Wiki-Based Maturing of Process Descriptions
22407659
Wiki Based Maturing of Process Descriptions
Traditional process elicitation methods are expensive and time consuming. Recently, a trend toward collaborative, user centric, online business process modeling can be observed. Current social software approaches, satisfying such a collaborative modeling, mostly focus on the graphical development of processes and do not consider existing textual process description like HowTos or guidelines. We address this issue by combining graphical process modeling techniques with a wiki based light weight knowledge capturing approach and a background semantic knowledge base. Our approach enables the collaborative maturing of process descriptions with a graphical representation, formal semantic annotations, and natural language. Existing textual process descriptions can be translated into graphical descriptions and formal semantic annotations. Thus, the textual and graphical process descriptions are made explicit and can be further processed. As a result, we provide a holistic approach for collaborative process development that is designed to foster knowledge reuse and maturing within the system.
BPM
Frank Dengler Denny Vrandecic
186643555
Requirements for Wiki based Maturing of Process Descriptions
Frank Dengler Denny Vrandecic Elena Paslaru Bontas Simperl
9588205
Comparison of wiki based process modeling systems
As traditional process elicitation methods are expensive and time consuming, a trend toward collaborative, user centric, on line business process modeling can be observed. A common proposal in this area is the use of a semantic wiki based light weight knowledge capturing tool for collaborative process development. Although different frameworks have been proposed, nobody has compared the systems against existing requirements for collaborative maturing of processes. To address this issue we provide a comparison framework on the basis of these rewquierments, which we used to compare existing approaches.
i KNOW '11
Frank Dengler Denny Vrandecic Elena Paslaru Bontas Simperl
27223104
Wiki: A Technology for Conversational Knowledge Management and Group Collaboration
Wikis (from wikiwiki, meaning "fast" in Hawaiian) are a promising new technology that supports "conversational" knowledge creation and sharing. A Wiki is a collaboratively created and iteratively improved set of web pages, together with the software that manages the web pages. Because of their unique way of creating and managing knowledge, Wikis combine the best elements of earlier conversational knowledge management technologies, while avoiding many of their disadvantages. This article introduces Wiki technology, the behavioral and organizational implications of Wiki use, and Wiki applicability as groupware and help system software. The article concludes that organizations willing to embrace the "Wiki way" with collaborative, conversational knowledge management systems, may enjoy better than linear knowledge growth while being able to satisfy ad hoc, distributed knowledge needs.
Commun. Assoc. Inf. Syst.
Christian Wagner
6381308
Description logic programs: combining logic programs with description logic
We show how to interoperate, semantically and inferentially, between the leading Semantic Web approaches to rules (RuleML Logic Programs) and ontologies (OWL/DAML+OIL Description Logic) via analyzing their expressive intersection. To do so, we define a new intermediate knowledge representation (KR) contained within this intersection: Description Logic Programs (DLP) and the closely related Description Horn Logic (DHL) which is an expressive fragment of first order logic (FOL) DLP provides a significant degree of expressiveness, substantially greater than the RDF Schema fragment of Description Logic. We show how to perform DLP fusion: the bidirectional translation of premises and inferences (including typical kinds of queries) from the DLP fragment of DL to LP, and vice versa from the DLP fragment of LP to DL. In particular, this translation enables one to "build rules on top of ontologies" it enables the rule KR to have access to DL ontological definitions for vocabulary primitives (e.g. predicates and individual constants) used by the rules. Conversely, the DLP fusion technique likewise enables one to "build ontologies on top of rules" it enables ontological definitions to be supplemented by rules, or imported into DL from rules. It also enables available efficient LP inferencing algorithms/implementations to be exploited for reasoning over large scale DL ontologies.
WWW '03
Benjamin N Grosof Ian Horrocks Raphael Volz S Decker
10933943
A wiki based approach to enterprise architecture documentation and analysis
Enterprise architecture (EA) management is a challenging task, modern enterprises have to face. This task is often addressed via organization specific methodologies, which are implemented or derived from a respective EA management tool, or are at least partially aligned and supported by such tools. Nevertheless, especially when starting an EA management endeavor, the documentation of the EA is often not likely to satisfy the level of formalization, which is needed to employ an EA management tool. This paper address the issue of starting EA management, more precise EA documentation and analysis, by utilizing a wiki based approach. From there, we discuss which functions commonly implemented in wiki systems could be used in this context, which augmentations and extensions would be needed, and which potential impediments exist.
