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Interlinking educational resources and the web of data: A survey of challenges and approaches." Program: electronic library and information systems 47
, 2013
"... Abstract. Research in the area of technology-enhanced learning (TEL) throughout the last decade has largely focused on sharing and reusing educational resources and data. This effort has led to a fragmented landscape of competing metadata schemas, or interface mechanisms. More recently, semantic tec ..."
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Abstract. Research in the area of technology-enhanced learning (TEL) throughout the last decade has largely focused on sharing and reusing educational resources and data. This effort has led to a fragmented landscape of competing metadata schemas, or interface mechanisms. More recently, semantic technologies were taken into account to improve interoperability. However, so far Web-scale integration of resources is not facilitated, mainly due to the lack of take-up of shared principles, datasets and schemas. On the other hand, the Linked Data approach has emerged as the de facto standard for sharing data on the Web and is fundamentally based on established W3C standards (e.g. RDF, SPARQL). To this end, it is obvious that the application of Linked Data principles offers a large potential to solve interoperability issues in the field of TEL. In this paper, we survey approaches aimed towards our vision of Linked Education, i.e. education which exploits educational Web data. This particularly considers the exploitation of the wealth of already existing TEL data on the Web by allowing its exposure as Linked Data and by taking into
Semi-Automatically Mapping Structured Sources into the Semantic Web ⋆
"... Abstract. Linked data continues to grow at a rapid rate, but a limitation of a lot of the data that is being published is the lack of a semantic description. There are tools, such as D2R, that allow a user to quickly convert a database into RDF, but these tools do not provide a way to easily map the ..."
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Cited by 13 (5 self)
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Abstract. Linked data continues to grow at a rapid rate, but a limitation of a lot of the data that is being published is the lack of a semantic description. There are tools, such as D2R, that allow a user to quickly convert a database into RDF, but these tools do not provide a way to easily map the data into an existing ontology. This paper presents a semiautomatic approach to map structured sources to ontologies in order to build semantic descriptions (source models). Since the precise mapping is sometimes ambiguous, we also provide a graphical user interface that allows a user to interactively refine the models. The resulting source models can then be used to convert data into RDF with respect to a given ontology or to define a SPARQL end point that can be queried with respect to an ontology. We evaluated the overall approach on a variety of sources and show that it can be used to quickly build source models with minimal user interaction. 1
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- Mathematical Methods of Classical Mechanics Series: Graduate Texts in Mathematics
, 1974
"... We introduce a novel approach to extract semantic relations (e.g., is-a and part-of relations) fromWikipedia articles. These relations are used to build up a large and up-to-date thesaurus providing background knowledge for tasks such as determining semantic ontology mappings. Our automatic approach ..."
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Cited by 3 (1 self)
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We introduce a novel approach to extract semantic relations (e.g., is-a and part-of relations) fromWikipedia articles. These relations are used to build up a large and up-to-date thesaurus providing background knowledge for tasks such as determining semantic ontology mappings. Our automatic approach uses a comprehensive set of semantic pat-terns, finite state machines and NLP techniques to extract millions of relations between concepts. An evaluation for different domains shows the high quality and effectiveness of the proposed approach. We also illustrate the value of the newly found relations for improving existing ontology mappings.
Extracting Semantic Concept Relations from Wikipedia
"... Background knowledge as provided by repositories such as WordNet is of critical importance for linking or mapping ontologies and related tasks. Since current repositories are quite limited in their scope and currentness, we investigate how to automatically build up improved repositories by ex-tracti ..."
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Background knowledge as provided by repositories such as WordNet is of critical importance for linking or mapping ontologies and related tasks. Since current repositories are quite limited in their scope and currentness, we investigate how to automatically build up improved repositories by ex-tracting semantic relations (e.g., is-a and part-of relations) from Wikipedia articles. Our approach uses a comprehen-sive set of semantic patterns, finite state machines and NLP-techniques to process Wikipedia definitions and to identify semantic relations between concepts. Our approach is able to extract multiple relations from a single Wikipedia article. An evaluation for different domains shows the high quality and effectiveness of the proposed approach.
Visualization and editing of biomedical ontology alignments in AgreementMakerLight
"... ABSTRACT Biomedical ontologies pose interesting challenges to the visualization of ontology alignments due to their size and complexity. AgreementMakerLight (AML) is a lightweight ontology alignment system that is particularly suited to the alignment of biomedical ontologies. Here, we present the u ..."
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ABSTRACT Biomedical ontologies pose interesting challenges to the visualization of ontology alignments due to their size and complexity. AgreementMakerLight (AML) is a lightweight ontology alignment system that is particularly suited to the alignment of biomedical ontologies. Here, we present the updates and evolution of the AML graphical user interface, with a focus on alignment visualization and alignment editing.
Path-Based Semantic Annotation for Web Service Discovery
"... Abstract. Annotation paths are a new method for semantic annotation which overcomes the limited expressiveness of semantic annotations by concept references as defined in the SAWSDL standard. In this work we show some preliminary evaluation of the feasibility of annotation paths for web service disc ..."
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Abstract. Annotation paths are a new method for semantic annotation which overcomes the limited expressiveness of semantic annotations by concept references as defined in the SAWSDL standard. In this work we show some preliminary evaluation of the feasibility of annotation paths for web service discovery. The experiments suggest that annotation paths can capture the semantics of XML schemas and web service descriptions more precisely and appears as a promising approach for improving web service discovery.
