Context mediation on Wall Street

Moulton, Allen; Madnick, Stuart E.; Siegel, Michael

doi:10.1109/coopis.1998.706228

Cited by 15 publications

(7 citation statements)

References 11 publications

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“…Hence methods for schema matching should take into account a certain level of uncertainty. Current research into heterogeneous databases is, however, largely geared toward deterministic semantic resolution [4,29,36,50,54], which may not effectively scale in computational environments that require rapid response in dynamically changing schemata. In addition, schema descriptions differ significantly among different domains.Accordingly, it is often said that the next main challenge in the semantic matching arena is the creation of a generalized set of automatic matching algorithms.…”

Section: Heterogeneous Databasesmentioning

confidence: 99%

A framework for modeling and evaluating automatic semantic reconciliation

et al. 2005

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Abstract. The introduction of the Semantic Web vision and the shift toward machine understandable Web resources has unearthed the importance of automatic semantic reconciliation. Consequently, new tools for automating the process were proposed. In this work we present a formal model of semantic reconciliation and analyze in a systematic manner the properties of the process outcome, primarily the inherent uncertainty of the matching process and how it reflects on the resulting mappings. An important feature of this research is the identification and analysis of factors that impact the effectiveness of algorithms for automatic semantic reconciliation, leading, it is hoped, to the design of better algorithms by reducing the uncertainty of existing algorithms. Against this background we empirically study the aptitude of two algorithms to correctly match concepts. This research is both timely and practical in light of recent attempts to develop and utilize methods for automatic semantic reconciliation.

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Section: Heterogeneous Databasesmentioning

confidence: 99%

A framework for modeling and evaluating automatic semantic reconciliation

et al. 2005

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“…3,4]. The evolving ISO TC68/SC4/WG10 [13], securities industry standards may partially solve the interoperability problem, and should also provide detailed substantive information models for building ontologies and context models for remaiing information interchange requirements [10,11].…”

Section: Resultsmentioning

confidence: 99%

“…Fixed income portfolio managers may need to draw on external sources for data about security characteristics, for market valuation information, and for models and calculations [11]. All these sources may need to be combined with internal portfolio holdings data and accessed through a decision support application system (see Figure 2).…”

Section: Portfolio Manager Requirementsmentioning

confidence: 99%

Semantic Interoperability in the Fixed Income Securities Industry: A Knowledge Representation Architecture for Dynamic Integration of Web-Based Information

2003

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“…In the fixed income securities industry, portfolio managers may need to draw upon external sources for data about security characteristics, for market valuation information, and for models and calculations [6]. All these sources may need to be combined with internal portfolio holdings data and accessed through a decision support application system (Fig.…”

Section: Fixed Income Securities Examplesmentioning

confidence: 99%