The limits of Semantic Wikis - and beyond
2010-05-31T11:00:00+02:00
2010-05-31T11:45:00+02:00
University of Nancy
University of Nancy
Claudia Lopez
Claudia Lopez
University of Aalborg
University of Aalborg
data conversion
OpenDrugWiki – Using a Semantic Wiki for Consolidating, Editing and Reviewing of Existing Heterogeneous Drug Data
drug database
OpenDrugWiki – Using a Semantic Wiki for Consolidating, Editing and Reviewing of Existing Heterogeneous Drug Data
semantic wiki
The ongoing project which is described in this article pursues the integration and consolidation of drug data available in different Microsoft Office documents and existing information systems. An initial import of unstructured data out of five heterogeneous sources into a semantic wiki was performed using custom import scripts. Using Semantic MediaWiki and the Semantic Forms extension, we created a convenient wiki-based system for editing the merged data in one central application. Revised and reviewed data is exported back into production systems on a regular basis.
medical information system
FZI Karlsruhe
FZI Karlsruhe
Pavel Smrž
Pavel Smrž
PEST: Term-Propagation over Wiki-Structures as Eigenvector Computation
PageRank
structured data
fuzzy matching
PEST: Term-Propagation over Wiki-Structures as Eigenvector Computation
We present PEST, a novel approach to approximate querying of structured wiki data that exploits the structure of that data to propagate term weights between related wiki pages and tags. Based on the PEST matrix, eigenvectors representing the distribution of a term after propagation are computed. The result is an index which takes the document structure into account and can be used with standard document retrieval techniques. This article gives a detailed outline of the approach and gives first experimental results showing its viability.
semantic wiki
Khelifa Lydia
Khelifa Lydia
AGH University Krakow
AGH University Krakow
The aim of this paper is to contribute to the construction of a human and social sciences on-line dictionary. The latter is Wiki-oriented. It takes into account the multicultural aspect of the HSS (human and social sciences) as well as the ISO 1951 standard. It allows HSS researchers to exchange and to share their knowledge regardless of their geographical locations of work and/or of residence. After the conceptual description of this dictionary and the presentation of the mapping rules to Wiki semantic concepts, the paper will present an overview of the prototype that has been developed.
Human and Social Sciences
semantic wiki
Multicultural Wiktionary
A Wiki-Oriented On-line Dictionary for Human and Social Sciences
A Wiki-Oriented On-line Dictionary for Human and Social Sciences
Rainer Hammwöhner
Rainer Hammwöhner
Harold Solbrig
Harold Solbrig
DERI
DERI
Rolf Sint
Rolf Sint
The International Virtual Observatory Alliance (IVOA) comprises 17 Virtual Observatory (VO) projects and facilitates the creation, coordination and collaboration of standards promoting the use and reuse of astronomical data archives. The Semantics working group in the IVOA has repurposed five existing vocabularies (modelled using SKOS), capturing concepts within specific areas of astronomy expertise and applications. A major task however, is to promote the uptake of these semantic representations within the Astronomy community, and further, to let astronomers model (and in turn create links from) their own custom vocabularies to use these existing definitions. In this paper we show how Semantic Mediawiki (SMW) can be used to support expert interaction in the lifecycle of vocabulary creation, linking, and maintenance.
vocabularies
Collaborative Editing and Linking of Astronomy Vocabularies Using Semantic Mediawiki
semantics
semantic wiki
astronomy
Collaborative Editing and Linking of Astronomy Vocabularies Using Semantic Mediawiki
prototyping
semantic wiki
Prototyping a Browser for a Listed Buildings Database with Semantic MediaWiki
cultural heritage
Prototyping a Browser for a Listed Buildings Database with Semantic MediaWiki
Semantic MediaWiki
portal
Listed buildings, even if they are not top landmarks, are increasingly attracting visitors. People express interest in hidden gems in their neighborhood or along their travel itinerary, and in the history of the building they live in. All required data has been meticulously collected by the offices for historical monuments but is not flexibly accessible. In Bremen, the database of buildings (with location, map of the estate, construction history, architect, photos) is searchable and browsable online3, but that only helps users who know how to use a rigidly structured database search form. Our beginning BauDenkMalNetz effort (“listed building web”) aims at a wider purpose: modeling the semantic structure of these data, starting in Bremen but open for other data, and exposing them via a semantic web interface with enhanced querying and presentation capabilities. Requirements beyond interactive browsing comprise auto-generation of customized printed guides (e. g. “Bauhaus villas in my neighborhood”), on-demand presentation on mobile devices (e. g. “medieval churches along my travel itinerary”), and serving linked data for usage by other services.
