Bibster – A Semantics-Based Bibliographic Peer-to-Peer System

Haase, Peter; Broekstra, Jeen; Ehrig, Marc; Menken, Maarten; Mika, Peter; Olko, Mariusz; Plechawski, Michal; Pyszlak, Pawel; Schnizler, Björn; Siebes, Ronny; Staab, Steffen; Tempich, Christoph

doi:10.1007/978-3-540-30475-3_10

Cited by 76 publications

(3 citation statements)

References 13 publications

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“…Bibster [15] is a P2P system based on the JXTA [13] [12] platform. JXTA technology is a set of open protocols that allow any connected device on the network ranging from cell phones and wireless PDAs to PCs and servers to communicate and collaborate in a P2P manner.…”

Section: Bibstermentioning

confidence: 99%

“…Ideally, P2P systems must adapt the scenario of extending the schema from new sources due to the freedom for peers to join-in and withdrawal from the P2P community. In contrast to this project, mapping is done based on shared knowledge-based (such as ontology [14], semantic dictionary [2], concept hierarchy [15], mapping table [4]), instead of global or local schema of participated peers. The use of shared knowledge will enable all participated peers to communicate about domain of discourse without necessarily operating on a globally shared mediation [14].…”

Section: Piazzamentioning

confidence: 99%

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Multiple Views in Peer Data Management for E-Commerce Applications

Almourad¹,

Mohamed²,

Khalifa³

2014

IJC

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This document presents the required layout of papers to be submitted for publication in the “Computing” International journal. The abstract may not be longer than 150 words. Peer-to-peer (P2P) systems are revival paradigm for information sharing among distributed nodes in the network. A P2P network is a network that relies primarily on the computing power and bandwidth of the participants in the network rather than concentrating it in a relatively low number of servers. P2P software systems like Kazaa and Napster rank amongst the most popular software applications ever. Numerous web businesses and sites have promoted "peer to peer" technology as the future of Internet networking for E-commerce. Multiple views for data are created for mediating between data sources on the Semantic Web. Our goal is to support users’ different needs. This is due to the fact that different users have different needs for joining the P2P community and their requirements may change over time as new information become available. Hence the same information may participate in many different ways in multiple data sources’ mapping efforts. The idea of creating multiple data views has been adopted in federated database systems. However, it is not yet implemented in peer-to-peer systems. This is due to the lack of shared knowledge among peers. Moreover, it is not trivial task to create multiple data views in an unpredictable environment such as P2P. This work investigates the possibility to construct multiple data views in P2P environment. This will be achieved through the development of a tourism application framework. The described framework would benefit small businesses by participating in the P2P network without being forced to use compatible standard indexable-web data-bases provided by large corporations.

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Section: Bibstermentioning

confidence: 99%

Section: Piazzamentioning

confidence: 99%

Multiple Views in Peer Data Management for E-Commerce Applications

Almourad¹,

Mohamed²,

Khalifa³

2014

IJC

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“…To date, the advent of Peer‐to‐Peer (P2P) systems, grid computing and Web services has greatly facilitated pulling distributed and heterogeneous digital resources together, allowing for the efficient discovery of appropriate resources and the conduct of effective queries. For example, a large degree of scalability and autonomy can be achieved by applying P2P systems in digital libraries, such as sharing e‐learning or bibliographic metadata records in a P2P network (Nejdl et al , 2002; Haase et al , 2004) and harvesting metadata from a P2P network (Ahlborn et al , 2002) (extended OAI protocol (Lagoze and Sompel, 2002)). However, this approach suffers from the weakness that only a unique set of metadata schema is considered.…”

Section: Introductionmentioning

confidence: 99%

Rule‐based metadata interoperation in heterogeneous digital libraries

Ding

Sølvberg

2007

The Electronic Library

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PurposeThe purpose of this research is to describe a system to support querying across distributed digital libraries created in heterogeneous metadata schemas, without requiring the availability of a global schema.Design/methodology/approachThe advantages and weaknesses of ontology based applications were investigated and have justified the utility of inferential rules in expressing complex relations between metadata terms in different metadata schemas. A process for combining ontologies and rules for specifying complex relations between metadata schemas were designed. The process was collapsed into a set of working phases and provides examples to illustrate how to interrelate two similar bibliographic ontology fragments for further query reformulation.FindingsEquipping ontologies with inferencing power can help describe more complex relations between metadata terms. This approach is critical for properly interpreting queries from one ontology to another.Research limitations/implicationsA prototype system was built based on examples instead of practical experience.Practical implicationsThe approach assumes that relations between metadata sets, or ontologies in the approach, are provided by domain experts with/without ontology tools.Originality/valueA new approach has been proposed for facilitating heterogeneous metadata interoperation in digital libraries as a way of empowering ontologies with rich reasoning capabilities. The traditional approach assumes a global schema controlled by a central or virtual server to provide mapping between local and external metadata schemas. A more flexible and dynamic environment was studied, i.e. P2P‐based digital libraries, where peers may join and leave freely.

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Collaborative and Usage-Driven Evolution of Personal Ontologies

Haase

Hotho

Schmidt-Thieme³

et al. 2005

Lecture Notes in Computer Science

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Abstract. Large information repositories as digital libraries, online shops, etc. rely on a taxonomy of the objects under consideration to structure the vast contents and facilitate browsing and searching (e.g., ACM topic classification for computer science literature, Amazon product taxonomy, etc.). As in heterogenous communities users typically will use different parts of such an ontology with varying intensity, customization and personalization of the ontologies is desirable. Of particular interest for supporting users during the personalization are collaborative filtering systems which can produce personal recommendations by computing the similarity between own preferences and the one of other people. In this paper we adapt a collaborative filtering recommender system to assist users in the management and evolution of their personal ontology by providing detailed suggestions of ontology changes. Such a system has been implemented in the context of Bibster, a peer-to-peer based personal bibliography management tool. Finally, we report on an experiment with the Bibster community that shows the performance improvements over non-personalized recommendations.

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Bibster – A Semantics-Based Bibliographic Peer-to-Peer System

Cited by 76 publications

References 13 publications

Multiple Views in Peer Data Management for E-Commerce Applications

Multiple Views in Peer Data Management for E-Commerce Applications

Rule‐based metadata interoperation in heterogeneous digital libraries

Collaborative and Usage-Driven Evolution of Personal Ontologies

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