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31
A Scalable Framework for the Interoperation of Information Sources
- Stanford University
, 2001
"... . Resolving heterogeneity among information systems is a crucial problem if we wish to gain value from the many distributed resources available to us. Problems of heterogeneity in hardware, operating systems, and data structures have been widely addressed, but issues of diverse semantics have be ..."
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Cited by 25 (4 self)
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. Resolving heterogeneity among information systems is a crucial problem if we wish to gain value from the many distributed resources available to us. Problems of heterogeneity in hardware, operating systems, and data structures have been widely addressed, but issues of diverse semantics have been handled mainly in an ad-hoc fashion. In this paper, we present ONION, a system based a scalable approach to interoperation of information systems by articulating their associated ontologies. An articulation focuses on the semantically relevant intersection of information resources with respect to a type of application. However, ontologies obtained from diverse sources are represented using different conceptual models. We have designed a simple intermediate conceptual model - the ONION conceptual model - that we use to transform ontologies into before we generate semantic correspondences or articulations between them. In ONION, application-dependent articulation rules that capture the correspondence between concepts in different ontologies are established between source ontologies semi-automatically. Finally we present an ontology algebra, based on the articulation rules, for the composition of ontologies. 1
WebScripter: Grass-roots ontology alignment via end-user report creation
- In the Second International Semantic Web Conference, Octor
, 2003
"... Abstract. Ontologies define hierarchies of classes and attributes; they are meta-data: data about data. In the “traditional approach ” to ontology engineering, experts add new data by carefully analyzing others’ ontologies and fitting their new concepts into the existing hierarchy. In the emerging “ ..."
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Cited by 11 (1 self)
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Abstract. Ontologies define hierarchies of classes and attributes; they are meta-data: data about data. In the “traditional approach ” to ontology engineering, experts add new data by carefully analyzing others’ ontologies and fitting their new concepts into the existing hierarchy. In the emerging “Semantic Web approach”, ordinary users may not look at anyone’s ontology before creating theirs- instead, they may simply define a new local schema from scratch that addresses their immediate needs, without worrying if and how their data may some day integrate with others ’ data. This paper describes WebScripter, a tool for translating between the countless mini-ontologies that the “Semantic Web approach ” yields. In our approach, ordinary users graphically align data from multiple sources in a simple spreadsheet-like view without having to know anything about ontologies. The resulting web of equivalency statements is then mined by WebScripter to help users find related ontologies and data, and to automatically align the related data with their own.
WebScripter: World-Wide Grass-roots Ontology Translation via Implicit End-User Alignment
- In WWW-2002 Semantic Web Workshop
, 2002
"... Ontologies define hierarchies of classes and attributes; they are meta-data: data about data. XML Schema and RDF Schema are both (lightweight) ontology definition languages in that sense. In the "traditional" approach to ontology engineering, experts add new data by carefully analyzing oth ..."
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Cited by 7 (0 self)
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Ontologies define hierarchies of classes and attributes; they are meta-data: data about data. XML Schema and RDF Schema are both (lightweight) ontology definition languages in that sense. In the "traditional" approach to ontology engineering, experts add new data by carefully analyzing others' ontologies and fitting their new concepts into the existing hierarchy. In the emerging "Semantic Web" approach to ontology engineering, ordinary users may not look at anyone's ontology before creating theirs -- instead, they may simply define a new local schema from scratch that addresses their immediate needs, without worrying how their data may some day integrate with others'.
Bottom-Up Extraction and Trust-Based Refinement of Ontology Metadata
"... Abstract—We present a way of building ontologies that proceeds in a bottom-up fashion, defining concepts as clusters of concrete XML objects. Our rough bottom-up ontologies are based on simple relations like association and inheritance, as well as on value restrictions, and can be used to enrich and ..."
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Cited by 7 (4 self)
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Abstract—We present a way of building ontologies that proceeds in a bottom-up fashion, defining concepts as clusters of concrete XML objects. Our rough bottom-up ontologies are based on simple relations like association and inheritance, as well as on value restrictions, and can be used to enrich and update existing upper ontologies. Then, we show how automatically generated assertions based on our bottom-up ontologies can be associated with a flexible degree of trust by nonintrusively collecting user feedback in the form of implicit and explicit votes. Dynamic trust-based views on assertions automatically filter out imprecisions and substantially improve metadata quality in the long run. Index Terms—Semantic Web, bottom-up ontology, ad hoc conceptualization, metadata extraction and maintenance, fuzzy clustering techniques, trusted assertions. 1
Consensus Ontologies in Socially Interacting MultiAgent Systems
, 2007
"... This paper presents approaches for building, managing, and evaluating consensus ontologies from the individual ontologies of a network of socially interacting agents. Each agent has its own conceptualization of the world within the multiagent system framework. The interactions between agents are mod ..."
