Deliverable D2.3.8v1 (WP2.3) proposes the dynamic ontology lifecycle schema and discusses its imp... more Deliverable D2.3.8v1 (WP2.3) proposes the dynamic ontology lifecycle schema and discusses its implementation. It provides concrete solutions to ontology development and evolution issues in highly dynamic and data-intensive environments. Particularly, it deals with proper placement of ontology learning, evaluation and negotiation methods and with integration of learned and collaborative ontologies in a novel way. The transfer possibilities of the framework are justified by elaborated application scenarios from the medicine domain.
ABSTRACT Fraudulent claims cost both the public and private sectors an enormous amount of money e... more ABSTRACT Fraudulent claims cost both the public and private sectors an enormous amount of money each year. The existence of data silos is considered one of the main barriers to cross-region, cross-department, and cross-domain data analysis that can detect abnormalities not easily seen when focusing on single data sources. An evident advantage of leveraging Linked Data and semantic technologies is the smooth integration of distributed data sets. This paper reports a proof-of-concept study in the benefit fraud detection area. We believe that the design considerations, study outcomes, and learnt lessons can help making decisions of how one should adopt semantic technologies in similar contexts.
The paper presents a novel ontology lifecycle scenario that explicitly takes the dynamics and dat... more The paper presents a novel ontology lifecycle scenario that explicitly takes the dynamics and data-intensiveness of the medical application domains into account. Changing and growing knowledge is handled by semi-automatic incorpora- tion of ontology learning results into a collaborative onto- logy development framework. This integration bases mainly on automatic negotiation of agreed alignments, inconsisten- cy resolution, ontology versioning system and support of natural language generation tools, which alleviate the end- user effort in the incorporation of new knowledge.
Abstract. EU-IST Network of Excellence (NoE) IST-2004-507482 KWEB Deliverable D2.3.8v1 (WP2.3) pr... more Abstract. EU-IST Network of Excellence (NoE) IST-2004-507482 KWEB Deliverable D2.3.8v1 (WP2.3) proposes the dynamic ontology lifecycle schema and discusses its implementation. It provides concrete solutions to ontology development and evolution issues in highly ...
Ontologies play an important role in inter-agent communication, by providing the definitions of t... more Ontologies play an important role in inter-agent communication, by providing the definitions of the vocabularies used by agents to describe the world [4]. An agent can use such a vocabulary to express its beliefs and actions, and so communicate about them. Ontologies contribute to semantic interoperability when agents are embedded in open, dynamic environments, such as the Web and its proposed extension, the Semantic Web [2]. However, in this type of environment there cannot be a single universally shared ontology that is ...
CMNA VI-Computational Models of Natural Argument, Aug 1, 2006
Abstract. When agents communicate they do not necessarily use the same vocabulary or ontology. Fo... more Abstract. When agents communicate they do not necessarily use the same vocabulary or ontology. For them to interact successfully they must find correspondences between the terms used in their ontologies. While many proposals for matching two agent ontologies have been presented in the literature, the resulting alignment may not be satisfactory to both agents and can become the object of further negotiation between them.
In open and dynamic environments, agents will usually differ in the domain ontologies they commit... more In open and dynamic environments, agents will usually differ in the domain ontologies they commit to and their perception of the world. The availability of Alignment Services that are able to provide correspondences between two ontologies is only a partial solution to achieving interoperability between agents, because any given candidate set of alignments is only suitable in certain contexts. For a given context, different agents might have different and inconsistent perspectives that reflect their differing interests and preferences on the ...
Deliverable D2.3.8v1 (WP2.3) proposes the dynamic ontology lifecycle schema and discusses its imp... more Deliverable D2.3.8v1 (WP2.3) proposes the dynamic ontology lifecycle schema and discusses its implementation. It provides concrete solutions to ontology development and evolution issues in highly dynamic and data-intensive environments. Particularly, it deals with proper placement of ontology learning, evaluation and negotiation methods and with integration of learned and collaborative ontologies in a novel way. The transfer possibilities of the framework are justified by elaborated application scenarios from the medicine domain.
ABSTRACT Fraudulent claims cost both the public and private sectors an enormous amount of money e... more ABSTRACT Fraudulent claims cost both the public and private sectors an enormous amount of money each year. The existence of data silos is considered one of the main barriers to cross-region, cross-department, and cross-domain data analysis that can detect abnormalities not easily seen when focusing on single data sources. An evident advantage of leveraging Linked Data and semantic technologies is the smooth integration of distributed data sets. This paper reports a proof-of-concept study in the benefit fraud detection area. We believe that the design considerations, study outcomes, and learnt lessons can help making decisions of how one should adopt semantic technologies in similar contexts.
The paper presents a novel ontology lifecycle scenario that explicitly takes the dynamics and dat... more The paper presents a novel ontology lifecycle scenario that explicitly takes the dynamics and data-intensiveness of the medical application domains into account. Changing and growing knowledge is handled by semi-automatic incorpora- tion of ontology learning results into a collaborative onto- logy development framework. This integration bases mainly on automatic negotiation of agreed alignments, inconsisten- cy resolution, ontology versioning system and support of natural language generation tools, which alleviate the end- user effort in the incorporation of new knowledge.
Abstract. EU-IST Network of Excellence (NoE) IST-2004-507482 KWEB Deliverable D2.3.8v1 (WP2.3) pr... more Abstract. EU-IST Network of Excellence (NoE) IST-2004-507482 KWEB Deliverable D2.3.8v1 (WP2.3) proposes the dynamic ontology lifecycle schema and discusses its implementation. It provides concrete solutions to ontology development and evolution issues in highly ...
Ontologies play an important role in inter-agent communication, by providing the definitions of t... more Ontologies play an important role in inter-agent communication, by providing the definitions of the vocabularies used by agents to describe the world [4]. An agent can use such a vocabulary to express its beliefs and actions, and so communicate about them. Ontologies contribute to semantic interoperability when agents are embedded in open, dynamic environments, such as the Web and its proposed extension, the Semantic Web [2]. However, in this type of environment there cannot be a single universally shared ontology that is ...
CMNA VI-Computational Models of Natural Argument, Aug 1, 2006
Abstract. When agents communicate they do not necessarily use the same vocabulary or ontology. Fo... more Abstract. When agents communicate they do not necessarily use the same vocabulary or ontology. For them to interact successfully they must find correspondences between the terms used in their ontologies. While many proposals for matching two agent ontologies have been presented in the literature, the resulting alignment may not be satisfactory to both agents and can become the object of further negotiation between them.
In open and dynamic environments, agents will usually differ in the domain ontologies they commit... more In open and dynamic environments, agents will usually differ in the domain ontologies they commit to and their perception of the world. The availability of Alignment Services that are able to provide correspondences between two ontologies is only a partial solution to achieving interoperability between agents, because any given candidate set of alignments is only suitable in certain contexts. For a given context, different agents might have different and inconsistent perspectives that reflect their differing interests and preferences on the ...
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