LORIA
LORIA
Valentina Presutti
Valentina
Presutti
Sebastian Tramp
Sebastian Tramp
Antoni Hermoso Pulido
Antoni Hermoso Pulido
Access and Annotation of Archaelogical Corpus via a SemanticWiki
Access and Annotation of Archaelogical Corpus via a SemanticWiki
Semantic wikis have shown their ability to allow knowledge management and collaborative authoring. They are particularly appropriate for scientific collaboration. This paper details the main concepts and the architecture of WikiBridge, a semantic wiki, and its application in the archaelogical domain. Archaeologists primarily have a documentcentric work. Adding meta-information in the form of annotations has proved useful to enhance search. WikiBridge combines models and ontologies to increase data consistency within the wiki. Moreover, it allows several types of annotations: simple annotation, n-ary relations and recursive annotations. The consistency of these annotations is checked synchronously or asynchronously by using structural or domain constraints.
semantic consistency
application
semantic wiki
Marinette Savonnet
Marinette Savonnet
5th Workshop on Semantic Wikis
2010-05-31
2010-05-31
Lab Service Wiki: a wiki-based data management solution for protein production service
wiki
protein
workflow
semantic wiki
semantics
Lab Service Wiki: a wiki-based data management solution for protein production service
laboratory
Lab Service Wiki is a Semantic MediaWiki implementation for the management of a production laboratory. Here we describe its implementation on a protein service lab. Users of the service enter information about a sample and the desired analysis to be performed by using a semantic-enabled form built on top of a wiki page. After submitting, a workflow is created, and the manager of the service can assign different experimental tasks to the lab operators. The final output is the generation of a report for the requester. Users and operators, according to their profile and granted permissions, can track the state of the requests and the associated experiments at any time. People interested in this implementation can access it at: http://labservice.biocore.crg.cat
Fabien Gandon
Fabien Gandon
University of Rio de Janeiro
University of Rio de Janeiro
European Regiowiki Society
European Regiowiki Society
Human-Machine Collaboration
Human-machine Collaboration for Enriching Semantic Wikis using Formal Concept Analysis
Formal Concept Analysis
Human-machine Collaboration for Enriching Semantic Wikis using Formal Concept Analysis
Semantic wikis are new generation of collaborative tools. They allow to embed semantic annotations in the wiki content. These annotations allow to better organize and structure the wiki contents. It is then possible for users to build knowledge understandable by humans and computers. By this way, machines are allowed to produce or update semantic wiki pages as humans can do. In this paper, we propose a new smart agent based on Formal Concept Analysis. This smart agent can compute automatically category trees based on defined semantic properties. In order to reduce human-machine collaboration problems, humans just validate changes proposed by the smart agent. A distributed version of wiki is used to ensure consistency of the content during the validation process.
semantic wiki
Katharina Siorpaes
Katharina Siorpaes
Christoph Lange
Christoph Lange
Christian Wolff
Christian Wolff
Michela Bertero
Michela Bertero
Technical University of Brno
Technical University of Brno
A Perfect Match for Reasoning, Explanation, and Reason Maintenance: OWL 2 RL and Semantic Wikis
explanation
reasoning
semantic wiki
updates
Reasoning in wikis has focused so far mostly on expressiveness and tractability and neglected related issues of updates and explanation. In this demo, we show reasoning, explanation, and updates in the KiWi wiki and argue that it is a perfect match for OWL 2 RL reasoning. The KiWi implementation features a simple triple pattern rule based inconsistency tolerant language, sKWRL, which can naturally express most of OWL2 RL rules. Explanation and reason maintenance nicely complement the \work-in-progress" focus of wikis by explaining how which information was derived and thus help users to easily discover and remove sources of inconsistencies.
