Framework for building ontology-based dynamic applications

Nikolov, Samuil; Antonov, Anatoliy

doi:10.1145/1839379.1839395

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…The expressions can contain string, date and enumerated types of attributes besides the numeric ones, demonstrated in the article. The development supports use of financial position lists and is a part of a framework for building ontology-based dynamic applications [7]. Actual participation of the user in the market is being simulated by the implemented system.…”

Section: Discussionmentioning

confidence: 99%

A constraint-based approach for analysing financial market operations

Nikolov

Antonov

2013

Proceedings of the 14th International Conference on Computer Systems and Technologies

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The article describes a framework for modelling and verification of constraint rules on operations with financial instruments. These constraints are applied on certain attributes of domains of financial objects. A methodology and implementation of automatic constraint analysis in two steps is presented. The first step involves preparation of constraints on specified domains and creation of formulas defining them. The other step consists in waiting for real time transactions and responding to them by alerting the user on newly occurred constraint violations. Computation reduction method is proposed. A satisfaction coefficient is calculated that aids the end user in taking consecutive actions on their portfolio. INTRODUCTIONModern financial markets are characterized by a rich variety of offered financial instruments and include many participants with competitive goals, which are achieved in highly dynamic market conditions. The financial instruments are often pooled in hierarchical structures (classification groups) like portfolios, sub-portfolios by country, currency, instrument type. The market participants must conform to regulatory rules specifying the distribution of the assets under their control in the separate classification groups. In many cases, the rules for asset allocation in the groups are alternative to each other and require decision making. Due to the high complexity of the regulatory rules, the market participants often make mistakes while operating on the highly dynamic markets and violate the rules about the distribution of the limited financial resources. Thus they impose high risk on the organizations or people whose money they are dealing with. This makes automatization of financial operation analysis in real time a priority. The market participant must make a decision about buying or selling of a certain position before the market trend changes. The dealer has to quickly simulate an operation on a position and make sure all the constraint rules are satisfied before executing the deal on the market. To ensure better experience for market participants and quickly identify constraint violations, formal specification of regulatory rules is required. These regulatory rules are different for each country and are based on local laws.The problems reviewed in the article are related to constraint programming [1]. The authors formally specify constraints using expressions and use constraint logic programming over finite domains. The expressions are processed by a production system program containing facts and rules. The proposed approach allows "What if..." simulations and flexibility in taking alternative decisions. This guarantees continuity and validity of market participants' actions. The analysis is performed in two steps. During the initial check of the constraints, facts representing domains are asserted and synthetic rules are generated from constraint specification by a special parsing rule. After firing, the new rules yield the required result. The described step in a real-life system involv...

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Section: Discussionmentioning

confidence: 99%

A constraint-based approach for analysing financial market operations

Nikolov

Antonov

2013

Proceedings of the 14th International Conference on Computer Systems and Technologies

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“…Ontology is a formal language that defines knowledge as resources, which can be easily shared over the web. Further, the ontology is capable of integrating heterogeneous information easily and provides the standard interface for software entity to access [10,31,32]. Daud et al developed an approach for learning a semantic representation underlying a user's interests using his/her personal search history [11].…”

Section: Related Workmentioning

confidence: 99%

Using Ontology-based BDI Agent to Dynamically Customize Workflow and Bind Semantic Web Service

Liu¹,

Chen²

2012

JSW

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As the Web gradually evolves into the semantic web, the World Wide Web consortium (W3C) recommends that web ontology language (OWL) be used to encode semantic information content over the Web. Semantic web is an essential infrastructure to enhance Web to obtain better integration of information and intelligent use of web resources. Moreover, a web service is annotated by web ontology language for service (OWL-S) to form a semantic web service that, however, is a static description. The OWL-S based semantic web services thus are reactively invoked by users. How to dynamically coordinate, composite, or discover the services is an important issue.

We use agent to proactively interpret the static OWL-S description. And, the Belief-Desire-Intention (BDI) model is applied to develop BDI agent. This work thus proposes a ontology-based BDI agent architecture, in which a BDI agent dynamically generates customized workflow, and binds semantic web services. The architecture includes four parts: 1) Application Ontology, which is description of a specialized domain, 2) Operation ontology, which is description of BDI agent, 3) Ontology-based BDI agent engines, which interpret corresponding operational ontology to dynamically generate workflows, and 4) Java agent development environment extension (JadeX) platform that our architecture is based on. Through JadeX, our BDI agent can dynamically bind semantic web services according to customized workflows

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Framework for building ontology-based dynamic applications

Cited by 2 publications

References 5 publications

A constraint-based approach for analysing financial market operations

A constraint-based approach for analysing financial market operations

Using Ontology-based BDI Agent to Dynamically Customize Workflow and Bind Semantic Web Service

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