This paper deals with efficient fuzzy query processing in a distributed database context. The idea suggested is to forward the query only to the data sources that are likely to provide "good answers" to the query, which entails to define a way to assess each source by means of a "compact" representation of its content. A solution based on fuzzy summaries is outlined, and different approaches to fuzzy summaries are presented and compared. The query/summary matching aspect is tackled for each of these approaches and a general processing strategy is described.
{"title":"Flexible Querying of Multiple Data Sources through Fuzzy Summaries","authors":"P. Bosc, A. Hadjali, Hélène Jaudoin, O. Pivert","doi":"10.1109/DEXA.2007.26","DOIUrl":"https://doi.org/10.1109/DEXA.2007.26","url":null,"abstract":"This paper deals with efficient fuzzy query processing in a distributed database context. The idea suggested is to forward the query only to the data sources that are likely to provide \"good answers\" to the query, which entails to define a way to assess each source by means of a \"compact\" representation of its content. A solution based on fuzzy summaries is outlined, and different approaches to fuzzy summaries are presented and compared. The query/summary matching aspect is tackled for each of these approaches and a general processing strategy is described.","PeriodicalId":314834,"journal":{"name":"18th International Workshop on Database and Expert Systems Applications (DEXA 2007)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115680607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper we propose a methodology to perform a comparison between a legal document and its related handwritten summary. We thus describe the algorithms that verify when a human-produced summary is consistent with its source document. We first analyze both documents in order to extract only the relevant information then we compare such information in order to obtain a measure of correlation indicating the consistence between the two documents. Eventually, we briefly report on the performance of these algorithms.
{"title":"A system for summary-document similarity in notary domain","authors":"C. Cesarano, A. Mazzeo, A. Picariello","doi":"10.1109/DEXA.2007.77","DOIUrl":"https://doi.org/10.1109/DEXA.2007.77","url":null,"abstract":"In this paper we propose a methodology to perform a comparison between a legal document and its related handwritten summary. We thus describe the algorithms that verify when a human-produced summary is consistent with its source document. We first analyze both documents in order to extract only the relevant information then we compare such information in order to obtain a measure of correlation indicating the consistence between the two documents. Eventually, we briefly report on the performance of these algorithms.","PeriodicalId":314834,"journal":{"name":"18th International Workshop on Database and Expert Systems Applications (DEXA 2007)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115984143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Multimedia data concern visual, audio, textual, information involving voice, gestures and others, so there are several challenges related to their storage and retrieval. Context awareness and personalization are key aspects to consider to manage any information-related content. In this paper we propose a general profiling model to define the user and context profiles in order to preserve and use their interrelationships. This general profiling model can be used to filter the user query in a more precise and selective way and to filter the multimedia contents in the repository that match the user query. In this paper the personalization relies on the combined use of the user profiles and context profiles, and the combination driving in particular the choice of the interaction mode in order to make relevant information available to people in the appropriate form.
{"title":"Information extraction based on personalization and contextualization models for multimodal data","authors":"M. Caschera, Arianna D’ulizia","doi":"10.1109/DEXA.2007.95","DOIUrl":"https://doi.org/10.1109/DEXA.2007.95","url":null,"abstract":"Multimedia data concern visual, audio, textual, information involving voice, gestures and others, so there are several challenges related to their storage and retrieval. Context awareness and personalization are key aspects to consider to manage any information-related content. In this paper we propose a general profiling model to define the user and context profiles in order to preserve and use their interrelationships. This general profiling model can be used to filter the user query in a more precise and selective way and to filter the multimedia contents in the repository that match the user query. In this paper the personalization relies on the combined use of the user profiles and context profiles, and the combination driving in particular the choice of the interaction mode in order to make relevant information available to people in the appropriate form.","PeriodicalId":314834,"journal":{"name":"18th International Workshop on Database and Expert Systems Applications (DEXA 2007)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124467206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Inductive databases can be viewed as a natural extension of traditional databases to contain not only persistent data but also the generalization of stored data, which are called patterns. The idea of inductive databases has been proposed originally as a support system for the knowledge discovery or data mining process. Many SQL-like languages have been designed and implemented to include mining operators in the SQL primitives. We percept the concept of inductive databases in a different angle. In stead of designing yet another inductive database system, we are looking for the deployment of an existing inductive query language and environment to support the database tasks. We focus on the task of query answering which has a high potential of being a beneficiary of the stored patterns in inductive databases. Our experimental results of query rewriting technique using induced patterns as a semantic knowledge confirm this advantage.
