Dr. Maria Vargas-Vera
Research interests
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InterestsNatural Language Processing, Semantic Technologies, Semantic Web, Ontology, Knowledge Representation, Knowledge-Based Systems, Knowledge Discovery, Knowledge Engineering, Knowledge Acquisition, Machine Learning, Knowledge Management
Publications
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Multiagent Ontology Mapping Framework for the Semantic Web.
IEEE Transactions on Systems, Man, and Cybernetics, Part A. 01/2011; 41:693-704.
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Towards an Automatic Semantic Data Integration: Multi-agent Framework Approach
01/2010;
ISBN: 978-953-7619-54-1
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Multi-agent Voting for Conflict Resolution - A Fuzzy Approach.
ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1 - Artificial Intelligence, Valencia, Spain, January 22-24, 2010; 01/2010
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Deepthink: A Second Life Environment for Part-time Research Students at a Distance.
ICALT 2010, 10th IEEE International Conference on Advanced Learning Technologies, Sousse, Tunesia, 5-7 July 2010; 01/2010
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DSSim Results for OAEI 2009.
Proceedings of the 4th International Workshop on Ontology Matching (OM-2009) collocated with the 8th International Semantic Web Conference (ISWC-2009) Chantilly, USA, October 25, 2009; 01/2009
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Experimental Evaluation of Multi-Agent Ontology Mapping Framework.
Artificial Intelligence Applications and Innovations III, Proceedings of the 5TH IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI'2009), April 23-25, 2009, Thessaloniki, Greece; 01/2009
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DSSim Results for OAEI 2008.
Proceedings of the 3rd International Workshop on Ontology Matching (OM-2008) Collocated with the 7th International Semantic Web Conference (ISWC-2008), Karlsruhe, Germany, October 26, 2008; 01/2008
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Supporting Ontology Driven Document Enrichment within Communities of Practice
11/2001;
Formative work by Lave and Wenger has articulated how practices emerge through the interplay of informal processes with symbolic codifications and artifacts. In this paper, we describe how ontologies can serve as symbolic tools within a community of practice supporting communication and knowledge sh... [more] Formative work by Lave and Wenger has articulated how practices emerge through the interplay of informal processes with symbolic codifications and artifacts. In this paper, we describe how ontologies can serve as symbolic tools within a community of practice supporting communication and knowledge sharing. We show that when a community's perspective on an issue is stable, it opens the possibility for introducing knowledge services, based on an ontology co-constructed by knowledge engineers with stakeholders. Using a case study we describe our approach, ontology driven document enrichment, looking at how ontology construction and population can be supported by web based technologies.
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Unknown
11/2001;
Nowadays, many distinct communities are researching on technologies for knowledge capturing, modelling, and navigation. Moreover, advances in Internet technology makes it possible to perform most of these tasks on heterogeneous and distributed environments such as the Web. These advances though, hav... [more] Nowadays, many distinct communities are researching on technologies for knowledge capturing, modelling, and navigation. Moreover, advances in Internet technology makes it possible to perform most of these tasks on heterogeneous and distributed environments such as the Web. These advances though, have raise the need for knowledge services to accommodate the ever increasing number of Web users. To provide such a service one needs to combine key technologies for different aspects of knowledge management: capturing, modelling, navigating. This should be tightly integrated with the intended service. We describe such an integration effort in this paper. Our domain is a Web-based news repository and we aimed to provide personalised ontology-driven services on the top of it. We used knowledge capturing technologies to populate the underlying ontologies, knowledge modelling techniques to provide reasoning capabilities for the ontology-driven service, and navigating technologies to overlay Web-pages with the ontology-driven service.
