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This work deals with the design of Loose Inter-Organizational Workflow (IOW). Loose IOW refers to occasional cooperation, free of structural constraints, where the partners involved and their number are not pre defined. We show that the design of Loose IOW application is very complex due to three factors: (i) the heterogeneity and distribution of the component processes, the organizations and the...
Workflow management systems (WFMS) coordinate execution of logically related multiple tasks in an organization. Such coordination is achieved through dependencies that are specified between the tasks of a workflow. Often times preventive measures are not enough and a workflow may be subjected to malicious attacks. Traditional workflow recovery mechanisms do not address how to recover from malicious...
Collaborative information systems are becoming more and more complex, involving numerous interacting business objects within considerable processes. Analysing the interaction structure of those complex systems will enable them to be well understood and controlled. The work described in this paper is a contribution to these problems for workflow based process applications. In fact, we discover workflow...
During Legal information systems migrations, one major problem is to handle attribute value cleaning. In the paper, we first show many data cleaning steps process on the values of the same data attributes and their derivations, and users may ignore or be puzzled by the data transforms that are defined to clean and transform the data sets, and such process can also be prone to error during process...
In this paper, we propose an automated SuperSQL query formulating method based on statistical characteristics of data so that the end-users can obtain the desired information more easily without burden of web application development side. SuperSQL is an extension of SQL to generate various kinds of structured presentations and documents. In our method, first, web producers prepare a provisional SQL...
Non-trivial retrieval applications involve complex computations on large multi-dimensional datasets. These should, in principle, benefit from the use of relational database technology. However, expressing such problems in terms of relational queries is difficult and time-consuming. Even more discouraging is the efficiency issue: query optimization strategies successful in classical relational domains...
Ranking-aware queries, or top-k queries, have received much attention recently in various contexts such as web, multimedia retrieval, relational databases, and distributed systems. Top-k queries play a critical role in many decision-making related activities such as, identifying interesting objects, network monitoring, load balancing, etc. In this paper, we study the ranking aggregation problem in...
Traditional database systems assume that clients always consume the results of queries from the beginning. In various new applications especially in WWW, however, clients frequently need a small part of the result from the middle, e.g. retrieving a page in a bulletin board in WWW. To process this partial retrieval, traditional database systems should find all the records and discard unnecessary ones...
For addressing the growing problem of junk E-mail on the Internet, this paper proposes an effective E-mail classifying and cleansing method in this paper. Incidentally, E-mail messages can be modelled as semi-structured documents consisting of a set of fields with pre-defined semantics and a number of variable length free-text fields. Our proposed method deals with both fields having pre-defined semantics...
While Spread Activation has shown its effectiveness in solving the problem of cold start and sparsity in collaborative recommendation, it will suffer a decay of performance (over activation) as the dataset grows denser. In this paper, we first introduce the concepts of Rating Similarity Matrix (RSM) and Rating Similarity Aggregation (RSA), based on which we then extend the existing spreading activation...
The aim of feature subset selection is to reduce the complexity of an induction system by eliminating irrelevant and redundant features. Selecting the right set of features for classification task is one of the most important problems in designing a good classifier. In this paper we propose a feature selection approach based on rough set based feature weighting. In the approach the features are weighted...
This paper presents an approach for integrating perceptual signal features (i.e. color and texture) and semantic information within a coupled architecture for image indexing and retrieval. It relies on an expressive knowledge representation formalism handling high-level image descriptions and a full-text query framework. It consequently brings the level of image retrieval closer to users’ needs by...
This article presents an original method of implementation of the color set back-projection algorithm. This is one of the most efficient methods of automated detection of color regions from an image. The detected regions are then used in the content-based region query. The query is realized on one or more regions, taking into consideration the color feature, location, area and the minimal bounding...
MPEG-7 is a promising standard for the description of multimedia content. A lot of applications based on MPEG-7 media descriptions have been set up. Therefore, an efficient storage solution for large amounts of MPEG-7 descriptions are certainly desirable. MPEG-7 documents are also data-centric XML documents. Due to many advantages, the relational DBMS is the best choice for storing such XML documents...
In this paper, we propose a method called LocalRank to rank web pages by integrating the web and a user database containing information on a specific geographical area. LocalRank is a rank value for a web page to assess its relevance degree to database entries considering geographical locality and its popularity on a local web space. In our method, we first construct a linked graph structure using...
We developed a novel web application called “My Portal Viewer (MPV)”, which automatically categorizes and integrates meta-data from many news pages based on the user’s preferences after gathering these news pages from various news sites. Our unique approach is based on two points: one is an automatic categorization of collected information based on user’s interests and knowledge, and the other is...
In this paper, we address a novel method of Web query expansion by using WordNet and TSN. WordNet is an online lexical dictionary which describes word relationships in three dimensions of Hypernym, Hyponym and Synonym. And their impacts to expansions are different. We provide quantitative descriptions of the query expansion impact along each dimension. However, WordNet may bring many noises for the...
A method is proposed for viewing broadcast content that converts TV programs into Web content and integrates the results with related information, enabling one to flexibly browse the original content with value-added content and from various viewpoints. Even though the amount of information available via TV programs and the Web is increasing constantly, humans have a definite ceiling on their spare...
Although caching has been shown to be an efficient technique to improve the performance of database systems, it also introduces the overhead and complexity in maintaining data consistency between the primary copies on servers and the cached copies on clients. Little research has been performed for data caching in the mobile ad-hoc network (MANET) environment where both servers and clients are nomadic...
Point-transformation schemes transform multidimensional points to one-dimensional values so that conventional access methods can be used to index multidimensional points, enabling convenient integration of multidimensional query facilities into complex transactional database management systems. However, in high-dimensional data spaces, the computational complexity of the required query transformation...
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