BibSonomy publications for /tag/ontologyTue Feb 14 09:53:05 CET 2012Edinburgh, ScotlandProceedings of the 4th Workshop on Evaluating Ontologies for the Web (EON2006)mayGold Standard Based Ontology Evaluation Using Instance Assignment2006evaluation ontology Sat Jan 28 03:16:06 CET 2012New York, NY, USAWikiSym '06: Proceedings of the 2006 international symposium on Wikis143--144OntoWiki: community-driven ontology engineering and ontology usage based on Wikis2006collaboration ontology semanticweb socialsoftware wiki Ontologies are consensual representations of a domain of discourse and the backbone of the future Semantic Web. Currently, however, only a fraction of Web users can take part in the process of building ontologies. In this paper, we show that standard Wiki technology can be used as an ontology development platform, reducing entry barriers for the participation of users in the creation and maintenance of ontologies, and describe our first OntoWiki prototype.Sat Jan 28 03:10:22 CET 2012International Semantic Web Conferenceconf/semweb/2002221-235Lecture Notes in Computer ScienceOntoEdit: Collaborative Ontology Development for the Semantic Web.23422002collaborative development ontology Thu Jan 26 14:54:45 CET 2012cite arxiv:1201.1085Comment: Submitted to New Journal of PhysicsOntologies and tag-statistics2012ontology tags Due to the increasing popularity of collaborative tagging systems, the research on tagged networks, hypergraphs, ontologies, folksonomies and other related concepts is becoming an important interdisciplinary topic with great actuality and relevance for practical applications. In most collaborative tagging systems the tagging by the users is completely "flat", while in some cases they are allowed to define a shallow hierarchy for their own tags. However, usually no overall hierarchical organisation of the tags is given, and one of the interesting challenges of this area is to provide an algorithm generating the ontology of the tags from the available data. In contrast, there are also other type of tagged networks available for research, where the tags are already organised into a directed acyclic graph (DAG), encapsulating the "is a sub-category of" type of hierarchy between each other. In this paper we study how this DAG affects the statistical distribution of tags on the nodes marked by the tags in various real networks. We analyse the relation between the tag-frequency and the position of the tag in the DAG in two large sub-networks of the English Wikipedia and a protein-protein interaction network. We also study the tag co-occurrence statistics by introducing a 2d tag-distance distribution preserving both the difference in the levels and the absolute distance in the DAG for the co-occurring pairs of tags. Our most interesting finding is that the local relevance of tags in the DAG, (i.e., their rank or significance as characterised by, e.g., the length of the branches starting from them) is much more important than their global distance from the root. Furthermore, we also introduce a simple tagging model based on random walks on the DAG, capable of reproducing the main statistical features of tag co-occurrence. Mon Jan 23 08:06:15 CET 2012EKAWconf/ekaw/201074-89Lecture Notes in Computer ScienceOntology Development for the Masses: Creating ICD-11 in WebProtégé.63172010creating development icd masses ontology Fri Jan 20 10:30:56 CET 2012New York, NY, USAProceedings of the sixth international conference on Knowledge capture121--128Extracting relevant questions to an RDF dataset using formal concept analysis2011analysis concept fca formal ontology rdf semantic web With the rise of linked data, more and more semantically described information is being published online according to the principles and technologies of the Semantic Web (especially, RDF and SPARQL). The use of such standard technologies means that this data should be exploitable, integrable and reusable straight away. However, once a potentially interesting dataset has been discovered, significant efforts are currently required in order to understand its schema, its content, the way to query it and what it can answer. In this paper, we propose a method and a tool to automatically discover questions that can be answered by an RDF dataset. We use formal concept analysis to build a hierarchy of meaningful sets of entities from a dataset. These sets of entities represent answers, which common characteristics represent the clauses of the corresponding questions. This hierarchy can then be used as a querying interface, proposing questions of varying levels of granularity and specificity to the user. A major issue is however that thousands of questions can be included in this hierarchy. Based on an empirical analysis and using metrics inspired both from formal concept analysis and from ontology summarization, we devise