| Siegfried Handschuh, Steffen Staab, and Fabio Ciravegna. S-cream - semi-automatic creation of metadata. In Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Springer Verlag, 2002. |
....53 that collects the annotations from multiple documents into a knowledge base on a server from which queries can be made. A recent extension of CREAM, called S CREAM (Semi automatic CREAM) automates annotation using Amilcare [Cir01] a wrapper induction and informationextraction system [HSC02] Amilcare uses a set of manually annotated documents and a learning algorithm to induce a wrapper that annotates documents by inserting XML tags around items to be annotated. A user maps Amilcare XML tags to ontology concepts, and the system automatically converts the XML annotations into RDF ....
S. Handschuh, S. Staab, and F. Ciravegna. S-CREAM --- semiautomatic CREAtion of metadata. In Proceedings of 13th International Conference on Knowledge Engineering and Knowledge Management (EKAW02), Siguenza, Spain, October 2002.
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S. Handschuh, S. Staab, and F. Ciravegna. S-CREAM - Semi-automatic CREAtion of Metadata. In Proceedings of the 13th International Conference on Know l edge Engineering and Knowledge Management, EKAW02. Springer Verlag, 2002.
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S. Handschuh, S. Staab, and F. Ciravegna. S-CREAM --- Semi-automatic CREAtion of Metadata. In Proceedings of EKAW 2002.
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S. Handschuh, S. Staab, and F. Ciravegna. S-CREAM - Semi-automatic CREAtion of Metadata. In Knowledge Engineering and Knowledge Management, EKAW02. Springer Verlag, 2002.
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S. Handschuh, S. Staab, and F. Ciravegna. S-CREAM --- Semi-automatic CREAtion of Metadata. In Proceedings of EKAW 2002.
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S. Handschuh, S. Staab, F. Ciravegna. S-CREAM -- Semi-automatic CREAtion of Metadata. In: Proc. of the European Conference on Knowledge Acquisition and Management -- EKAW-
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S. Handschuh, S. Staab, F. Ciravegna, S-CREAM---semiautomatic creation of metadata, in: Proceedings of the EKAW, LNCS, 2002, pp. 358--372.
.... authoring mode lets authors create metadata almost for free while putting together the content of a document [11] Semi automatic annotation: E#cient semi automatic annotation based on information extraction that is trained to handle structurally and or linguistically similar documents [13]. Deep annotation: Dynamic Web documents results in a semantic mapping to the underlying database if the database owner cooperates in the Semantic Web and allows for direct access to the database [14] In the following we wrap up several previous contributions ( 11, 13, 14] We start to ....
.... similar documents [13] Deep annotation: Dynamic Web documents results in a semantic mapping to the underlying database if the database owner cooperates in the Semantic Web and allows for direct access to the database [14] In the following we wrap up several previous contributions ([11, 13, 14]) We start to describe core requirements for semantic annotation. For a more concise description, we first define our terminology and give an example of the kind of metadata the generation of which we support by CREAM (Section 2) In Section 3 we derive the design of CREAM from the requirements ....
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S. Handschuh, S. Staab, and F. Ciravegna. S-CREAM --- Semi-automatic CREAtion of Metadata. In Proc. of EKAW02, LNCS/LNAI 2473, pages 358--372, Siguenza, Spain, October 2002. Springer.
....wide range application of Semantic Web technologies. The challenge is to learn ontologies in a (semi )automatic way [Maedche01] In the same way, the manual annotation of web pages does not scale up. Therefore, methods and tools are required that enable the (semi )automatic generation of metadata [Handschuh02]. The management of ontologies and related metadata also needs appropriate infrastructure and user support. The Karlsruhe Ontology Framework KAON [Ehrig02] cf. http: kaon.semanticweb.org) is a novel infrastructure that takes a holistic approach to ontology management and is targeted for ....
S. Handschuh, S. Staab, F. Ciravegna. S-CREAM - Semi-automatic CREAtion of Metadata. In: Proc. of the European Conference on Knowledge Acquisition and Management - EKAW-2002. Madrid, Spain, October 1-4, 2002. LNCS, Springer, 2002.
.... to the annotation of existing documents the authoring mode lets authors create metadata almost for free while putting together the content of a page [16] # The semi automatic annotation: The semi automatic annotation based on information extraction trainable for a specific domain [17]. # The deep annotation: The treatment of dynamic Web documents by annotation of the underlying database when the database owner is cooperatively participating in the Semantic Web [19] In the following we wrap up contributions to conference proceedings presented in [18, 16, 17, 19] In ....
.... for a specific domain [17] # The deep annotation: The treatment of dynamic Web documents by annotation of the underlying database when the database owner is cooperatively participating in the Semantic Web [19] In the following we wrap up contributions to conference proceedings presented in [18, 16, 17, 19]. In particular we describe first some requirements for annotation, explain our terminology in more detail, and give an example of metadata we want to create in Section 2. We derive in Section 3 the design of CREAM from the requirements elaborated before. In Section 4, we explain the major modes ....