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Cited by 6 (3 self)
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This paper presents approaches for building, managing, and evaluating consensus ontologies from the individual ontologies of a network of socially interacting agents. Each agent has its own conceptualization of the world within the multiagent system framework. The interactions between agents are modeled by sending queries and receiving responses and later assessing each other’s performance based on the results. This model enables us to measure the quality of the societal beliefs in the resources which we represent as the expertise in each domain. The dynamic nature of our system allows us to model the emergence of consensus that mimics the evolution of language. We present an algorithm for generating the consensus ontologies which makes use of the authoritative agent’s conceptualization in a given domain. As the expertise of agents changes after a number of interactions, the consensus ontology that we build based on the agents ’ individual views evolves. The resulting approach is concordant with the principles of emergent semantics. We provide formal definitions for the problem of finding a consensus ontology in a step by step manner. We evaluate the consensus ontologies by using different heuristic measures of similarity based on the component ontologies. Conceptual processing methods for generating, manipulating, and evaluating consensus ontologies are given and experimental results are presented. The presented approach looks promising and opens new directions for further research. 1
RDFSculpt: Managing RDF Schemas under Set-like Semantics
- In Proceedings of the ESWC 05 International Conference, Heraklion
, 2005
"... Abstract. The Semantic Web is an extension of the current Web in which information is given well-defined meaning to support effective data discovery and integration. The RDF framework is a key issue for the Se-mantic Web. It can be used in resource discovery to provide better search engine capabilit ..."
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Cited by 5 (1 self)
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Abstract. The Semantic Web is an extension of the current Web in which information is given well-defined meaning to support effective data discovery and integration. The RDF framework is a key issue for the Se-mantic Web. It can be used in resource discovery to provide better search engine capabilities, in cataloging for describing the content of thematic hierarchies in thematic catalogs and digital libraries, in knowledge shar-ing and exchange of Web agents, etc. Up to now, RDF schemas have been treated rather as sets of individual elements (i.e. model primitives like classes, properties, etc.). Under that view, queries like “find the part of a portal catalog which is not present in another catalog ” can be answered only in a procedural way, specifying which nodes to select and how to get them. For this reason, we argue that answering such queries requires treating schemas as a whole rather than as sets of individual elements. We introduce a set of operators with set-like semantics to manage RDF schemas. The operators can be included in any RDF query language to support manipulation of RDF schemas as full-fledged objects. We also present RDFSculpt, a prototype system that implements our framework. 1
FONTE - Factorizing ONTology Engineering complexity
- International Conference On Knowledge Capture, ACM
, 2003
"... Because it is difficult to engineer a complex ontology with time, we here consider a method that allows for factorizing the complexity of the engineering process, FONTE (Factorizing ONTology Engineering complexity). FONTE divides the engineering task into building a time-less domain ontology and a t ..."
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Cited by 5 (2 self)
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Because it is difficult to engineer a complex ontology with time, we here consider a method that allows for factorizing the complexity of the engineering process, FONTE (Factorizing ONTology Engineering complexity). FONTE divides the engineering task into building a time-less domain ontology and a temporal theory independently from each other. FONTE provides an operator that assembles the two independently developed ontologies into the targeted ontology. We investigate the quality of the proposed operator by applying it to a practical case study, viz. the engineering of an ontology about researchers including temporal interactions.
Agent-based Ontology Mapping and Integration
- Towards Interoperability,’ Expert Systems
, 2008
"... towards interoperability ..."
Agent-based Ontology Mapping and Integration towards Interoperability
, 2008
"... Interoperability is an important issue in ontology research. In this paper, a novel agent-based framework for managing ontology in a dynamic environment is developed. The framework has several key characteristics such as flexibility and extensibility that differentiate this research from others. Bas ..."
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Cited by 3 (2 self)
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Interoperability is an important issue in ontology research. In this paper, a novel agent-based framework for managing ontology in a dynamic environment is developed. The framework has several key characteristics such as flexibility and extensibility that differentiate this research from others. Based on the proposed framework, ontology mapping and integration are investigated. It is believed that interontology processes like ontology mapping with logical semantics are foundations of ontology-based applications. Accordingly, several types of semantic relations are proposed and corresponding mapping mechanisms are developed. Based on mapping results, ontology integration is developed to provide abstract views for participating organisations in the presence of a variety of ontologies. A prototype is built to demonstrate the design and functionalities and is applied to beer ontologies. The prototype shows that the framework is not only flexible but also practical. All agents derived from the framework exhibit their behaviours as expected.
Semantic integration of disparate data sources in the cog project
- In Proceedings of the 6th International Conference on Enterprise Information Systems (ICEIS2004
, 2004
"... based on Semantic ..."
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