BibSonomyburst/user/eswc2008/ontologyBibSonomy RSS feed for /user/eswc2008/ontology2012-02-16T18:51:14+01:00http://www.bibsonomy.org/bibtex/26b1ee8e572600c6d2efc47c9f58817ee/eswc2008eswc20082008-05-28T14:50:07+02:00integration semantic uddi universal web sawsdl discovery annotations language description owl service services ontology wsdl semantic-web-services-1 <span class="authorEditorList"><a href="/author/Kourtesis">Dimitrios Kourtesis</a>, and <a href="/author/Paraskakis">Iraklis Paraskakis</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:50:07 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSCombining SAWSDL, OWL-DL and UDDI for Semantically Enhanced Web Service Discovery2008integration semantic uddi universal web sawsdl discovery annotations language description owl service services ontology wsdl semantic-web-services-1 UDDI registries are included as a standard offering within the product suite of any major SOA vendor, serving as the foundation for establishing design-time and run-time SOA governance. Despite the success of the UDDI specification and its rapid uptake by the industry, the capabilities of its offered service discovery facilities are rather limited. The lack of machine-understandable semantics in the technical specifications and classification schemes used for retrieving services, prevent UDDI registries from supporting fully automated and thus truly effective service discovery. This paper presents the implementation of a semantically-enhanced registry that builds on the UDDI specification and augments its service publication and discovery facilities to overcome the aforementioned limitations. The proposed solution combines the use of SAWSDL for creating semantically annotated descriptions of service interfaces and the use of OWL-DL for modelling service capabilities and for performing matchmaking via DL reasoning.http://www.bibsonomy.org/bibtex/2771947296490ffa6cd01ada59cb6c1ec/eswc2008eswc20082008-05-28T14:50:06+02:00ontology end-to-end cultural retrieval evaluation semantic alignment heritage methods distance ontology-alignment <span class="authorEditorList"><a href="/author/Hollink">Laura Hollink</a>, <a href="/author/van Assem">Mark van Assem</a>, <a href="/author/Isaac">Antoine Isaac</a>, <a href="/author/Wang">Shenghui Wang</a>, and <a href="/author/Schreiber">Guus Schreiber</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:50:06 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSTwo Variations on Ontology Alignment Evaluation: Methodological Issues2008ontology end-to-end cultural retrieval evaluation semantic alignment heritage methods distance ontology-alignment Evaluation of ontology alignments is in practice done in two ways: (1) assessing individual correspondences and (2) comparing the alignment to a reference alignment. However, this type of evaluation does not guarantee that an application which uses the alignment will perform well. In this paper, we contribute to the current ontology alignment evaluation practices by proposing two alternative evaluation methods that take into account some characteristics of a usage scenario without doing a full-fledged end-to-end evaluation. We compare different evaluation approaches in three case studies, focussing on methodological issues. Each case study considers an alignment between a different pair of ontologies, ranging from rich and well-structured to small and poorly structured. This enables us to conclude on the use of different evaluation approaches in different settings.http://www.bibsonomy.org/bibtex/2537f0259c3f88cd0ff7507c2de0feb42/eswc2008eswc20082008-05-28T14:50:05+02:00business management process ontology analysis agents-application-ontologies <span class="authorEditorList"><a href="/author/Pedrinaci">Carlos Pedrinaci</a>, <a href="/author/Domingue">John Domingue</a>, and <a href="/author/de Medeiros">Ana Karla Alves de Medeiros</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:50:05 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSA Core Ontology for Business Process Analysis2008business management process ontology analysis agents-application-ontologies Business Process Management (BPM) aims at supporting the whole life-cycle necessary to deploy and maintain business processes in organisations. An important step of the BPM life-cycle is the analysis of the processes deployed in companies. However, the degree of automation currently achieved cannot support the level of adaptation required by businesses. Initial steps have been performed towards including some sort of automated reasoning within Business Process Analysis (BPA) but this is typically limited to using taxonomies. We present a core ontology aimed at enhancing the state of the art in BPA. The ontology builds upon a Time Ontology and is structured around the process, resource, and object perspectives as typically adopted when analysing business processes. The ontology has been extended and validated by means of an Events Ontology and an Events Analysis Ontology