{"title":"Query Answering in Relational Inductive Databases","authors":"Kittisak Kerdprasop, Nittaya Kerdprasop, Apichai Ritthongchailert","doi":"10.1109/DEXA.2007.61","DOIUrl":"https://doi.org/10.1109/DEXA.2007.61","url":null,"abstract":"Inductive databases can be viewed as a natural extension of traditional databases to contain not only persistent data but also the generalization of stored data, which are called patterns. The idea of inductive databases has been proposed originally as a support system for the knowledge discovery or data mining process. Many SQL-like languages have been designed and implemented to include mining operators in the SQL primitives. We percept the concept of inductive databases in a different angle. In stead of designing yet another inductive database system, we are looking for the deployment of an existing inductive query language and environment to support the database tasks. We focus on the task of query answering which has a high potential of being a beneficiary of the stored patterns in inductive databases. Our experimental results of query rewriting technique using induced patterns as a semantic knowledge confirm this advantage.","PeriodicalId":314834,"journal":{"name":"18th International Workshop on Database and Expert Systems Applications (DEXA 2007)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125521686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents an ontology-based knowledge management system for indexing and retrieving information about a domain-specific corpus of resources in an industrial enterprise. From our ongoing project KoMIS (knowledge management for industrial safety), we introduce in this paper our approach to index the internal resources of an enterprise using two ontologies; a domain ontology that describes the terms of the studied domain (the industrial safety domain), and an application ontology that describes the various types of indexed resources. In our indexing approach, the resulting index is an RDF file that can be interrogated using one of the RDF query languages. An ontology-based information retrieval system is built as a Web application to help and guide users in their research for resources. Thanks to our indexing and retrieval model, the returned Web page of results is built dynamically so that each potential modification of the application ontology will be taken into account without affecting the internal structure of the information retrieval system.
{"title":"KoMIS: An Ontology-Based Knowledge Management System for Industrial Safety","authors":"A. A. Assali, D. Lenne, B. Debray","doi":"10.1109/DEXA.2007.34","DOIUrl":"https://doi.org/10.1109/DEXA.2007.34","url":null,"abstract":"This paper presents an ontology-based knowledge management system for indexing and retrieving information about a domain-specific corpus of resources in an industrial enterprise. From our ongoing project KoMIS (knowledge management for industrial safety), we introduce in this paper our approach to index the internal resources of an enterprise using two ontologies; a domain ontology that describes the terms of the studied domain (the industrial safety domain), and an application ontology that describes the various types of indexed resources. In our indexing approach, the resulting index is an RDF file that can be interrogated using one of the RDF query languages. An ontology-based information retrieval system is built as a Web application to help and guide users in their research for resources. Thanks to our indexing and retrieval model, the returned Web page of results is built dynamically so that each potential modification of the application ontology will be taken into account without affecting the internal structure of the information retrieval system.","PeriodicalId":314834,"journal":{"name":"18th International Workshop on Database and Expert Systems Applications (DEXA 2007)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123326458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The choices made by user in processing a set of documents is related, in a broad sense, to the sum of influences coming from the documents in the user situation, which does not include only physical or technical context parameters, but also the user goal and a set of personal components related to the user goal and to the effect on the user of the document. We use the term situated document to denote such influence. In this paper we propose a model for situated documents and propose a functional architecture for their management.
{"title":"Situated Multimodal Documents","authors":"A. Celentano, Fabio Pittarello","doi":"10.1109/DEXA.2007.87","DOIUrl":"https://doi.org/10.1109/DEXA.2007.87","url":null,"abstract":"The choices made by user in processing a set of documents is related, in a broad sense, to the sum of influences coming from the documents in the user situation, which does not include only physical or technical context parameters, but also the user goal and a set of personal components related to the user goal and to the effect on the user of the document. We use the term situated document to denote such influence. In this paper we propose a model for situated documents and propose a functional architecture for their management.","PeriodicalId":314834,"journal":{"name":"18th International Workshop on Database and Expert Systems Applications (DEXA 2007)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124513620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alexandra Galatescu, Cristian Neicu, Taisia Greceanu
In this paper, we introduce a new approach for aligning OWL-Lite ontologies. The main originality of the alignment method stands in the fact that it palliates the main drawbacks appearing in the literature approaches, i.e., problem of user-parameter settings. Carried out experimental results pointed out a sharp improvement in the precision and recall evaluation metrics.
