Entity Name System: The Back-Bone of an Open and Scalable Web of Data

Bouquet, Paolo; Stoermer, Heiko; Niederée, Claudia; Maa, A.

doi:10.1109/icsc.2008.37

Cited by 40 publications

(33 citation statements)

References 6 publications

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“…The examples provided above, show one aspect of data interoperability, namely the recognition that two different labels represent the same object. This is in the general case an extremely difficult problem which is under active research [1], though in many cases it can receive a simple pragmatic solution by forcing the existence of a shared dictionary. But the semantic interoperability problem goes beyond the recognition that two labels refer to the same entity.…”

Section: Data Heterogeneitymentioning

confidence: 99%

Interoperability in Complex Distributed Systems

Blair

Paolucci

Grace

et al. 2011

Lecture Notes in Computer Science

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Abstract. Distributed systems are becoming more complex in terms of both the level of heterogeneity encountered coupled with a high level of dynamism of such systems. Taken together, this makes it very difficult to achieve the crucial property of interoperability that is enabling two arbitrary systems to work together relying only on their declared service specification. This chapter examines this issue of interoperability in considerable detail, looking initially at the problem space, and in particular the key barriers to interoperability, and then moving on to the solution space, focusing on research in the middleware and semantic interoperability communities. We argue that existing approaches are simply unable to meet the demands of the complex distributed systems of today and that the lack of integration between the work on middleware and semantic interoperability is a clear impediment to progress in this area. We outline a roadmap towards meeting the challenges of interoperability including the need for integration across these two communities, resulting in middleware solutions that are intrinsically based on semantic meaning. We also advocate a dynamic approach to interoperability based on the concept of emergent middleware.

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Section: Data Heterogeneitymentioning

confidence: 99%

Interoperability in Complex Distributed Systems

Blair

Paolucci

Grace

et al. 2011

Lecture Notes in Computer Science

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“…Operators work on annotations, which are extracted parts (fragments of text) of a document, such as the title of a HTML page or a recognized product. They contain semantic metadata: the entity type (e.g., SAP Product), and the extracted entity itself (e.g., NetWeaver 2004s) with, if available, a unique id (e.g., an OKKAM Id (Bouquet et al, 2008)). An operator takes as input a set of annotations and returns new ones.…”

Section: Concepts and Backgroundmentioning

confidence: 99%

AdaptIE - Using Domain Language Concept to Enable Domain Experts in Modeling of Information Extraction Plans

Barczyñski

Förster

Brauer

et al. 2010

Proceedings of the 12th International Conference on Enterprise Information Systems

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Abstract:Implementing domain specific Information Extraction (IE) technologies to retrieve structured information from unstructured data is a challenging and complex task. It requires both: IE expertise and domain knowledge, provided by a domain expert who is aware of, e.g., the text corpus specifics and entities of interest. While the IE expert role is addressed by several approaches, less has been done in enabling domain experts in the process of IE development. Our approach targets this issue. We provide a base platform for collaboration of experts' through IE modeling languages. We provide each of the experts with an IE language that is adapted to their respective expertise. IE experts leverage a fine grained view and domain experts can use a coarse grain view on IE plan. We use Model Driven Architecture concept to enable transition among the languages and a model of algebraic IE framework. To prove applicability of our approach we realized AdaptIE and demonstrate it in a real world scenario for the SAP Community Network.

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“…Other than the Semantic Pingback it crawls the Web of Data in order to determine URIs describing the same resources. OKKAM [3] is a system that aims at unifying resource identifiers by employing metadata about resources in order to match them on entities.…”

Section: Related Workmentioning

confidence: 99%

Weaving a Social Data Web with Semantic Pingback

Tramp

Frischmuth

Ermilov

et al. 2010

Knowledge Engineering and Management by the Masses

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Abstract. In this paper we tackle some of the most pressing obstacles of the emerging Linked Data Web, namely the quality, timeliness and coherence as well as direct end user benefits. We present an approach for complementing the Linked Data Web with a social dimension by extending the well-known Pingback mechanism, which is a technological cornerstone of the blogosphere, towards a Semantic Pingback. It is based on the advertising of an RPC service for propagating typed RDF links between Data Web resources. Semantic Pingback is downwards compatible with conventional Pingback implementations, thus allowing to connect and interlink resources on the Social Web with resources on the Data Web. We demonstrate its usefulness by showcasing use cases of the Semantic Pingback implementations in the semantic wiki OntoWiki and the Linked Data interface for database-backed Web applications Triplify.

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Entity Name System: The Back-Bone of an Open and Scalable Web of Data

Cited by 40 publications

References 6 publications

Interoperability in Complex Distributed Systems

Interoperability in Complex Distributed Systems

AdaptIE - Using Domain Language Concept to Enable Domain Experts in Modeling of Information Extraction Plans

Weaving a Social Data Web with Semantic Pingback

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