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

Haase, Peter; Schnizler, Björn; Broekstra, Jeen; Ehrig, Marc; Harmelen, Frank van; Menken, M.J.J.; Mika, Peter; Plechawski, Michal; Pyszlak, Pawel; Siebes, Ronny; Staab, Steeen; Tempich, Christoph

doi:10.2139/ssrn.3199166

Cited by 46 publications

(67 citation statements)

References 3 publications

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“…Many systems for semantic data retrieval in P2P networks are available, such as INGA [43], Bibster [17], GridVine [1] or S2P2P [4]. Though most of them are tailored to a specific domain such as bibliographic references in Bibster, after some reasonable modification efforts they could be used for semantic service search as well.…”

Section: Decentralized Searchmentioning

confidence: 99%

Semantic Web Service Search: A Brief Survey

et al. 2015

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Scalable means for the search of relevant web services are essential for the development of intelligent service-based applications in the future Internet. Key idea of semantic web services is to enable such applications to perform a high-precision search and automated composition of services based on formal ontology-based representations of service semantics. In this paper, we briefly survey the state of the art of semantic web service search. Abstract Scalable means for the search of relevant web services are essential for the development of intelligent service-based applications in the future Internet. Key idea of semantic web services is to enable such applications to perform a high-precision search and automated composition of services based on formal ontology-based representations of service semantics. In this paper, we briefly survey the state of the art of semantic web service search.

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Section: Decentralized Searchmentioning

confidence: 99%

Semantic Web Service Search: A Brief Survey

et al. 2015

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“…For evaluation purposes, though we use the SWAP infrastructure [10]. We recall that it provides all standard peer-to-peer functionality such as information sharing, searching and publishing of resources.…”

Section: Basic Building Blocks Of An Inga Peermentioning

confidence: 99%

Searching Dynamic Communities with Personal Indexes

Löser

Tempich²,

Quilitz

et al. 2005

The Semantic Web – ISWC 2005

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Abstract. Often the challenge of finding relevant information is reduced to find the 'right' people who will answer our question. In this paper we present innovative algorithms called INGA (Interest-based Node Grouping Algorithms) which integrate personal routing indices into semantic query processing to boost performance. Similar to social networks peers in INGA cooperate to efficiently route queries for documents along adaptive shortcut-based overlays using only local, but semantically well chosen information. We propose active and passive shortcut creation strategies for index building and a novel algorithm to select the most promising content providers depending on each peer index with respect to the individual query. We quantify the benefit of our indexing strategy by extensive performance experiments in the SWAP simulation infrastructure. While obtaining high recall values compared to other state-of-the-art algorithms, we show that INGA improves recall and reduces the number of messages significantly.

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“…On the other hand, the benefit of introducing the 'best match' notion has already been identified for several Semantic Web applications (e.g., [1,2,3]). For example, Bibster [3] allows to search for publications by topic and ranks results according to their similarity to the requested topic.…”

Section: Introductionmentioning

confidence: 99%

Querying the Semantic Web with Preferences

Siberski

Pan

Thaden

2006

Lecture Notes in Computer Science

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Abstract.Ranking is an important concept to avoid empty or overfull and unordered result sets. However, such scoring can only express total orders, which restricts its usefulness when several factors influence result relevance. A more flexible way to express relevance is the notion of preferences. Users state which kind of answers they 'prefer' by adding soft constraints to their queries.Current approaches in the Semantic Web offer only limited facilities for specification of scoring and result ordering. There is no common language element to express and formalize ranking and preferences. We present a comprehensive extension of SPARQL which directly supports the expression of preferences. This includes formal syntax and semantics of preference expressions for SPARQL. Additionally, we report our implementation of preference query processing, which is based on the ARQ query engine.

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

Cited by 46 publications

References 3 publications

Semantic Web Service Search: A Brief Survey

Semantic Web Service Search: A Brief Survey

Searching Dynamic Communities with Personal Indexes

Querying the Semantic Web with Preferences

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