aimed at capturing the audit trails generated by Process-Aware Information Systems and deriving additional knowledge.http://www.bibsonomy.org/bibtex/2cd8b469b8da63e07df36d51c92fc8868/eswc2008eswc20082008-05-28T14:50:03+02:00ontology localization ontologies multilingual semantic-web-services-2 <span class="authorEditorList"><a href="/author/Espinoza">Mauricio Espinoza</a>, <a href="/author/Gómez-Pérez">Asunción Gómez-Pérez</a>, and <a href="/author/Mena">Eduardo Mena</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:50:03 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSEnriching an Ontology with Multilingual Information2008ontology localization ontologies multilingual semantic-web-services-2 Typically ontologies are described in a determined natural language. Organizations working in a multilingual environment demand multilingual ontologies. To solve this problem we propose LabelTranslator, a NeOn plug-in that automatically localize ontologies. Ontology localization consists in adapting an ontology to a concrete language and culture community. LabelTranslator takes as input an ontology whose labels are described in a source natural language and obtains the most probable translation of each ontology label in a target natural language. Our main contribution is the automatization of this process which reduces human efforts to localize manually the ontology. First, our system uses a translation service which obtains automatic translations of each ontology label (name of an ontology term) in English, German, or Spanish by consulting different linguistic resources such as lexical databases, bilingual dictionaries, and terminologies. Second, a ranking method is used to sort each ontology label according to similarity with its lexical and structural context. The experiments performed in order to evaluate the quality of translation show that our approach is a good approximation to enrich an ontology with multilingual information.http://www.bibsonomy.org/bibtex/27d5bef571852a9d6c49d409d25ba7f5f/eswc2008eswc20082008-05-28T14:50:03+02:00web semantic ontology services service wsmo-lite modelling <span class="authorEditorList"><a href="/author/Vitvar">Tomas Vitvar</a>, <a href="/author/Kopecky">Jacek Kopecky</a>, <a href="/author/Viskova">Jana Viskova</a>, and <a href="/author/Fensel">Dieter Fensel</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:50:03 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSWSMO-Lite Annotations for Web Services2008web semantic ontology services service wsmo-lite modelling Current efforts in Semantic Web Services do not sufficiently address the industrial developments of SOA technology in regards to bottom-up modeling of services, that is, building incremental layers on top of existing service descriptions. An important step in this direction has been made in the W3C by the SAWSDL WG proposing a framework for annotating WSDL services with arbitrary semantic descriptions. We build on the SAWSDL layer and define WSMO-Lite service ontology, narrowing down the use of SAWSDL as an annotation mechanism for WSMO-Lite. Ultimately, our goal is to allow incremental steps on top of existing service descriptions, enhancing existing SOA capabilities with intelligent and automated integration.http://www.bibsonomy.org/bibtex/2a87c0da670998e2977d26a48b072870c/eswc2008eswc20082008-05-28T14:50:02+02:00safety reuse conservative ontology modularity locality extensions formal-languages-1 <span class="authorEditorList"><a href="/author/Jimenez-Ruiz">Ernesto Jimenez-Ruiz</a>, <a href="/author/Grau">Bernardo Cuenca Grau</a>, <a href="/author/Sattler">Ulrike Sattler</a>, <a href="/author/Schneider">Thomas Schneider</a>, and <a href="/author/Berlanga-Llavori">Rafael Berlanga-Llavori</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:50:02 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSSafe and Economic re-use of ontologies: a logic-based methodology and tool support2008safety reuse conservative ontology modularity locality extensions formal-languages-1 Driven by application requirements and using well-understood theoretical results, we describe a novel methodology and a tool for modular ontology design. We support the user in the safe use of imported symbols and in the economic import of the relevant part of the imported ontology. Both features are supported in a well-understood way: safety guarantees that the semantics of imported concepts is not changed, and economic import guarantees that no difference can be observed between importing the whole ontology and importing the relevant part.http://www.bibsonomy.org/bibtex/20aedaf7d891b39d35f46baf40901c299/eswc2008eswc20082008-05-28T14:50:01+02:00similalrity inductive learning unswering uncertainty ontology logic description population measure query <span class="authorEditorList"><a href="/author/d&#039;Amato">Claudia d&#039;Amato</a>, <a href="/author/Fanizzi">Nicola Fanizzi</a>, and <a href="/author/Esposito">Floriana Esposito</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:50:01 