an approach for identifying relevant questions to act as a starting point to the navigation in the question hierarchy.Thu Jan 19 16:06:12 CET 2012Wilhelmshöher Allee 73, 34121 Kassel, GermanydezInformation Exchange and Fusion in Dynamic and Heterogeneous Distributed Environments2010self-adaptive Heterogeneous computing ontology ubiquitous VENUS_VS mobile itegpub adaptation Context awareness, dynamic reconfiguration at runtime and heterogeneity are key characteristics of future distributed systems, particularly in ubiquitous and mobile computing scenarios. The main contributions of this dissertation are theoretical as well as architectural concepts facilitating information exchange and fusion in heterogeneous and dynamic distributed environments. Our main focus is on bridging the heterogeneity issues and, at the same time, considering uncertain, imprecise and unreliable sensor information in information fusion and reasoning approaches. A domain ontology is used to establish a common vocabulary for the exchanged information. We thereby explicitly support different representations for the same kind of information and provide Inter-Representation Operations that convert between them. Special account is taken of the conversion of associated meta-data that express uncertainty and impreciseness. The Unscented Transformation, for example, is applied to propagate Gaussian normal distributions across highly non-linear Inter-Representation Operations. Uncertain sensor information is fused using the Dempster-Shafer Theory of Evidence as it allows explicit modelling of partial and complete ignorance. We also show how to incorporate the Dempster-Shafer Theory of Evidence into probabilistic reasoning schemes such as Hidden Markov Models in order to be able to consider the uncertainty of sensor information when deriving high-level information from low-level data. For all these concepts we provide architectural support as a guideline for developers of innovative information exchange and fusion infrastructures that are particularly targeted at heterogeneous dynamic environments. Two case studies serve as proof of concept. The first case study focuses on heterogeneous autonomous robots that have to spontaneously form a cooperative team in order to achieve a common goal. The second case study is concerned with an approach for user activity recognition which serves as baseline for a context-aware adaptive application. Both case studies demonstrate the viability and strengths of the proposed solution and emphasize that the Dempster-Shafer Theory of Evidence should be preferred to pure probability theory in applications involving non-linear Inter-Representation Operations.Thu Jan 19 16:01:31 CET 2012Berlin, Heidelberg146-163Software Engineering for Self-Adaptive SystemsModeling of Context-Aware Self-Adaptive Applications in Ubiquitous and Service-Oriented Environments2009awareness myown architecture computing ontology adaptation function myPubl utility context service-oriented year:2009 compositional ubiquitous Thu Jan 19 15:17:48 CET 2012AcapulcoProceedings of the IJCAI workshop on ontologies and distributed systemsAugustAn Ontology for Context Aware Pervasive Computing Environments2003computing, pervasive ontology ubiquitous context, Wed Jan 18 20:25:43 CET 2012New York, NY, USAInternational World Wide Web conference (WWW 2009)SOFIE: A Self-Organizing Framework for Information Extraction2009information ontology semantic_web sofie Wed Jan 18 15:59:02 CET 2012Elements of a National Semantic Web Infrastructure : Case Study Finland on the Semantic Web2007finland finnonto ontology richterm_ba semantic_web This article presents the vision and results of creating the basis for a national semantic web content infrastructure in Finland in 2003–2007. The main elements of the infrastructure are shared and open metadata schemas, core ontologies, and public ontology services. Several practical applications testing and demonstrating the usefulness of the infrastructure are overviewed in the fields of eCulture, eHealth, eGovernment, eLearning, and eCommerce.Wed Jan 18 15:59:02 CET 2012Normdaten im Semantic Web : Konzept für eine Ontologie der Personennamendatei (PND) 2009authority_file bachelor fhh ontology owl personennamendatei pnd rdf rdfs semantic_web thesis The goal of this bachelor thesis is to develop a representation of the German authority file Personennamendatei (PND) using the languages Resource Description Framework (RDF), Resource Description Framework Schema Language (RDFS) and Web Ontology Language (OWL). A data structure for person's data is created - following the Semantic Web concept of presenting data in both human-readable and machine-computable ways. The basis for this is the existing Pica data format, but structural exibility must be kept possible. The model is build upon structures from existing