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The paper aims to discuss extensions of SPARQL that use regular expressions to navigate RDF graphs and may be used to answer queries considering RDFS semantics (in particular, nSPARQL and our proposal CPSPARQL).

The paper is based upon a theoretical comparison of the expressiveness and complexity of both nSPARQL and the corresponding fragment of CPSPARQL, that we call cpSPARQL.

The paper shows that nSPARQL and cpSPARQL (the fragment of CPSPARQL) have the same complexity through cpSPARQL, being a proper extension of SPARQL graph patterns, is more expressive than nSPARQL.

It has not been possible to the authors to compare the performance of our CPSPARQL implementation with other proposals. However, the experimentation has allowed to make interesting observations.

The paper includes implications for implementing the SPARQL RDFS entailment regime.

The paper demonstrates the usefulness of cpSPARQL language. In particular, cpSPARQL, which is sufficient for capturing RDFS semantics, admits an efficient evaluation algorithm, while the whole CPSPARQL language is in theory as efficient as SPARQL is. Moreover, using such a path language within the SPARQL structure allows for properly extending SPARQL.

All models have in common that they encode experience and always involve signs, signals, syntax, semantics and an ability to decode and derive meaning from what is encoded. Therefore, an ecological model can be considered a text T, written in a formal (mathematical) language defined by the authors as L(M_T).

The language chosen is a regular language generated by regular grammars which in turn are generated by finite automaton.

A text results from a union of some finite automata defining a textual grammar. Recognoscitive and generative grammars of words, defining the basis of the L(M_T) language are developed.

A mathematical modelling of ecological systems is developed in parts I and II of this research project.

A language for ecological systems modelling has been defined and its implementation discussed.

The purpose of this paper is to share findings on how to track the recurring use of items placed on electronic reserve over a period of time using the Create Lists application in Innovative's Millennium software, in order to help determine copyright compliance with regard to electronic reserves.

The approach takes the form of use of the Create Lists application in Innovative's Millennium ILS software to track repetitive use of electronic reserves over time and the creation of search statements using both Boolean and regular expressions to capture relevant data in the Create Lists application. Repetitive use of electronic reserve items was tracked over a four‐year period, with repetitive use initially rising, and then declining over the past year for Fort Lewis College.

Using both Boolean and regular expressions, it is possible to create a series of search statements that will retrieve information from item records in Millennium that identify materials that have been placed on electronic reserves over a series of semesters.

Research was conducted using the Create Lists application of Innovative's Millennium software. It is unknown whether other ILS systems have similar functionality or capability. The implications of the findings indicate that it is possible to track general electronic reserve copyright compliance over time.

The paper offers a methodology for gauging copyright compliance.

The progress of parallel computing in Information Retrieval (IR) is reviewed. In particular we stress the importance of the motivation in using parallel computing for text retrieval. We analyse parallel IR systems using a classification defined by Rasmussen and describe some parallel IR systems. We give a description of the retrieval models used in parallel information processing. We describe areas of research which we believe are needed.

This paper aims to propose a Web-based system for visualizing local politics in Japan. Although many local governments in Japan provide public access to political documents, researchers and scientists cannot take full advantage of them because they consist only of raw text. Therefore, there is a need for these to be converted into panel data and to visualize differences by region or over time. For ordinary citizens, visualizing differences between the topics discussed by assembly members can be useful in assessing their characteristics. The proposed system aims to provide a complete solution that meets all of these requirements.

The system has five main functions: full-text search for political documents, showing keywords in context, map and time-series visualization, cross-tabulation and political keyword extraction. Although three existing systems offer some of these functions, the proposed system integrates all the five necessary functions and provides a complete solution that meets all of the requirements.

The proposed system is demonstrated to be a complete solution for the requirements based on the comparisons with the existing systems and use cases.

The proposed system, which integrates all the five necessary functions and even adds a new cross-tabulation function, meets all the requirements and is a complete solution for researchers, scientists and ordinary citizens.

The purpose of this study is to automatically provide suggestions for predicting the likely status of a mechanical component is a key challenge in a wide variety of industrial domains.