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSQuery Answering and Ontology Population: an Inductive Approach2008similalrity inductive learning unswering uncertainty ontology logic description population measure query In the context of Semantic Web, deductive reasoning is used for making explicit the implicit knowledge of a knowledge base (KB). Anyway, purely logic-based approaches can fail when data comes from distributed sources, where contradictions usually turn out. Inductive instance-based learning methods can be effectively used in such a case, since they are well known to be efficient and fault tolerant. In this paper we propose an inductive method for improving the concept retrieval and for the performing the ontology population in a (semi-)automatic way. By casting concept retrieval to a classification problem with the goal of assessing the individual memberships w.r.t. the query concepts, we propose an extension of the \emph{k-Nearest Neighbor} algorithm for Description Logic KBs. It is based on the exploitation of an \emph{entropy}-based dissimilarity measure. The procedure retrieves individuals belonging to query concepts, by analogy with other training instances, on the grounds of the classification of the nearest ones w.r.t.\ the dissimilarity measure. We experimentally show that the behavior of the classifier is comparable with the one of a standard reasoner. Moreover we show that new knowledge (not logically derivable) is induced. It can be suggested to the knowledge engineer for validation, during the ontology population task.http://www.bibsonomy.org/bibtex/2bfc09b600bc356d29ab2c236fa8216ed/eswc2008eswc20082008-05-28T14:49:59+02:00alignment evaluation usage ontology scenarios thesaurus ontology-alignment <span class="authorEditorList"><a href="/author/Isaac">Antoine Isaac</a>, <a href="/author/Matthezing">Henk Matthezing</a>, <a href="/author/van der Meij">Lourens van der Meij</a>, <a href="/author/Schlobach">Stefan Schlobach</a>, <a href="/author/Wang">Shenghui Wang</a>, and <a href="/author/Zinn">Claus Zinn</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:49:59 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSPutting ontology alignment in context: usage scenarios, deployment and evaluation in a library case2008alignment evaluation usage ontology scenarios thesaurus ontology-alignment Thesaurus alignment plays an important role in realising efficient access to heterogeneous Cultural Heritage data. Current ontology alignment techniques, however, provide only limited value for such access as they consider little if any requirements from realistic use cases or application scenarios. In this paper, we focus on two real-world scenarios in a library context: thesaurus merging and book re-indexing. We identify their particular requirements and describe our approach of deploying and evaluating thesaurus alignment techniques in this context. We have applied our approach for the Ontology Alignment Evaluation Initiative, and report on the performance evaluation of participants’ tools wrt. the application scenario at hand. It shows that evaluations of tools requires significant effort, but when done carefully, brings many benefits.http://www.bibsonomy.org/bibtex/26e70f101963dbb1cc14244a34183031f/eswc2008eswc20082008-05-28T14:49:58+02:00exploratory interfaces management visualization ontology social personal semantic desktop user information pimo applications-1 <span class="authorEditorList"><a href="/author/Thai">VinhTuan Thai</a>, <a href="/author/Handschuh">Siegfried Handschuh</a>, and <a href="/author/Decker">Stefan Decker</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:49:58 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSIVEA: An Information Visualization Tool for Personalized Exploratory Document Collection Analysis2008exploratory interfaces management visualization ontology social personal semantic desktop user information pimo applications-1 Knowledge work in many fields requires examining several aspects of a collection of documents to attain meaningful understanding that is not explicitly available. Despite recent advances in document corpus visualization research, there is still a lack of principled approaches which enable the users to personalize the exploratory analysis process. In this paper, we present IVEA (Information Visualization for Exploratory Document Collection Analysis), an innovative visualization tool which employs the PIMO (Personal Information Model) ontology to provide the knowledge workers with an interactive interface allowing them to browse for information in a personalized manner. Not only does the tool allow the users to integrate their personal knowledge into the exploration and analysis of a document collection, it also enables them to incrementally enrich their PIMO ontologies with new entities matching their evolving interests in the process, benefiting the users not only in their future experience with IVEA but also with other PIMO-based applications. The