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  • 1.
    Billig, Andreas
    et al.
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering.
    Blomqvist, Eva
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering.
    Lin, Feiyu
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering.
    Semantic Matching based on Enterprise Ontologies2007In: Proccedings of OTM 2007: ODBASE - The 6th International Conference on Ontologies, DataBases, and Applications of Semantics, Vilamoura, Algarve, Portugal, November 25-30, 2007, 2007Conference paper (Refereed)
  • 2.
    Feiyu, Lin
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering.
    State of the Art: Automatic Ontology Matching2007Report (Other academic)
    Abstract [en]

    This report describes the theoretical foundations and relevant background in the domain of automatic ontology matching. It aims to show the range of ontology matching, matching strategies, and an overview of ontology matching systems. The measures for evaluating ontology matching are discussed. This report also summarizes interesting research questions in the field.

  • 3.
    Feiyu, Lin
    et al.
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Krizhanovsky, Andrew
    Institution of the Russian Academy of Sciences St.Petersburg Institute for Informatics and Automation RAS.
    Multilingual ontology matching based on Wiktionary data accessible via SPARQL Endpoint2011In: Proceedings of the 13th Russian Conference on Digital Libraries RCDL’2011, 2011, p. 19-26Conference paper (Refereed)
    Abstract [en]

    Interoperability is a feature required by the Semantic Web. It is provided by the ontology matching methods and algorithms. But now ontologies are presented not only in English, but in other languages as well. It is important to use an automatic translation for obtaining correct matching pairs in multilingual ontology matching. The translation into many languages could be based on the Google Translate API, the Wiktionary database, etc. From the point of view of the balance of presence of many languages, of manually crafted translations, of a huge size of a dictionary, the most promising resource is the Wiktionary. It is a collaborative project working on the same principles as the Wikipedia. The parser of the Wiktionary was developed and the machine-readable dictionary was designed. The data of the machine-readable Wiktionary are stored in a relational database, but with the help of D2R server the database is presented as an RDF store. Thus, it is possible to get lexicographic information (definitions, translations, synonyms) from web service using SPARQL requests. In the case study, the problem entity is a task of multilingual ontology matching based on Wiktionary data accessible via SPARQL endpoint. Ontology matching results obtained using Wiktionary were compared with results based on Google Translate API.

  • 4.
    Hammar, Karl
    et al.
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Lin, Feiyu
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Information Reuse and Interoperability with Ontology Patterns and Linked Data: First Experiences from the ExpertFinder Project2010In: Business information system workshops: BIS 2010 International Workshops / [ed] Witold Abramowicz, Robert Tolksdorf, Krzysztof Wecel, Berlin: Springer , 2010, p. 168-179Conference paper (Refereed)
    Abstract [en]

    Semantic web technologies show great promise in usage scenarios that involve information logistics. This paper is an experience report on improving the semantic web ontology underlying an application used in expert finding. We use ontology design patterns to find and correct poor design choices, and align the application ontology to commonly used semantic web ontologies in order to increase the interoperability of the ontology and application. Lessons learned and problems faced are discussed, and possible future developments of the project mapped out.

  • 5. Krizhanovsky, Andrew
    et al.
    Lin, Feiyu
    Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering.
    Related terms search based on WordNet / Wiktionary and its application in Ontology Matching2009In: Proceedings of the 11th Russian Conference on Digital Libraries RCDL’2009, Petrozavodsk, Russia, 2009, 2009, p. 363-369Conference paper (Refereed)
  • 6.
    Krizhanovsky, Andrew
    et al.
    St.Petersburg Institute for Informatics and Automation RAS.
    Lin, Feiyu
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Shilov, Nikolai
    St.Petersburg Institute for Informatics and Automation RAS.
    Smirnov, Alexander
    St.Petersburg Institute for Informatics and Automation RAS.
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Logistics-as-a-service: ontology-based architecture and approach2012Conference paper (Other academic)
    Abstract [en]

