The Experts below are selected from a list of 14748 Experts worldwide ranked by ideXlab platform
Amghar Youssef - One of the best experts on this subject based on the ideXlab platform.
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schema Matching for Document exchange a constraint based approach
Signal-Image Technology and Internet-Based Systems, 2006Co-Authors: Sana Sellami, Benharkat Aichanabila, Rami Rifaieh, Amghar YoussefAbstract:Information systems’ activities are increasingly becoming distributed. Many systems, therefore, need to exchange Documents in order to correctly perform a critical activity. Data stores on the originating and receiving systems rarely have identical structures. As a consequence, Document exchange commonly requires that the data be transformed from the originating site, to the Document exchange format, and again to the receiving site format. A growing number of Document exchange behavior creates new requirements, such as automatically Matching Document structure, simplifying user’s tasks in creating mappings, and automatically generating data transformation. In our work, we are interested in all these processes: Matching, mapping, and data transformation. We propose, in this paper, to extend the XML schema Matching used for Document exchange to cover constraints management. We show how the constraints improve the performance of schema Matching. We also propose XME (XML Mapping Expression) which is an expression model of mappings along with a collection of transformation operators. These extensions take part in our platform for Document exchange (ASMADE) that automates Matching and generates data transformation instances.
Sana Sellami - One of the best experts on this subject based on the ideXlab platform.
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schema Matching for Document exchange a constraint based approach
Signal-Image Technology and Internet-Based Systems, 2006Co-Authors: Sana Sellami, Benharkat Aichanabila, Rami Rifaieh, Amghar YoussefAbstract:Information systems’ activities are increasingly becoming distributed. Many systems, therefore, need to exchange Documents in order to correctly perform a critical activity. Data stores on the originating and receiving systems rarely have identical structures. As a consequence, Document exchange commonly requires that the data be transformed from the originating site, to the Document exchange format, and again to the receiving site format. A growing number of Document exchange behavior creates new requirements, such as automatically Matching Document structure, simplifying user’s tasks in creating mappings, and automatically generating data transformation. In our work, we are interested in all these processes: Matching, mapping, and data transformation. We propose, in this paper, to extend the XML schema Matching used for Document exchange to cover constraints management. We show how the constraints improve the performance of schema Matching. We also propose XME (XML Mapping Expression) which is an expression model of mappings along with a collection of transformation operators. These extensions take part in our platform for Document exchange (ASMADE) that automates Matching and generates data transformation instances.
Benharkat Aichanabila - One of the best experts on this subject based on the ideXlab platform.
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schema Matching for Document exchange a constraint based approach
Signal-Image Technology and Internet-Based Systems, 2006Co-Authors: Sana Sellami, Benharkat Aichanabila, Rami Rifaieh, Amghar YoussefAbstract:Information systems’ activities are increasingly becoming distributed. Many systems, therefore, need to exchange Documents in order to correctly perform a critical activity. Data stores on the originating and receiving systems rarely have identical structures. As a consequence, Document exchange commonly requires that the data be transformed from the originating site, to the Document exchange format, and again to the receiving site format. A growing number of Document exchange behavior creates new requirements, such as automatically Matching Document structure, simplifying user’s tasks in creating mappings, and automatically generating data transformation. In our work, we are interested in all these processes: Matching, mapping, and data transformation. We propose, in this paper, to extend the XML schema Matching used for Document exchange to cover constraints management. We show how the constraints improve the performance of schema Matching. We also propose XME (XML Mapping Expression) which is an expression model of mappings along with a collection of transformation operators. These extensions take part in our platform for Document exchange (ASMADE) that automates Matching and generates data transformation instances.
Rami Rifaieh - One of the best experts on this subject based on the ideXlab platform.
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schema Matching for Document exchange a constraint based approach
Signal-Image Technology and Internet-Based Systems, 2006Co-Authors: Sana Sellami, Benharkat Aichanabila, Rami Rifaieh, Amghar YoussefAbstract:Information systems’ activities are increasingly becoming distributed. Many systems, therefore, need to exchange Documents in order to correctly perform a critical activity. Data stores on the originating and receiving systems rarely have identical structures. As a consequence, Document exchange commonly requires that the data be transformed from the originating site, to the Document exchange format, and again to the receiving site format. A growing number of Document exchange behavior creates new requirements, such as automatically Matching Document structure, simplifying user’s tasks in creating mappings, and automatically generating data transformation. In our work, we are interested in all these processes: Matching, mapping, and data transformation. We propose, in this paper, to extend the XML schema Matching used for Document exchange to cover constraints management. We show how the constraints improve the performance of schema Matching. We also propose XME (XML Mapping Expression) which is an expression model of mappings along with a collection of transformation operators. These extensions take part in our platform for Document exchange (ASMADE) that automates Matching and generates data transformation instances.
Hinrich Schutze - One of the best experts on this subject based on the ideXlab platform.
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introduction to information retrieval scoring term weighting and the vector space model
2008Co-Authors: Christopher D Manning, Prabhakar Raghavan, Hinrich SchutzeAbstract:Thus far, we have dealt with indexes that support Boolean queries: A Document either matches or does not match a query. In the case of large Document collections, the resulting number of Matching Documents can far exceed the number a human user could possibly sift through. Accordingly, it is essential for a search engine to rank-order the Documents Matching a query. To do this, the search engine computes, for each Matching Document, a score with respect to the query at hand. In this chapter, we initiate the study of assigning a score to a (query, Document) pair. This chapter consists of three main ideas. We introduce parametric and zone indexes in Section 6.1, which serve two purposes. First, they allow us to index and retrieve Documents by metadata, such as the language in which a Document is written. Second, they give us a simple means for scoring (and thereby ranking) Documents in response to a query. Next, in Section 6.2 we develop the idea of weighting the importance of a term in a Document, based on the statistics of occurrence of the term. In Section 6.3, we show that by viewing each Document as a vector of such weights, we can compute a score between a query and each Document. This view is known as vector space scoring. Section 6.4 develops several variants of term-weighting for the vector space model. Chapter 7 develops computational aspects of vector space scoring and related topics.