usability of the tool was preliminarily evaluated and the results were sufficiently encouraging to make it worthwhile to conduct a larger-scale usability study.http://www.bibsonomy.org/bibtex/26065000208a26bb29e5eaeaff96fd035/eswc2008eswc20082008-05-28T14:49:58+02:00web games incentives online engineering semantic ontology user-interfaces-and-personalization <span class="authorEditorList"><a href="/author/Siorpaes">Katharina Siorpaes</a>, and <a href="/author/Hepp">Martin Hepp</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:49:58 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSOntoGame: Weaving the Semantic Web by Online Gaming2008web games incentives online engineering semantic ontology user-interfaces-and-personalization Most of the challenges faced when building the Semantic Web require a substantial amount of human labor and intelligence. Despite significant advancement in ontology learning and human language technology, building ontologies, annotating data, and establishing alignments between multiple ontologies remain tasks that highly depend on human intelligence, both as a source of domain expertise and for specifying the results. This means that individuals need to contribute time, and sometimes other resources. Now, we can observe a sharp contrast in user interest in two branches of Web activity: While the “Web 2.0” movement lives from an unprecedented amount of contributions from Web users, we witness a substantial lack of user involvement in the aforementioned tasks . We assume that one cause of the latter is a lack of proper incentive structures, i.e., settings in which the perceived benefits outweigh the efforts for people to contribute. As a novel solution, we (1) propose to masquerade the core tasks of weaving the Semantic Web behind on-line, multi-player game scenarios, in order to create proper incentives for humans to get involved. Doing so, we adopt the findings from the already famous “games with a purpose” by von Ahn, who has shown that presenting a useful task, which requires human intelligence, in the form of an on-line game can motivate a large amount of people to work heavily on this task, and this for free. Then, we (2) describe our OntoGame prototypes, (3) provide preliminary evidence that users are willing to invest a lot of time into those games, (4) show that the users’ input creates reliable results, and (5) discuss how, by doing so, they unknowingly weave the Semantic Web.http://www.bibsonomy.org/bibtex/27c1cedbbff889c129dbb35a5ae7d36c4/eswc2008eswc20082008-05-28T14:49:55+02:00classification supervised machine learning subsumption alignment ontology binary ontology-alignment <span class="authorEditorList"><a href="/author/Spiliopoulos">Vassilis Spiliopoulos</a>, <a href="/author/Valarakos">Alexandros Valarakos</a>, and <a href="/author/Vouros">George Vouros</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:49:55 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSCSR: Discovering Subsumption Relations for the Alignment of Ontologies2008classification supervised machine learning subsumption alignment ontology binary ontology-alignment For the effective alignment of ontologies, the computation of equivalence relations between elements of ontologies is not enough: Subsumption relations play a crucial role as well. In this paper we propose the "Classification-Based Learning of Subsumption Relations for the Alignment of Ontologies" (CSR) method. Given a pair of concepts from two ontologies, the objective of CSR is to identify patterns of concepts' features that provide evidence for the subsumption relation among them. This is achieved by means of a classification task, using state of the art supervised machine learning methods. For the learning of the classifiers, CSR generates training datasets from the source ontologies', considering each ontology in isolation: This allows the method to tune itself to the idiosyncrasies of each of the source ontologies. The paper describes thoroughly the method, provides experimental results over an extended version of benchmarking series and discusses the potential of the method.http://www.bibsonomy.org/bibtex/2fca5d5336ff217df587d9d20fce0b872/eswc2008eswc20082008-05-28T14:49:55+02:00query mapping spatio-temporal ontology annotation change applications-2 <span class="authorEditorList"><a href="/author/Kauppinen">Tomi Kauppinen</a>, <a href="/author/Väätäinen">Jari Väätäinen</a>, and <a href="/author/Hyvönen">Eero Hyvönen</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:49:55 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSCreating and Using Geospatial Ontology Time Series in a Semantic Cultural Heritage Portal2008query mapping spatio-temporal ontology annotation change applications-2 Content annotations in semantic cultural heritage portals commonly make spatiotemporal references to historical regions and places using names whose meanings are different in different times. For example, historical administrational regions such as