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: an ontology-driven Web-based personalized news service
07/2001;
In this paper we present myPlanet, an ontologydriven personalised Web-based service. We extended the existing infrastructure of the PlanetOnto news publishing system. Our concerns were mainly to provide lightweight means for ontology maintenance and ease the access to repositories of news items, a r... [more] In this paper we present myPlanet, an ontologydriven personalised Web-based service. We extended the existing infrastructure of the PlanetOnto news publishing system. Our concerns were mainly to provide lightweight means for ontology maintenance and ease the access to repositories of news items, a rich resource for information sharing. We reason about the information being shared by providing an ontology-driven interest-profiling tool which enable users to specify their interests. We also developed ontology-driven heuristics to find news items related to users' interests. This paper argues for the role of ontology-driven personalised Web-based services in information sharing. 1
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On the Integration of Technologies for Capturing and Navigating Knowledge With Ontology-Driven Services
06/2001;
Nowadays, many distinct communities are researching on technologies for knowledge capturing, modelling, and navigation. Moreover, advances in Internet technology makes it possible to perform most of these tasks on heterogeneous and distributed environments such as the Web. These advances though, hav... [more] Nowadays, many distinct communities are researching on technologies for knowledge capturing, modelling, and navigation. Moreover, advances in Internet technology makes it possible to perform most of these tasks on heterogeneous and distributed environments such as the Web. These advances though, have raise the need for knowledge services to accommodate the ever increasing number of Web users. To provide such a service one needs to combine key technologies for different aspects of knowledge management: capturing, modelling, navigating. This should be tightly integrated with the intended service. We describe such an integration effort in this paper. Our domain is a Web-based news repository and we aimed to provide personalised ontology-driven services on the top of it. We used knowledge capturing technologies to populate the underlying ontologies, knowledge modelling techniques to provide reasoning capabilities for the ontology-driven service, and navigating technologies to overlay Web-pages with the ontology-driven service. Keywords Knowledge capture, ontology-driven services, knowledge navigation 1.
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myPlanet: an ontology-driven Web-based personalised news service
05/2001;
In this paper we present myPlanet, an ontologydriven personalised Web-based service. We extended the existing infrastructure of the PlanetOnto news publishing system. Our concerns were mainly to provide lightweight means for ontology maintenance and ease the access to repositories of news items, a r... [more] In this paper we present myPlanet, an ontologydriven personalised Web-based service. We extended the existing infrastructure of the PlanetOnto news publishing system. Our concerns were mainly to provide lightweight means for ontology maintenance and ease the access to repositories of news items, a rich resource for information sharing.
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myPlanet: An Ontology-Driven WebBased Personalized News Service
05/2001;
In this paper we present myPlanet, an ontologydriven personalised Web-based service. We extended the existing infrastructure of the PlanetOnto news publishing system. Our concerns were mainly to provide lightweight means for ontology maintenance and ease the access to repositories of news items, a r... [more] In this paper we present myPlanet, an ontologydriven personalised Web-based service. We extended the existing infrastructure of the PlanetOnto news publishing system. Our concerns were mainly to provide lightweight means for ontology maintenance and ease the access to repositories of news items, a rich resource for information sharing. We reason about the information being shared by providing an ontology-driven interest-profiling tool which enable users to specify their interests. We also developed ontology-driven heuristics to find news items related to users' interests. This paper argues for the role of ontology-driven personalised Web-based services in information sharing. 1
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Genre analysis and the automated extraction of arguments from student essays
This is a conference paper.
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Template-driven information extraction for populating ontologies
We address the integration of information extraction(IE) and ontologies. In particular, using an ontology to aid the IE process, and using the IE results to help populate the ontology. We perform IE by means of domain specific templates and the lightweight use of Natural Language Processing(NLP) tec... [more] We address the integration of information extraction(IE) and ontologies. In particular, using an ontology to aid the IE process, and using the IE results to help populate the ontology. We perform IE by means of domain specific templates and the lightweight use of Natural Language Processing(NLP) techniques. Our main goal is to learn information from texts by the use of templates and in this way to alleviate the main bottleneck in creating knowledge-base systems that is "the extraction of knowledge". Our domain of study is "KMi Planet", a Web-based news server for communication of stories between members in our institute. The main goals of our system are to classify an incoming story, obtain the relevant objects within the story, deduce the relationships between them, and to populate the ontology. Furthermore, we aim to do this with minimal help from the user.