A Perfect Match for Reasoning, Explanation, and Reason Maintenance: OWL 2 RL and Semantic Wikis
Miriam Alloza
Miriam Alloza
José F. Aldana-Montes
José F. Aldana-Montes
Mayo Clinic
Mayo Clinic
Jean Rohmer
Jean Rohmer
ontologies
semantic wiki
TasTicWiki: A Semantic Wiki with Content Recommendation
recommender systems
TasTicWiki: A Semantic Wiki with Content Recommendation
Wikis are a great tool inside the Social Web, as they provide the chance of creating collaborative knowledge in a quick way. Semantic wikis are becoming popular as web technologies evolve: ontologies and semantic markup in the web allow the generation of machine-readable information. Semantic wikis are often seen as small semantic webs as they provide support for enhanced navigation and searching of their contents, just what the standards of the Semantic Web aim to offer. Moreover, the great amount of information normally present inside wikis, or any web page, creates the necessity of some kind of filtering or personalized recommendation in order to lighten the search of interesting items. We have developed TasTicWiki, a novel semantic wiki engine which takes advantage of semantic information in order, not only to enhance navigation and searching, but also to provide recommendation services.
Frank Puppe
Frank Puppe
Thales
Thales
Ontoprise
Ontoprise
Universität Würzburg
Universität Würzburg
University of Würzburg
University of Würzburg
Mark Markus
Mark Markus
Elena Simperl
Elena Simperl
Christine Müller
Christine Müller
The integration of semantic web services with three-dimensional virtual worlds offers many potential avenues for the creation of dynamic, content-rich environments which can be used to entertain, educate, and inform. One such avenue is the fusion of the large volumes of data from Wiki-based sources with virtual representations of historic locations, using semantics to filter and present data to users in effective and personalisable ways. This paper explores the potential for such integration, addressing challenges ranging from accurately transposing virtual world locales to semantically-linked real world data, to integrating diverse ranges of semantic information sources in a user-centric and seamless fashion. A demonstrated proof-of-concept, using the Rome Reborn model, shows several advantages that can be gained through the use of existing Wiki and semantic web services to rapidly and automatically annotate 3D content, as well as demonstrating the increasing need for Wiki content to be represented in a semantically-rich form. Such an approach has applications in a range of different contexts, including education, training, and cultural heritage.
semantic wiki
semantic web applications
Automating Content Generation for Large-scale Virtual Learning Environments using Semantic Web Services
Automating Content Generation for Large-scale Virtual Learning Environments using Semantic Web Services
virtual learning environments
automated domain ontology
digital assets contextualization
semantic wiki
body of knowledge
Jump-starting a Body-of-Knowledge with a Stylized Semantic Wiki Built on a Discipline Ontology
Several communities have engaged recently in assembling a Body of Knowledge (BOK) to organize the discipline knowledge for learning and sharing. BOK requirements typically include representing the domain, contextualizing resources (e.g. literature), and releasing the Social Web potential to maintain and improve it. Semantic wikis are excellent tools to handle domain (ontological) representations, to relate items, and to enable collaboration. Unfortunately, creating a whole BOK (structure, content and relations) from scratch may easily lead to the "white page syndrome", given the size and complexity of the domain information. This article presents an approach to jump-start a BOK, by implementing it as a semantic wiki organized around a domain ontology. Domain representation (structure and content) are initialized by automatically creating wiki pages for each ontology concept and per digital asset; the ontology itself is semi-automatically built using natural language processing (NLP) techniques. Contextualization is initialized by automatically linking concept- and asset-pages. The proposal's feasibility is shown with a prototype for a Software Architecture BOK, built from 1,000 articles indexed by a scienti¯c digital library. The proposed approach separates the issues of domain representation, resources contextualization, and social elaboration, allowing communities to try on alternate solutions for each issue.