countries, municipalities, and cities have been renamed, merged together, split into parts, and annexed or moved to and from other regions. Even if the names of the regions remain the same (e.g., “Germany”), the underlying regions and their relationships to other regions may change (e.g., the regional coverage of “Germany” at different times). As a result, representing and finding the right ontological meanings for historical geographical names on the semantic web creates severe problems both when annotating contents and during information retrieval. This paper presents a model for representing the meaning of changing geospatial resources. Our aim is to enable precise annotation with temporal geospatial resources and to enable semantic search and browsing using related names from other historical time periods. A simple model and metadata schema is presented for representing and maintaining geospatial changes from which an explicit time series of temporal part-of ontologies can be created automatically. The model has been applied successfully to representing the complete change history of municipalities in Finland during 1865–2007, and the resulting ontology time series is used in the semantic cultural heritage portal CULTURESAMPO to support faceted semantic search of contents and to visualizing historical regions on overlaying maps originating from different historical eras.http://www.bibsonomy.org/bibtex/22042ef8759afd27e1d86a87c67e13e4f/eswc2008eswc20082008-05-28T14:49:55+02:00matching mapping probabilistic logics description ontology reasoning formal-languages-1 <span class="authorEditorList"><a href="/author/Castano">Silvana Castano</a>, <a href="/author/Ferrara">Alfio Ferrara</a>, <a href="/author/Lorusso">Davide Lorusso</a>, <a href="/author/Näth">Tobias Henrik Näth</a>, and <a href="/author/Moeller">Ralf Moeller</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:49:55 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSMapping Validation by Probabilistic Reasoning2008matching mapping probabilistic logics description ontology reasoning formal-languages-1 In the semantic web environment, where two or more independent ontologies can be used in order to describe knowledge and data, ontologies have to be aligned by defining mappings among the elements of one ontology and the elements of another ontology. Very often, mappings are not derived by the semantics of the ontologies that are compared, but, rather, by an evaluation of the similarity of the terminology used in the two ontologies or of their syntactic structure. Moreover, ontology mappings can be inaccurate, because ontology matching tools derive such mappings from inaccurate terminology or even because they are not specifically tailored for the domain at hand. In this paper, we propose a new mapping validation approach for interpreting similarity-based mappings as semantic relations, by coping also with inaccuracy situations. The idea is to see two independent ontologies as a unique distributed knowledge base and to assume a semantic interpretation of ontology mappings as probabilistic and hypothetical relations among ontology elements. We present and use a probabilistic reasoning tool in order to validate mappings and to possibly infer new relations among the ontologies.http://www.bibsonomy.org/bibtex/2dcf5b0c2917ad713144969a632ef1914/eswc2008eswc20082008-05-28T14:49:54+02:00dl-lite restricting ontology description forgetting logic formal-languages-2 <span class="authorEditorList"><a href="/author/Wang">Zhe Wang</a>, <a href="/author/Wang">Kewen Wang</a>, <a href="/author/Topor">Rodney Topor</a>, and <a href="/author/Pan">Jeff Z. Pan</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:49:54 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSRestricting and forgetting in DL-Lite2008dl-lite restricting ontology description forgetting logic formal-languages-2 Description logics form the foundation of ontologies used in the Semantic Web. To support reuse and integration of ontologies in Semantic Web applications, it is often necessary to restrict ontologies to a subset of their concepts and roles, or equivalently to forget a complementary subset of concepts and roles from the ontologies. We present the first detailed account of this problem for description logics, in particular for the DL-Lite family of description logics. Specifically, we present a semantic definition of forgetting that generalises the standard definition for classical logic. We introduce algorithms for forgetting concepts roles from both DL-Lite TBoxes and ABoxes. We prove the algorithms are sound and complete with respect to the semantics, and demonstrate how they can be used to speed-up query answering in DL-Lite knowledge bases.http://www.bibsonomy.org/bibtex/28d3ba133363062de93ffecfd805ce450/eswc2008eswc20082008-05-28T14:49:53+02:00thesauri mapping ontology mash-up application service applications-1 <span class="authorEditorList"><a href="/author/Hyvönen">Eero Hyvönen</a>, <a href="/author/Viljanen">Kim