standards like Dublin Core, Friend Of A Friend (FOAF), Functional Requirements for Bibliographic Records (FRBR), Functional Requirements for Authority Data (FRAD) and Resource Description and Access (RDA).Wed Jan 18 15:59:02 CET 2012Brussels, BelgiumMayTowards Methodological Principles for Ontology Engineering2005modeling ontology semantic_web Wed Jan 18 15:59:01 CET 2012Deep integration of the OWL ontology language into Ruby using metaprogramming2009ontology ruby semantic_web The arising Semantic Web is an important component of the Internet of the future. Semantic applications provide encouraging possibilities to control the exponentially growing data and information amount. Despite its considerable application potential, the idea of the Semantic Web is not enforced on a broad range yet. Thereby there are two problems of particular relevance: existing Semantic Web frameworks are either difficult to learn or cause problems because they do not avoid the generation of logical inconsistencies. The in this work developed, fundamentally new Semantic Web framework DEEP SEMANTICS first provides an efficient and quickly to learn approach to edit ontologies, second integrated consistency checks and third a fast processing of the data. Through the algorithmic realization of the so called deep integration approach, with DEEP SEMANTICS it is possible to convert OWL Lite ontologies in Ruby code. As a result a functional model of the ontology is generated in Ruby. The editing of ontologies is more efficient because less lines of source code achieve the same functionality as source code of conventional API-based Semantic Web frameworks. Moreover, the access to ontologies using DEEP SEMANTICS is much more intuitive and therefore easier to learn. The integrated consistency check corresponds to an important feature of DEEP SEMANTICS: consistency safeness. DEEP SEMANTICS is the first Semantic Web framework of its kind, which guarantees the logic consistency of the modified ontology. As the framework processes only those operations which cannot cause logical inconsistencies, it provides the developer of semantic applications a security in handling semantic data whose importance should not be underestimated. Thereby, DEEP SEMANTICS reveals an excellent operation time within the ontology editing. Further on, DEEP SEMANTICS was successfully applied for the implementation of the semantic image management application IKen. Using IKen, images can be annotated and searched on the basis of an ontology. Thereby, the application offers a novel approach for the utilization of semantic context information in graphical user interfaces. Depending on the entered term, IKen presents the user additional information stored in the ontology. During the implementation of IKen all three above mentioned advantages could be affirmed with respect to DEEP SEMANTICS. Additionally, new suggestions for the extension of DEEP SEMANTICS have been motivated, that lead to the implementation of novel, efficiency improving convenient functions. Furthermore, DEEP SEMANTICS promises to become a valuable building block for semantic applications in bioinformatics. In this thesis it was possible to discuss this on the basis of the results of the BIO2Me project. In summary of the presented work results it appears to be possible that DEEP SEMANTICS could become an important part of the Semantic Web. Das entstehende Semantic Web ist ein wichtiger Bestandteil des Internet der Zukunft. Semantische Anwendungen bieten vielversprechende Möglichkeiten um die exponentiell wachsenden Daten- und Informationsbestände zu beherrschen. Trotz seines bedeutenden Anwendungspotenzials hat sich die Idee des Semantic Web allerdings bis heute nicht auf breiter Basis durchsetzen können. Dabei sind zwei Probleme von besonderer Relevanz: bestehende Semantic Web Frameworks sind entweder für Entwickler schwer zu erlernen, oder bereiten Probleme da sie die Erzeugung von logischen Inkonsistenzen nicht verhindern. Das in dieser Arbeit entwickelte, fundamental neue Semantic Web Framework DEEP SEMANTICS bietet erstens einen effizienten und schnell zu erlernende Ansatz Ontologien zu bearbeiten, zweitens integrierte Konsistenzüberprüfungen und drittens eine schnelle Datenprozessierung. Durch die algorithmische Umsetzung des sogenannte Deep Integration Ansatzes ist es mit DEEP SEMANTICS möglich, OWL Lite Ontologien in Ruby Programmcode zu übersetzen. Als Resultat entsteht ein funktionales Modell der Ontologie in Ruby. Die Ontologiebearbeitung gestaltet sich damit wesentlich effizienter, da weniger Zeilen Programmcode die gleichen Funktionalitäten erreichen als Programmcode herkömmlicher API-basierter Semantic Web Frameworks. Zudem ist der Zugriff auf die Ontologiedaten über DEEP SEMANTICS wesentlich intuitiver und damit leichter zu erlernen. Die integrierte Konsistenzüberprüfung bezieht