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S. Handschuh, S. Staab, and F. Ciravegna. S-CREAM --- Semi-automatic CREAtion of Metadata. LNCS/LNAI 2473, pages 358--372, Siguenza, Spain, October 2002. Springer.
....One of the core challenges of Semantic Web applications such as the ones just described is the creation of metadata by mass collaboration, i.e. by combining semantic content created by a large number of people. To reach this objective several approaches have been conceived (e.g. CREAM [7] [9], MnM [22] or Mindswap http: www.mindswap.org) that deal with the manual and or the semi automatic creation of metadata from existing information. These approaches, however, as well as older ones that provide metadata, e.g. for search on digital libraries, build on the assumption that the ....
S. Handschuh, S. Staab, F. Ciravegna. S-CREAM --- Semi-automatic CREAtion of Metadata. In Proceedings of EKAW 2002.
....string lists in [20] from which the conceptual descriptions must be extracted, which is a non trivial task. In fact, we have integrated a wrapper learning method, vii. Amilcare [2] into our OntoMat Annotizer. How to bridge between wrapper construction and annotation is described in detail in [9]. 8.4 Annotation Finally, we need to consider annotation proper as part of deep annotation. There, we inherit the principal annotation mechanism for creating relational metadata as elaborated in [8] The interested reader finds an elaborate comparison of annotation techniques there as well as ....
S. Handschuh, S. Staab, and F. Ciravegna. S-CREAM Semi-automatic CREAtion of Metadata. In Proceedings of EKAW2002.
....domains in fairly unconstrained domains such as the Web is out of reach of the current technology. The association to domain specific ontology limits the domain and makes the application feasible. For example IE is currently used to reduce the annotation burden in some annotation tools [15][ 9][ 3] Most of this technology is based on supervised learning, i.e. they require user defined annotated corpora. When the task is complex and the documents to cope with present high variability in type (e.g. free texts are mixed with more or less rigidly structured pages) the amount of annotated ....
S. Handschuh, S. Staab, and F. Ciravegna. S-CREAM - Semi-automatic CREAtion of Metadata. In Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management, EKAW02. Springer Verlag, 2002.
....for metadata creation during web page authoring and a posteriori annotation. The objective is pursued by combining advanced mechanisms for inferencing, fact crawling, document management, meta ontology definitions, metadata re recognition, content generation, and (as explained in a companion paper [22]) information extraction. These components but the last are explained in the subsequent sections. 4 Relational Metadata We elaborate the terminology we use in our framework, because many of the terms that are used with regard to metadata creation tools carry several, ambiguous connotations that ....
.... structured pages (cf. e.g. 31] 3) Message extraction like systems may be used to recognize named entities, propose co reference, and extract some relationship from texts (cf. e.g. 35, 48] This component has been realized by using the Amilcare information extraction system (cf. [22])a, but it is not yet available in the download version of OntoMat. Meta Ontology: The purpose of the meta ontology is the separation of ontology design and use. It is specifically explained in Section 6. Besides the requirements that constitute single modules, one may identify functions that ....
[Article contains additional citation context not shown here]
S. Handschuh, S. Staab, and F. Ciravegna. S-CREAM Semi-automatic CREAtion of Metadata. In EKAW02, lSth International Conference on Knowledge Engineering and Knowledge Management, LNCS/LNAI 2473, pages 358 372, Sigfienza, Spain, October 2002. Springer.
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Siegfried Handschuh, Steffen Staab, and Fabio Ciravegna. S-cream - semi-automatic creation of metadata. In Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Springer Verlag, 2002.
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Handschuh, S., Staab, S., Ciravegna, F.: S-CREAM: Semi-automatic CREAtion of Metadata. In: Proc. 13th Int. Conference on Knowledge Engineering and Management. (2002) 358--372
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Siegfried Handschuh, Steffen Staab, and Fabio Ciravegna. S-CREAM -- Semi-automatic CREAtion of Metadata. Expert Update, Special Issue - Intelligent Services for The Knowledge Lifecycle, 2002.
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Handschuh, S., Staab, S., Ciravegna, F.: S-CREAM - Semi-automatic CREAtion of Metadata. In: Proc. EKAW-2002, LNCS, Springer, 2002.
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Handschuh, S., Staab, S., Ciravegna, F.: S-CREAM -- Semi Automatic Creation of Metadata. Semantic Authoring, Annotation and Markup Workshop, 15 European Conf. Artificial Intelligence, France, Lyon, 2002.
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S. Handschuh, S. Staab, and F. Ciravegna. S-CREAM --- Semi-automatic CREAtion of Metadata. In 13th International Conference on Knowledge Engineering and Knowledge Management (EKAW02), pages 358--372, Siguenza, Spain, 2002.
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