Viljanen</a>, <a href="/author/Tuominen">Jouni Tuominen</a>, and <a href="/author/Seppälä">Katri Seppälä</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:49:53 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSBuilding a National Semantic Web Ontology and Ontology Service Infrastructure----The FinnONTO Approach2008thesauri mapping ontology mash-up application service applications-1 This article presents the vision and a framework for creating a national level ontology and ontology service infrastructure in Finland. Core parts of the system and ontologies have been implemented in a national project FinnONTO 2003-2007 funded by 37 companies and public organizations, and are being used it practice for creating semantic portals for eCulture, eHealth, eLearning, and eGovernment. The novelty of the FinnONTO infrastructure is based on two ideas. First, a system national of open source core ontologies is being developed by transforming thesauri in use into lightweight ontologies. The system is based an a large cross-domain top ontology, the General Finnish Ontology YSO, that is then extended by domain specific ontologies aligned with YSO and each other. Collaborative development of such a system of mutually aligned ontologies is supported for obtaining interoperability in their usage in applications. Second, the ONKI Ontology Server framework for publishing ontologies as ready to use services has been implemented. In contrast to earlier ontology servers, ONKI provides legacy and other applications with ready to use functionalities for using ontologies on the HTML level by Ajax and semantic widgets. The idea is to use ONKI for creating mash-up applications in a way analogous to using Google, Yahoo, or Nokia Maps, but in our case external applications are mashed-up with ontology support for, e.g, indexing content or semantic search using semantic autocompletion and disambiguation in a multi-lingual context.http://www.bibsonomy.org/bibtex/23171f537650171bf487c8afdc4b90320/eswc2008eswc20082008-05-28T14:49:51+02:00ontology logic description extraction classification module incremental formal-languages-1 <span class="authorEditorList"><a href="/author/Suntisrivaraporn">Boontawee Suntisrivaraporn</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:49:51 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSModule Extraction and Incremental Classification: A Pragmatic Approach for EL+ Ontologies2008ontology logic description extraction classification module incremental formal-languages-1 The description logic EL+ has recently proved practically useful in the life science domain with presence of several large-scale biomedical ontologies such as SNOMED CT. To deal with ontologies of this scale, standard reasoning of classification is essential but not sufficient. The ability to extract relevant fragments from a large ontology and to incrementally classify it has become more crucial to support ontology design, maintenance and re-use. In this paper, we propose a pragmatic approach to module extraction and incremental classification for EL+ ontologies and report on empirical evaluations of our algorithms which have been implemented as an extension of the CEL reasoner.http://www.bibsonomy.org/bibtex/212988f7dbd3e3e61866b745a7247ee88/eswc2008eswc20082008-05-28T14:49:50+02:00cnl controlled syntax ontology authoring language owl natural ontologies-and-natural-language <span class="authorEditorList"><a href="/author/Hart">Glen Hart</a>, <a href="/author/Johnson">Martina Johnson</a>, and <a href="/author/Dolbear">Catherine Dolbear</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:49:50 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSRabbit: Developing a Control Natural Language for Authoring Ontologies2008cnl controlled syntax ontology authoring language owl natural ontologies-and-natural-language The mathematical nature of description logics has meant that domain experts find it hard to understand. This forms a significant impediment to the creation and adoption of ontologies. This paper describes Rabbit, a Controlled Natural Language that can be translated into OWL with the aim of achieving both comprehension by domain experts and computational preciseness. We see Rabbit as complementary to OWL, extending its reach to those who need to author and understand domain ontologies but for whom OWL is difficult to comprehend even when expressed in more user-friendly forms such as the Manchester Syntax. The paper outlines the main grammatical aspects of Rabbit, which can be broadly classified into declarations, concept descriptions and definitions, and elements to support interoperability between ontologies. The paper also describes the human subject testing that has been performed to date and indicates the changes currently being made to the language following this testing. Further modifications have been based on practical experience result from the application of Rabbit for the development of operational ontologies in the domain of topography.