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Multi-agent conflict resolution with trust for ontology mapping
Software agents that operate on the Semantic Web have to deal with scenarios where the discovery and combination of the relevant information from a variety of heterogeneous sources becomes contradicting. One such application area of the Semantic Web is ontology mapping where different similarities h... [more] Software agents that operate on the Semantic Web have to deal with scenarios where the discovery and combination of the relevant information from a variety of heterogeneous sources becomes contradicting. One such application area of the Semantic Web is ontology mapping where different similarities have to be combined into a more reliable and coherent view, which might easily become unreliable if trust is not managed effectively between the different sources. In this paper we propose a solution for managing trust between contradicting beliefs in similarities for ontology mapping based on the fuzzy voting model.
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AQUA - Ontology-based question answering system
This paper describes AQUA, an experimental question answering system. AQUA combines Natural Language Processing (NLP), Ontologies, Logic, and Information Retrieval technologies in a uniform framework. AQUA makes intensive use of an ontology in several parts of the question answering system. The onto... [more] This paper describes AQUA, an experimental question answering system. AQUA combines Natural Language Processing (NLP), Ontologies, Logic, and Information Retrieval technologies in a uniform framework. AQUA makes intensive use of an ontology in several parts of the question answering system. The ontology is used in the refinement of the initial query, the reasoning process, and in the novel similarity algorithm. The similarity algorithm, is a key feature of AQUA. It is used to find similarities between relations used in the translated query and relations in the ontological structures.
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MnM: semi-automatic ontology population from text
Ontologies can play a very important role in information systems. They can support various information system processes, particularly information acquisition and integration. Ontologies themselves need to be designed, built and maintained. An important part of the ontology engineering cycle is the a... [more] Ontologies can play a very important role in information systems. They can support various information system processes, particularly information acquisition and integration. Ontologies themselves need to be designed, built and maintained. An important part of the ontology engineering cycle is the ability to keep a handcrafted ontology up to date. Therefore, we have developed a tool called MnM that helps during the ontology maintenance process. MnM extracts information from texts and populates an ontology. It uses NLP (Natural Language Processing), Information Extraction and Machine Learning technologies. In particular, MnM was tested using an electronic newsletter consisting of news articles describing events happening in the Knowledge Media Institute (KMi). MnM could constitute an important part of an ontology-driven information system, with its integrated web-based ontology editor and provision of open APIs to link to ontology servers and to integrate with information extraction tools.
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Multi agent ontology mapping framework in the AQUA question answering system
This paper describes an ontology-mapping framework in the context of query answering (QA). In order to incorporate uncertainty inherent to the mapping process, the system uses the Dempster-Shafer model for dealing with incomplete and uncertain information produced during the mapping. A novel approac... [more] This paper describes an ontology-mapping framework in the context of query answering (QA). In order to incorporate uncertainty inherent to the mapping process, the system uses the Dempster-Shafer model for dealing with incomplete and uncertain information produced during the mapping. A novel approach is presented how specialized agents with partial local knowledge of the particular domain achieve ontology mapping without creating global or reference ontology. Our approach is particularly fit for a query-answering scenario, where an answer needs to be created in real time that satisfies the query posed by the user.
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Uncertainty handling in the context of ontology mapping for question answering
This paper describes a framework for integrating similarity measures and Dempster-Shafer belief functions for data integration in the context of multi agent ontology mapping. In order to incorporate uncertainty inherent to the ontology mapping process, we propose utilizing the Dempster-Shafer model ... [more] This paper describes a framework for integrating similarity measures and Dempster-Shafer belief functions for data integration in the context of multi agent ontology mapping. In order to incorporate uncertainty inherent to the ontology mapping process, we propose utilizing the Dempster-Shafer model for dealing with incomplete and uncertain information produced during the mapping. A novel approach is presented how assessing belief can influence the similarities originally created by both syntactic and semantic similarity algorithms. Our approach is an alternative to the classical Bayesian reasoning which has been investigated for improving the efficiency of creating ontology mappings.