Jump-starting a Body-of-Knowledge with a Stylized Semantic Wiki Built on a Discipline Ontology
David Aumüller
David Aumüller
Klara Weiand
Klara Weiand
Anna Lisa Gentile
Anna Lisa
Gentile
Guglielmo Roma
Guglielmo Roma
Carnegie Mellon University
Carnegie Mellon University
Know-Center Graz
Know-Center Graz
INRIA SCORE
INRIA SCORE
Alicia Díaz
Alicia Díaz
UniBW München
UniBW München
DSMW is an extension to Semantic Mediawiki (SMW), it allows to create a network of SMW servers that share common semantic wiki pages. DSMW users can create communication channels between servers and use a publish-subscribe approach to manage the change propagation. DSMW synchronizes concurrent updates of shared semantic pages to ensure their consistency. It oers new collaboration modes to semantic wiki users and supports data ow-oriented processes.
replication
Distributed
DSMW: Distributed Semantic MediaWiki
DSMW: Distributed Semantic MediaWiki
semantic wiki
consistency
Semantic MediaWiki
Universität Leipzig
Universität Leipzig
Norman Gray
Norman Gray
Stefanie Lindstaedt
Stefanie Lindstaedt
Andrea Giovanni Nuzzolese
Andrea Giovanni
Nuzzolese
Marek Schmidt
Marek Schmidt
Hammou Fadili
Hammou Fadili
Hala Skaf-Molli
Hala Skaf-Molli
Tudor Groza
Tudor Groza
Denny Vrandecic
Denny Vrandecic
Matthias Samwald
Matthias Samwald
Nils Aschenbeck
Nils Aschenbeck
Talk pages
MediaWiki
Enhancing MediaWiki Talk pages with Semantics for Better Coordination - A Proposal
ontologies
RDFa
We present a 15-item classification for MediaWiki Talk pages comments, and use this classification to describe a new lightweight ontology extending SIOC. We use this ontology to enhance MediaWiki Talk pages with RDFa.
semantic wiki
SIOC
Enhancing MediaWiki Talk pages with Semantics for Better Coordination - A Proposal
Fraunhofer IESE
Fraunhofer IESE
Jacky Akoka
Jacky Akoka
Tobias Kuhn
Tobias Kuhn
Hernan Astudillo
Hernan Astudillo
Max Völkel
Max Völkel
LIRIS, Université de Lyon
LIRIS, Université de Lyon
La Plata University
La Plata University
Sören Auer
Sören Auer
Karlsruhe Institute of Technology
Karlsruhe Institute of Technology
Aldo Gangemi
Aldo
Gangemi
Michael Erdmann
Michael Erdmann
Michael Kohlhase
Michael Kohlhase
Gérôme Canals
Gérôme Canals
Ilham Nadira Lammari
Ilham Nadira Lammari
INRIA
INRIA
Joachim Baumeister
Joachim Baumeister
Semantic Web Company
Semantic Web Company
Jacobs University Bremen
Jacobs University Bremen
Víctor Codocedo
Víctor Codocedo
John Breslin
John Breslin
Herman Geuvers
Herman Geuvers
Amélie Cordier
Amélie Cordier
Jodi Schneider
Jodi Schneider
Joaquín J. Molina-Castro
Joaquín J. Molina-Castro
Grzegorz J. Nalepa
Grzegorz J. Nalepa
Iadh Ounis
Iadh Ounis
Dataset about semwiki2010.
Tue May 03 19:04:31 CEST 2016
INRIA - Edelweiss
INRIA - Edelweiss
Daniel Schwabe
Daniel Schwabe
Tobias Bürger
Tobias Bürger
Malte Kiesel
Malte Kiesel
Alejandro Fernández
Alejandro Fernández
Christoph Hiemke
Christoph Hiemke
Stephanie Stroka
Stephanie Stroka
Björn Decker
Björn Decker
CNRS
CNRS
Viktoria Pammer
Viktoria Pammer
University of Munich
University of Munich
DFKI
DFKI
Anton Köstlbacher
Anton Köstlbacher
Amedeo Napoli
Amedeo Napoli
Sebastian Schaffert
Sebastian Schaffert
Eric Leclercq
Eric Leclercq
Fred Durão
Fred Durão
Alexander Haas
Alexander Haas
Martin Hepp
Martin Hepp
Ekkehard Haen
Ekkehard Haen
Thomas Kurz
Thomas Kurz
Pascal Molli
Pascal Molli
decision-support systems
Towards Meta-Engineering for Semantic Wikis
semantic wiki
meta engineering
Building intelligent systems is a complex task. In many knowledge engineering projects the knowledge acquisition activities can significantly benefit from a tool, that is tailored to the specific project setting with respect to domain, contributors, and goals. Specifying and building a new tool from scratch is ambitious, tedious, and delaying. In this paper we introduce a wiki-based meta-engineering approach allowing for the smooth beginning of the knowledge acquisition activities going along with tool specification and tailored implementation. Meta-engineering proposes that in a wiki-based knowledge engineering project not only the content (the knowledge base) should be developed in evolutionary manner but also the tool itself.