    Cyber-Physics System (CPS) is a relatively new term assuming tight integration of physical systems andcyber (IT) systems interacting in real time. Such systems aim at providing a flexible and extensibleinfrastructure supporting a variety of inputs (e.g. sensor-based and customer needs) and outputs(actuators or indicators/displays). CPSs rely on communication, computation and control infrastructuresto provide for efficient utilization of logistics infrastructure resources. In this context, Logistics-as-a-Service (LaaS) is a logistics network of organizations, people, information and resources supported byservice-oriented cyber-physical systems. Intelligent multimodal logistics network is an important node inthe worldwide logistics, involved in moving a product from supplier to customer or providing anaccompanying service. The paper presents a generic architecture scheme for LaaS, which is based onrepresenting elements of the logistics networks as services. In this environment, the role of anapplication ontology and integration of individual and organizational competences is investigated andthe use of ontology matching for finding suitable resources in a multi-lingual logistics network isdiscussed.

  • 7.
    Lin, Feiyu
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Butters, Jonathan
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Ciravegna, Fabio
    Context-based Ontology Matching: Concept and Application Cases2010In: 10th IEEE International Conference on Computer and Information Technology, CIT 2010, Bradford, West Yorkshire, UK, June               29-July 1, 2010, 2010, p. 1292-1298Conference paper (Refereed)
  • 8.
    Lin, Feiyu
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Henricsson, Christopher
    Abbas, Syed Muhammad
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    HyperCircle: An Efficient Broadcast Protocol for Super-Peer P2P Networks2009In: The 2009 IEEE/IFIP International Symposium on Embedded and Pervasive Systems (EPS09), Vancouver, Piscataway, N.J.: IEEE , 2009, p. 426-433Conference paper (Refereed)
  • 9.
    Lin, Feiyu
    et al.
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Neshnega, Lidetu Sahile
    Subba, Bikash
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    A Framework for Context Automatic Integration in Ubiquitous Computing2012Conference paper (Refereed)
  • 10.
    Lin, Feiyu
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    A New Expanding Tree Ontology Matching Method2007In: Proceedings of OTM 2007: 3rd International IFIP workshop on Semantic Web & Web Semantic (SWWS2007), 2007Conference paper (Refereed)
    Abstract [en]

    Due to an increased awareness of potential ontology applications in industry, public administration and academia, a growing number of ontologies are created by different organizations and individuals. Although these ontologies are developed for various application purposes and areas, they often contain overlapping information. In this context, it is necessary to find ways to integrate various ontologies and enable use of multiple ontologies. A number of concepts and approaches for ontology alignment and matching have been developed in this field. In this paper, we introduce our preliminary work on ontology matching using polygon-based similarity aggregation. The main ideas we contribute to the research field are (1) to aggregate the results of distance calculations between concepts in different ontologies by creating polygons for each ontology and (2) to compare the area of these polygons for deciding on similarity.

  • 11.
    Lin, Feiyu
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    A Survey of Exploiting WordNet in Ontology Matching2008In: International Federation for Information Processing Technical Committee on Artificial Intelligence: IFIP AI 2008 Milan, Italy, 7th-10th September 2008, 2008Conference paper (Refereed)
  • 12.
    Lin, Feiyu
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Polygon-Based Similarity Aggregation for Ontology Matching2007In: Frontiers of High Performance Computing and Networking ISPA 2007 Workshops: ISPA 2007 International Workshops SSDSN, UPWN, WISH, SGC, ParDMCom, HiPCoMB, and IST-AWSN Niagara Falls, Canada, August 28-September 1, 2007 Proceedings, Berlin: Springer , 2007, p. 255-264Conference paper (Other (popular science, discussion, etc.))
  • 13.
    Lin, Feiyu
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Towards Efficient Search in P2P Networks with 8-point Hypercircles2006In: IADIS International Conference WWW/Internet 2006, Murcia, Spain, October 2006, 2006Conference paper (Other scientific)
    Abstract [en]

    Scalability problems, network overload and unacceptably long search times are among the main problems when large scale peer-to-peer networks evolve in an uncontrolled manner. Using an 8-point hypercircle as main element, a graph topology is proposed allowing for efficient broadcasting and routing of the messages in the network. The construction and maintenance of the topology including the broadcast algorithm are introduced. The work in progress presented in this paper is inspired by work of Schlosser et. al. on HyperCubes.