Existing solutions based on ontological models have proven to be appropriate for fault diagnosis, but they fail when suggesting activities leading to a successful prognosis of mechanical components. The major reason is that fault prognosis is an activity that, unlike fault diagnosis, involves a lot of uncertainty and it is not always possible to envision a model for predicting possible faults.

This work proposes a solution based on massive text mining for automatically suggesting prognosis activities concerning mechanical components.

The great advantage of text mining is that makes possible to automatically analyze vast amounts of unstructured information to find corrective strategies that have been successfully exploited, and formally or informally documented, in the past in any part of the world.

To advance Java programming educations, the authors have developed a Java Programming Learning Assistant System (JPLAS) as a web application system. JPLAS provides fill-in-blank problems for novices to study the grammar and basic programming skills through code reading.

To select the blank elements with grammatically correct and unique answers from a given Java code, the authors have proposed the graph-based blank element selection algorithm. Then, the code for this problem should be highly readable to encourage novice students to study it. Because code readability can be improved by proper names for identifiers, the authors have also proposed the naming rule testing algorithm to identify codes with correct names.

In this paper, the authors present a fill-in-blank problem workbook by collecting suitable Java codes from textbooks and Web sites and applying these algorithms with several extensions. The workbook consists of 16 categories with a considerable number of problems that follow the conventional learning order of Java programming.

The proper set of ready-made fill-in-blank problems is effective in enhancing the usability of JPLAS both for teachers and students. For the preliminary evaluation, the authors assign a few problems to students. In coming semesters, the authors will use this workbook in the course to verify the adequacy of the proposal for novices.

This paper aims to describe the first year of implementation of the Innovative Interfaces Inc. Millennium Access Plus (MAP) portal at the University of Exeter Library, UK.

The paper provides a description of the features of MAP and a case study

In as little as 25 years, online information provision has been transformed. This has largely been uncontrolled, yet the resources now available offer rich returns for the data‐hungry end user. Increasingly, many users require their information immediately and really do not care where it is stored. Such demands, coupled with librarians’ natural tendency to apply order, have led to the development of library portals which aim to solve the problems arising from trying to navigate this labyrinth of information. The MAP portal is one such product. Using the NISO OpenURL standard, MAP offers three main elements – contextual linking via WebBridge, one step “multi” searching using MetaFind and resource authentication through Web Access Management (WAM). Use of this portal at the University of Exeter Library has made a considerable, positive impact on the recent use of online full‐text systems and services and the experiences undoubtedly point to a strong future for such interfaces everywhere.

The paper is limited to experiences at the University of Exeter Library.

The paper will inform the information community on the experiences of this innovative product

This is an original description of a new concept and provides evaluative material.

To provide a more requirements‐driven workload model for eXtensible Markup Language (XML) benchmark over the electronic data exchange and management in collaborative commerce.

A three‐component workload requirements model is formulated. They are the XML object model, the XML query operation model, and the control model. The object model extended from W3C data model gives a set of more generic data and document model. The query model enhanced from current and common benchmarks gives a more generalized set of standard and open queries against XML data and documents. The control model compiled from TPC and industry standards gives a set of more systematic experimental variables and performance metrics to set up and conduct an XML benchmark.

The long‐standing research issues of domain dependency and application irreproducibility of XML benchmarks are addressed, tackled and offered with a novel and computer‐aided alternative. Precision and cost‐effectiveness through a synthetic, standard, and scalable set of requirements‐driven workload model are presented.

XML constructs, constraints, and controls are investigated both in terms of data and documents. Workload formulation from the requirements analysis is explored. In‐depth schema, query, and control model to provide scalability and portability can be applied is developed.

Enterprise information integration over heterogeneous data sources has to be achieved through XML. Performance measurement and evaluation on XML is vital. With a more generic and generalized design, XML benchmark can become the key to the success of B2Bi interoperability and performance.

An origin of requirements‐driven benchmark modeling over collaborative commerce is presented. A novel extension on W3C XML model is created. A innovative enhancement from current XML benchmarks' query model is developed.