{"title":"Framework for Ontology-centered Modeling and Integration of Services in Web-based Processes","authors":"Alexandra Galatescu, Cristian Neicu, Taisia Greceanu","doi":"10.1109/DEXA.2007.12","DOIUrl":"https://doi.org/10.1109/DEXA.2007.12","url":null,"abstract":"In this paper, we introduce a new approach for aligning OWL-Lite ontologies. The main originality of the alignment method stands in the fact that it palliates the main drawbacks appearing in the literature approaches, i.e., problem of user-parameter settings. Carried out experimental results pointed out a sharp improvement in the precision and recall evaluation metrics.","PeriodicalId":314834,"journal":{"name":"18th International Workshop on Database and Expert Systems Applications (DEXA 2007)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116876067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The quantity of generated information we store and need to access is colossal. Security of this information is becoming an issue of greater importance as the techniques and granularity with which it can be accessed become more advanced. Availability of information is a key component of any security system, although the information must be protected, it must also be available to the people who need it as and when they request it. However, increasing the methods by which it is accessable automatically increases the chance it may be compromised. Security systems are now using advanced levels of encryption, digital signatures containing biometric data and highly complex access control policies. We are proposing an access control system which reduces the complexity involved in defining authorisation permissions, particularly in structured documents such as XML where the user may be granted restricted access. Our solution employs techniques usually reserved for intelligent systems and the semantic web.
{"title":"Using Description Logic and Rules to Determine XML Access Control","authors":"Brian Shields, O. Molloy","doi":"10.1109/DEXA.2007.141","DOIUrl":"https://doi.org/10.1109/DEXA.2007.141","url":null,"abstract":"The quantity of generated information we store and need to access is colossal. Security of this information is becoming an issue of greater importance as the techniques and granularity with which it can be accessed become more advanced. Availability of information is a key component of any security system, although the information must be protected, it must also be available to the people who need it as and when they request it. However, increasing the methods by which it is accessable automatically increases the chance it may be compromised. Security systems are now using advanced levels of encryption, digital signatures containing biometric data and highly complex access control policies. We are proposing an access control system which reduces the complexity involved in defining authorisation permissions, particularly in structured documents such as XML where the user may be granted restricted access. Our solution employs techniques usually reserved for intelligent systems and the semantic web.","PeriodicalId":314834,"journal":{"name":"18th International Workshop on Database and Expert Systems Applications (DEXA 2007)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116538057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We describe a novel data mining procedure to discover relevant associations in multidimensional data. The procedure applies hierarchical clustering to distinct pattern sets(views) of the same dataset and identifies the best partitions in the two dendrograms that exhibit the greatest correlation.Finally the most relevant associations between pattern sets characterizing the most correlated clusters in the identified partitions are discovered. An application of the procedure to identify association between compositional views and performance views of a dataset of materials is discussed.
{"title":"Mining Multidimensional Data Using Clustering Techniques","authors":"M. Pagani, Gloria Bordogna, M. Valle","doi":"10.1109/DEXA.2007.112","DOIUrl":"https://doi.org/10.1109/DEXA.2007.112","url":null,"abstract":"We describe a novel data mining procedure to discover relevant associations in multidimensional data. The procedure applies hierarchical clustering to distinct pattern sets(views) of the same dataset and identifies the best partitions in the two dendrograms that exhibit the greatest correlation.Finally the most relevant associations between pattern sets characterizing the most correlated clusters in the identified partitions are discovered. An application of the procedure to identify association between compositional views and performance views of a dataset of materials is discussed.","PeriodicalId":314834,"journal":{"name":"18th International Workshop on Database and Expert Systems Applications (DEXA 2007)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121905528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Automatic semantic propagation is an important technique to complete the image retrieval process which is provided to increase accuracy, speed and performance of image retrieval systems and also to decrease human expenses. In this paper, an automatic approach to propagate the semantics in the image data base is presented. The proposed approach provides a suitable framework for semantic propagation without user's interference at two different levels including local level and global level at the offline mode. This method propagates the related semantics of the image to its similar images based on visual similarity and semantic relations and also, updates the semantic relations between images and the semantic network. Evaluating results of our system provide the acceptable accuracy for semantic image retrieval after doing the automatic semantic propagation process.
{"title":"A New Scheme of Automatic Semantic Propagation in the Image Data base Using a Hierarchical Structure of Semantics","authors":"M. Keyvanpour, S. Asbaghi, M. Fathy","doi":"10.1109/DEXA.2007.72","DOIUrl":"https://doi.org/10.1109/DEXA.2007.72","url":null,"abstract":"Automatic semantic propagation is an important technique to complete the image retrieval process which is provided to increase accuracy, speed and performance of image retrieval systems and also to decrease human expenses. In this paper, an automatic approach to propagate the semantics in the image data base is presented. The proposed approach provides a suitable framework for semantic propagation without user's interference at two different levels including local level and global level at the offline mode. This method propagates the related semantics of the image to its similar images based on visual similarity and semantic relations and also, updates the semantic relations between images and the semantic network. Evaluating results of our system provide the acceptable accuracy for semantic image retrieval after doing the automatic semantic propagation process.","PeriodicalId":314834,"journal":{"name":"18th International Workshop on Database and Expert Systems Applications (DEXA 2007)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122036646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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