Towards Meta-Engineering for Semantic Wikis
STI Innsbruck
STI Innsbruck
Guoqian Jiang
Guoqian Jiang
Ian Dunwell
Ian Dunwell
Manuela Ruiz-Montiel
Manuela Ruiz-Montiel
François Bry
François Bry
Jakub Kotowski
Jakub Kotowski
Friedel Völker
Friedel Völker
Manfred Schied
Manfred Schied
Connecting Semantic Mediawiki to different Triple Stores Using RDF2Go
triple store connector
semantic mediawiki
This article describes a generic triple store connector for the popular Semantic MediaWiki software to be used with different triple stores like Jena or Sesame. Using RDF2Go as an abstraction layer it is possible to easily exchange triple stores. This ongoing work is part of the opendrugwiki project, a semantic wiki for distributed pharmaceutical research groups.
Connecting Semantic Mediawiki to different Triple Stores Using RDF2Go
semantic wiki
rdf2go
Universität Zürich
Universität Zürich
Claudia Müller-Birn
Claudia Müller-Birn
Anca Dumitrache
Anca Dumitrache
Silvia Speroni
Silvia Speroni
Fabian Kneissl
Fabian Kneissl
annotation
KiWi
information extraction
Annotation component for a Semantic Wiki
This demonstration shows the prototype of the annotation component in the KiWi semantic wiki and how it enables seamless com- bination and transformation of informal and formal knowledge. It shows how the advanced KiWi features, such as nested content items, reasoning and information extraction, can be used together to make rich semantic annotation both easy and useful.
semantic wiki
Annotation component for a Semantic Wiki
Stuart Chalmers
Stuart Chalmers
Martin Rosenfeld
Martin Rosenfeld
Markus Krötzsch
Markus Krötzsch
Jonas Maurus
Jonas Maurus
Alexandre Blansché
Alexandre Blansché
Jochen Reutelshoefer
Jochen Reutelshoefer
3558db59d8c7016b6c6a4686bfa21b249eb096bc
kiwi
social software
The most difficult thing with ideas is not to have them. It's to find out if they're good. This position paper demonstrates the requirements for an idea management application and presents the idea management tool “Ideator”. The Ideator is a software tool which is currently under development and which offers innovative and flexible solutions to idea management in company environments. It is based on the semantic wiki KiWi that is a framework for semantic social software applications. We present several functionalities of the Ideator and show which modifications and extensions of KiWi are necessary for their realisation.
innovation management
semantic wiki
idea management
Ideator - a collaborative enterprise idea management tool powered by KiWi
Ideator - a collaborative enterprise idea management tool powered by KiWi
Radboud University Nijmegen
Radboud University Nijmegen
Alasdair Gray
Alasdair Gray
Semantic Wiki Evolution
The content and structure of a wiki evolve as a result of the collaborative effort 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 difficult. 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.
Semantic Wiki Refactoring. A strategy to assist Semantic Wiki evolution
Semantic Wiki Refactoring. A strategy to assist Semantic Wiki evolution
semantic wiki
Refactoring
Semantic Wiki Quality
Siegfried Handschuh
Siegfried Handschuh
Alexandre Passant
Alexandre Passant
Salzburg Research, Knowledge and Media Technologies (KMT), Salzburg
Salzburg Research
Salzburg Research, Knowledge and Media Technologies (KMT), Salzburg
Salzburg Research
Nancy University
Nancy University