ECIS
Sabine Buckl Florian Matthes Christian Neubert Christian M Schweda
15083320
Semantic Wiki Refactoring. A strategy to assist Semantic Wiki evolution
The content and structure of a wiki evolve as a result of the collaborative e ort of the wiki users. In semantic wikis, this also results in the evolution of the ontology that is implicitly expressed through the semantic annotations. Without proper guidance, the semantic wiki can evolve in a chaotic manner resulting in quality problems in the underlying ontology, e.g. inconsistencies. As the wiki grows in size, the detection and solution of quality problems become more di cult. We propose an approach to detect quality problems in semantic wikis and assist users in the process of solving them. Our approach is inspired by the key principles of software refactoring, namely the cataloging and automated detection of quality problems (bad smells) and the application of quality improvement transformations (refactorings) In this paper we discuss the problem of evolving semantic wikis, present the core model of our approach, and introduce an extensible catalog of semantic wiki bad smells and an extensible toolkit of semantic wiki refactorings.
SemWiki@ESWC
Martin Rosenfeld Alejandro Fernandez Alicia Diaz
2731925
miRDB: a microRNA target prediction and functional annotation database with a wiki interface.
MicroRNAs (miRNAs) are short noncoding RNAs that are involved in the regulation of thousands of gene targets. Recent studies indicate that miRNAs are likely to be master regulators of many important biological processes. Due to their functional importance, miRNAs are under intense study at present, and many studies have been published in recent years on miRNA functional characterization. The rapid accumulation of miRNA knowledge makes it challenging to properly organize and present miRNA function data. Although several miRNA functional databases have been developed recently, this remains a major bioinformatics challenge to miRNA research community. Here, we describe a new online database system, miRDB, on miRNA target prediction and functional annotation. Flexible web search interface was developed for the retrieval of target prediction results, which were generated with a new bioinformatics algorithm we developed recently. Unlike most other miRNA databases, miRNA functional annotations in miRDB are presented with a primary focus on mature miRNAs, which are the functional carriers of miRNA mediated gene expression regulation. In addition, a wiki editing interface was established to allow anyone with Internet access to make contributions on miRNA functional annotation. This is a new attempt to develop an interactive community annotated miRNA functional catalog. All data stored in miRDB are freely accessible at http:/mirdb.org.
RNA
Xiaowei Wang
16944331
WikiWinWin: A Wiki Based System for Collaborative Requirements Negotiation
Defining requirements is one of the most critical activities in the development of software intensive systems. The EasyWinWin system has been very good in capturing initial requirements involving heterogeneous stakeholders in over 150 client developer requirements negotiations. However, it has been less easy to use in updating requirements and related information as a project proceeds and adapting to the evolving nature of the requirements. Because our clients are finding that wikis are easier to learn and use, and can organize information in a flexible and updatable manner, we have developed an initial version of a WikiWinWin system as a potential successor to EasyWinWin. We have conducted a case study of WikiWinWin, and the result shows that the initial WikiWinWin is basically good at facilitating stakeholder collaborative negotiation and learning, but has some limitations that we are now addressing.
Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008)
D Yang Di Wu Supannika Koolmanojwong A Winsor Brown Barry W Boehm
9034636
An alternative "description of personality" the big five factor structure.
In the 45 years since Cattell used English trait terms to begin the formulation of his "description of personality," a number of investigators have proposed an alternative structure based on 5 orthogonal factors. The generality of this 5 factor model is here demonstrated across unusually comprehensive sets of trait terms. In the first of 3 studies, 1,431 trait adjectives grouped into 75 clusters were analyzed; virtually identical structures emerged in 10 replications, each based on a different factor analytic procedure. A 2nd study of 479 common terms grouped into 133 synonym clusters revealed the same structure in 2 samples of self ratings and in 2 samples of peer ratings. None of the factors beyond the 5th generalized across the samples. In the 3rd study, analyses of 100 clusters derived from 339 trait terms suggest their potential utility as Big Five markers in future studies.
Journal of personality and social psychology
Lewis R Goldberg