sich auf ein wichtiges Merkmal von DEEP SEMANTICS: Konsistenzsicherheit. DEEP SEMANTICS ist das erste Semantic Web Framework seiner Art, das die logische Konsistenz der bearbeiteten Ontologie sicherstellt. Indem das Framework nur solche Operationen ausführt, die keine logischen Inkonsistenzen hervorrufen können, gibt es den Entwicklern von semantischen Applikationen eine nicht zu unterschätzendes neue Sicherheit im Umgang mit semantischen Daten. Dabei zeigt DEEP SEMANTICS zudem ein hervorragendes Laufzeitverhalten bei der Ontologiedatenbearbeitung. Weiterhin wurde DEEP SEMANTICS in dieser Arbeit erfolgreich für die Implementierung der semantischen Bildverwaltungsanwendung IKen eingesetzt. Bilder können über IKen anhand einer Ontologie annotiert und gesucht werden. Dabei bietet die Anwendung einen neuartigen Ansatz für die Verwendung semantischer Kontextinformationen in graphischen Benutzerschnittstellen. Je nachdem welches Schlagwort in das System eingegeben wird, präsentiert IKen dem Anwender in der Ontologie hinterlegte Zusatzinformationen. In Bezug auf DEEP SEMANTICS bestätigten sich bei der Umsetzung von IKen die drei oben aufgeführten Vorteile. Zusätzlich konnten neue Anregungen für die Erweiterung von DEEP SEMANTICS gewonnen werden, die zur Implementierung von neuen, effizienzsteigernden Hilfsfunktionen führten. DEEP SEMANTICS verspricht zudem ein wertvoller Baustein für semantische Anwendungen in der Bioinformatik zu werden. Dies konnte in dieser Arbeit anhand der Ergebnisse des BIO2Me Projektes diskutiert werden. Zusammenfassend lassen es die in dieser Arbeit präsentierten Ergebnisse möglich erscheinen, dass DEEP SEMANTICS zu einem wichtigen Bestandteil des Semantic Web werden wird.Wed Jan 18 15:58:59 CET 2012New York, NY, USAInternational World Wide Web conference (WWW 2009)SOFIE: A Self-Organizing Framework for Information Extraction2009information ontology semantic_web sofie Wed Jan 18 15:58:55 CET 2012cite arxiv:1109.1088Comment: Classification, Ontology, Business Intelligence, Datamining, Inverted Index, Ontology Tree IndexA Framework for Business Intelligence Application using Ontological Classification2011business ontology rdf semantic_web Every business needs knowledge about their competitors to survive better. One of the information repositories is web. Retrieving Specific information from the web is challenging. An Ontological model is developed to capture specific information by using web semantics. From the Ontology model, the relations between the data are mined using decision tree. From all these a new framework is developed for Business Intelligence. Wed Jan 18 15:58:22 CET 2012Ontology of Rhetorical Blocks (ORB) W3C Interest Group Note 20 October 20112011ontology orb publications w3c Wed Jan 18 15:58:20 CET 2012cite arxiv:1110.4501Comment: IEEE New Technologies of Distributed Systems (NOTERE), 2011 11th Annual International Conference; ISSN: 2162-1896 Print ISBN: 978-1-4577-0729-2 INSPEC Accession Number: 12122775 2011An Ontology-Based Method for Semantic Integration of Business Components2011enterprise ontology semantic_web Building new business information systems from reusable components is today an approach widely adopted and used. Using this approach in analysis and design phases presents a great interest and requires the use of a particular class of components called Business Components (BC). Business Components are today developed by several manufacturers and are available in many repositories. However, reusing and integrating them in a new Information System requires detection and resolution of semantic conflicts. Moreover, most of integration and semantic conflict resolution systems rely on ontology alignment methods based on domain ontology. This work is positioned at the intersection of two research areas: Integration of reusable Business Components and alignment of ontologies for semantic conflict resolution. Our contribution concerns both the proposal of a BC integration solution based on ontologies alignment and a method for enriching the domain ontology used as a support for alignment. Wed Jan 18 15:57:20 CET 2012cite arxiv:0802.3492Comment: keywords: Resource Description Framework, Virtual Machines, Distributed Computing, Semantic WebThe RDF Virtual Machine2008ontology programming rdf semantic_web The Resource Description Framework (RDF) is a semantic network data model that is used to create machine-understandable descriptions of the world and is the basis of the Semantic Web. This article discusses the application of RDF to the representation of computer software and virtual computing machines. The Semantic Web is posited as not only a web of data, but also as a web of programs and processes. Wed Jan 18 15:57:05 CET 2012Semantic Publishing and Referencing Ontologies (SPAR)2011bibliographic ontology rdf semantic_web ontologyCommunity for tag(s) ontology