This paper focuses on the version models underlying both commercial systems and research prototypes. It provides an overview and classification of different versioning paradigms. Furthermore, it defines and relates fundamental concepts such as revisions, variants, configurations, and changes. In particular, we focus on intensional versioning, i.e., construction of versions based on configuration rules. Finally,we provide an overview of systems whichhave had significant impact on the development of the SCM discipline, and classify them according to a detailed taxonomy

Over the past several years, a number of information discovery and access tools have been introduced in the Internet, including Archie, Gopher, Netfind, and WAIS. These tools have become quite popular, and are helping to redefine how people think about wide-area network applications. Yet, they are not well suited to supporting the future information infrastructure, which will be characterized by enormous data volume, rapid growth in the user base, and burgeoning data diversity. In this paper we indicate trends in these three dimensions and survey problems these trends will create for current approaches. We then suggest several promising directions of future resource discovery research, along with some initial results from projects carried out by members of the Internet Research Task Force Research Group on Resource Discovery and Directory Service.

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In this paper, we report about the design, development, and implementation of the SEPIA cooperative hypermedia authoring environment. It provides results on the following aspects of SEPIA: persistent and shared data storage, hypermedia data model with composites, sophisticated and comprehensive authoring functionality, support for a new rhetoric and for cooperative work. We start by identifying the challenge of hypermedia authoring and production which serves as the driving force for our development. Using interacting problem spaces as the vehicle for modelling the dynamic aspects of authoring, we arrive at a set of requirements answered by the concept of "activity spaces". The design of coherent hyperdocuments is facilitated by our "construction kit". Furthermore, we describe the extensions and modifications necessary to support multiple authors with the cooperative version of SEPIA. The central issue of the paper is the system architecture and its implementation. We describe the basi...

There are currently a number of commercially available hypertext and hypermedia systems, of varying levels of sophistication and usability, but there are still many problems to be resolved in the design of such systems. In this paper, we itemise some of the major problems that we have identified as possibly causing a barrier to the growth and development of hypermedia applications outside the research community. A model of an open hypermedia architecture with dynamic linking features is proposed that moves some way to resolving these problems, and the first implementation of the system, Microcosm, is presented and discussed.

A design rationale (DR) is a representation of the reasoning behind the design of an artifact. In recent years, the use of semiformal notations for structuring arguments about design decisions has attracted much interest within the human-computer interaction and software engineering communities, leading to a number of DR notations and support environments. This paper examines two foundational claims made by argumentation-based DR approaches: that expressing DR as argumentation is useful, and that designers can use such notations. The conceptual and empirical basis for these claims is examined, firstly by surveying relevant literature on the use of argumentation in non-design contexts (from which current DR efforts draw much inspiration), and secondly, by surveying DR work. Evidence is classified according to the research contribution it makes, the kind of data on which claims are based (anecdotal or experimental), the extent to which the claims made are substantiated, and whether or not the users of the approach were also the researchers. In the survey, a trend towards tightly integrating DR with other design representations is noted, but it is argued that taken too far, this may result in the loss of the original vision of argumentative

A graph-oriented object database model (GOOD) is introduced as a theoretical basis for database systems in which manipulation as well as conceptual representation of data is transparently graph-based. In the GOOD model, the scheme as well as the instance of an object database is represented by a graph, and the data manipulation is expressed by graph transformations. These graph transformations are described using five basic operations and a method construct, all with a natural semantics. The basic operations add and delete objects and edges in function of the matchings of a pattern. The expressiveness of the model in terms of object-oriented modeling and data manipulation power is investigated. Index terms: Database models, query languages, graph transformations, objectoriented databases, user interfaces. Preliminary versions of this paper were presented at the 9th ACM Symposium on Principles of Database Systems [16] and the 1990 ACM SIGMOD International Conference on Management of D...

rom the beginning, hypermedia application design has been driven primarily by technological innovations and constrained by technical feasibility. For the last few years, however, usability methods and results from human factors research have been gaining more influence [17]. Despite this trend toward user-oriented development procedures, issues of cognition and human information processing still are widely neglected and barely influence hypermedia design.

This paper describes a new approach for dealing with the vocabulary problem in human-computer interaction. Most approaches to retrieving textual materials depend on a lexical match between words in users' requests and those in or assigned to database objects. Because of the tremendous diversity in the words people use to describe the same object, lexical matching methods are necessarily incomplete and imprecise [5]. The latent semantic indexing approach tries to overcome these problems by automatically organizing text objects into a semantic structure more appropriate for matching user requests. This is done by taking advantage of implicit higher-order structure in the association of terms with text objects. The particular technique used is singular-value decomposition, in which a large term by text-object matrix is decomposed into a set of about 50 to 150 orthogonal factors from which the original matrix can be approximated by linear combination. Terms and objects are represented by 50 to 150 dimensional vectors and matched against user queries in this “semantic” space. Initial tests find this completely automatic method widely applicable and a promising way to improve users' access to many kinds of textual materials, or to objects and services for which textual descriptions are available.