  • 14.
    Lin, Feiyu
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Towards Polygon-Based Similarity Aggregation in Ontology Matching2007In: 4th International Conference on Web Information Systems and Technologies (WEBIST2007), Barcelona, Spain, 3-6 March, 2007, 2007Conference paper (Other academic)
  • 15.
    Lin, Feiyu
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    TOWARDS POLYGON-BASED SIMILARITY AGGREGATION IN ONTOLOGY MATCHING2007In: 3rd International Conference on Web Information Systems and Technologies (WEBIST 2007), 2007Conference paper (Other scientific)
    Abstract [en]

    Due to an increased awareness of potential ontology applications in industry, public administration and academia, a growing number of ontologies are created by different organizations and individuals. Although these ontologies are developed for various application purposes and areas, they often contain overlapping information. In this context, it is necessary to find ways to integrate various ontologies and enable use of multiple ontologies. A number of concepts and approaches for ontology alignment and matching have been developed in this field. In this paper, we introduce our preliminary work on ontology matching using polygon-based similarity aggregation. The main ideas we contribute to the research field are (1) to aggregate the results of distance calculations between concepts in different ontologies by creating polygons for each ontology and (2) to compare the area of these polygons for deciding on similarity.

  • 16.
    Lin, Feiyu
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    User-Based Constraint Strategy in Ontology Matching2008In: Ubiquitous Intelligence and Computing, 5th International Conference, UIC 2008: Oslo, Norway, June 23-25, 2008, Proceedings, Berlin: Springer , 2008, p. 687-696Conference paper (Refereed)
  • 17.
    Lin, Feiyu
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Xu, Shoukun
    Changzhou University, China.
    Context-based ontology matching: concept and application cases2012In: Journal of universal computer science (Online), ISSN 0948-695X, E-ISSN 0948-6968, Vol. 18, no 9, p. 1093-1111Article in journal (Refereed)
    Abstract [en]

    The Internet of Things (IoT) aims at linking smart objects that are relevantto the user and embedding intelligence into the environment. It is more and moreaccepted in the scientific community and expected by end users, that pervasive servicesshould be able to adapt to the circumstances or situation in which a computingtask takes place, and maybe even detect all relevant parameters for this purpose. Workpresented in this paper addresses the challenge of bringing together concepts and experiencesfrom two different areas: context modeling and ontology matching. Currentwork in the field of automatic ontology matching does not sufficiently take into accountthe context of the user during the matching process. The main contributions of thispaper are (1) the introduction of the concept of “context” in the ontology matchingprocess, (2) an approach for context-based semantic matching, which is building on different(weighted) levels of overlap for a better ranking of alignment elements dependingon user’s context, (3) an evaluation of the context-based matching in experiments andfrom user’s perspectives.

  • 18.
    Sandkuhl, Kurt
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Smirnov, Alexander
    St. Petersburg Institute for Informatics and Automation, RAS.
    Mazalov, Vladimir
    Institute of Applied Mathematical Research, KarRC RAS.
    Vdovitsyn, Vladimir
    Institute of Applied Mathematical Research, KarRC RAS.
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Krizhanovsky, Andrew
    St. Petersburg Institute for Informatics and Automation, RAS.
    Lin, Feiyu
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Ivashko, Evgeny
    Institute of Applied Mathematical Research, KarRC RAS.
    Context-Based Retrieval in Digital Libraries: Approach and Technological Framework2009In: Digital Libraries: Advanced Methods and Technologies, Digital Collections: Proceedings of the XIth All-Russian research conference RCDL'2009, Petorzavodsk, 2009, p. 151-157Conference paper (Other academic)
    Abstract [en]

    Digital libraries face similar challenges as enterprise information sources and the Internet: a fast growing amount of digital content requires enhanced ways of supporting information seeking. This paper presents an approach to context-based retrieval in Digital Libraries (DLs). The proposed approach includes creation of a profile representing general information demand of a user (abstract context), and use of ontology matching to identify the documents relevant to the operational context representing the current information demand of the user. A profile represents the user’s interests as a DL reader and after creation is dynamically updated based on the changes in the user’s interests. The identification of documents relevanсе is carried out by matching the user profile ontology against the digital library ontology. Semantic distance calculation is based on the use of a thesaurus.

1 - 18 of 18
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