A software framework for matchmaking based on semantic web technology

By Lei Li, Ian Horrocks. The Web Conference, 2003

1,064 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/076fda05e385ab83a1c9da14342bf14eb3a834be

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Citations in the corpus

OWLS-MX: A hybrid Semantic Web service matchmaker for OWL-S services (2009, background): “Prominent examples of monolithic logic-based matchmakers are RACER [13] and MaMaS 4 [14].”
Bringing Semantics to Web Services: The OWL-S Approach (2004, background): “Matching algorithms, such as described in [11] and [12], assume the availability of ontologies of functionalities to express capabilities.”
Bringing Semantics to Web Services with OWL-S (2007, methodology): “Matching algorithms such as the one described by Li and Horrocks [41] assume the availability of ontologies of functionalities to express capabilities.”
Composing Web services on the Semantic Web (2003, methodology): “Li and Horrocks [22] describe the design of a service matchmaker that uses DAML-S-based ontology.”
Taming the Infinite Chase: Query Answering under Expressive Relational Constraints (2008, neutral): “In databases, query containment is one of the important query optimization and schema integration techniques [1,12,16]; in knowledge representation, it has been used for object classification, schema integration, service discovery, and more, in particular in the area of description logics [6, 14 ].”
Automated discovery, interaction and composition of Semantic Web services (2003, neutral): “The use of intersection in [14,17]is problematic since it may overgeneralize.”
From SHIQ and RDF to OWL: the making of a Web Ontology Language (2003, background): “‐ in e-commerce [30], where they can facilitate communication between buying and selling agents by providing a common vocabulary to describe goods (such as pizzas) and services (see, e.g., http://www.verticalnet.com/); ‐ in search engines [31], where they can help in finding pages that contain seman”
Automated semantic web service discovery with OWLS-MX (2006, methodology): “Prominent examples of such logic-based only approaches to semantic service discovery are provided by the OWLS-UDDI matchmaker [16], RACER [11], MAMA [5], and the WSMO service discovery approach [20].”
Diagnosing Changes in An Ontology Stream: A DL Reasoning Approach (2012, background): “Given a signature, the top concept >, the bottom concept ⊥, an atomic concept A, an individual a, an atomic role r, EL++ concept expressions C and D can be composed with the following constructs: > | ⊥ | A |CuD | ∃r.C | {a} We slightly abuse the notion of atomic concepts to include >,⊥ and nominals ”