to include user into the process of composing services. The goal of this paper is to present a new way of combining AI approaches incorporating also user assistance to create a meaningful plan. We shall also examine benefits of proposed combination. To demonstrate advantages of our approach we designed and implemented system performing Web service composition.

关键词： Web services Artificial intelligence Service oriented architecture information systems software agents Humans Informatics State-space methods software engineering information technology

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Predicting Quality of Object-Oriented Systems through a Quality Model Based on Design Metrics and Data Mining Techniques

Predicting Quality of Object-Oriented Systems through a Qual...

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International Conference on information Management and engineering, ICIME

作者： Chuan Ho Loh Sai Peck Lee Department of Software Engineering Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia

Most of the existing object-oriented design metrics and data mining techniques capture similar dimensions in the data sets, thus reflecting the fact that many of the metrics are based on similar hypotheses, properties, and principles. Accurate quality models can be built to predict the quality of object-oriented systems by using a subset of the existing object-oriented design metrics and data mining techniques. We propose a software quality model, namely QUAMO (QUAlity MOdel) which is based on divide-and-conquer strategy to measure the quality of object-oriented systems through a set of object-oriented design metrics and data mining techniques. The primary objective of the model is to make similar studies on software quality more comparable and repeatable. The proposed model is augmented from five quality models, namely McCall Model, Boehm Model, FURPS/FURPS+ (i.e. functionality, usability, reliability, performance, and supportability), ISO 9126, and Dromey Model. We empirically evaluated the proposed model on several versions of JUnit releases. We also used linear regression to formulate a prediction equation. The technique is useful to help us interpret the results and to facilitate comparisons of results from future similar studies.

关键词： Object oriented modeling Predictive models Data mining software quality software measurement Usability Equations software engineering ISO standards software maintenance

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