Case-based retrieval of software components*1

Fernández-Chamizo, Carmen

doi:10.1016/0957-4174(95)00012-x

Cited by 11 publications

(1 citation statement)

References 18 publications

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“…The first (chronologically) and the simplest techniques are text-based approaches [10,17,18,36]. Their primary use is to facilitate human-based service matching.…”

Section: Service Matchmaking Algorithmsmentioning

confidence: 99%

Recomposing an ontological representation of services to reduce its size

Rybicki

2013

KES

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Electronic devices provide all kinds of simple services: audio playback, photo and video capture, localization . . . etc. If able to interoperate with one another, they could provide new complex services unforeseen by their creators. In order to fully exploit the power of such a service-oriented approach in a pervasive computing environment, a technique of runtime ontology recomposition is proposed. Each service is described with concepts from a common ontology. At runtime, the descriptions present in an environment are merged into a runtime version of the ontology which is then used in resolving service queries. It is shown that by maintaining appropriate level of semantic richness, the recomposition does not impair the quality of service matchmaking and that the required richness level may be easily estimated from the original ontology. Also, a proof-of-concept implementation, running on Java-enabled mobile phones is presented.

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“…The first (chronologically) and the simplest techniques are text-based approaches [10,17,18,36]. Their primary use is to facilitate human-based service matching.…”

Section: Service Matchmaking Algorithmsmentioning

confidence: 99%

Recomposing an ontological representation of services to reduce its size

Rybicki

2013

KES

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Discovering Services: Towards High-Precision Service Retrieval

Bernstein¹,

Klein²

2002

Lecture Notes in Computer Science

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Towards High-Precision Service Retrieval

Bernstein

Klein

2002

The Semantic Web — ISWC 2002

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The ability to rapidly locate useful on-line services (e.g. software applications, software components, process models, or service organizations), as opposed to simply useful documents, is becoming increasingly critical in many domains. Current service retrieval technology is, however, notoriously prone to low precision. This paper describes a novel service retrieval approached based on the sophisticated use of process ontologies. Our preliminary evaluations suggest that this approach offers qualitatively higher retrieval precision than existing (keyword and table-based) approaches without sacrificing recall and computational tractability/scalability.

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Case-based retrieval of software components*1

Cited by 11 publications

References 18 publications

Recomposing an ontological representation of services to reduce its size

Recomposing an ontological representation of services to reduce its size

Discovering Services: Towards High-Precision Service Retrieval

Towards High-Precision Service Retrieval

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