Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Stephan Bloehdorn"'
Autor:
Stephan Bloehdorn, Hansjörg Fromm
Publikováno v:
Enterprise-Integration ISBN: 9783642418907
Recently, the term Big Data has gained tremendous popularity in business and academic discussions and is now prominently used in scientific publications (Jacobs, Communications of the ACM—A Blind person’s interaction with technology, 2009), busin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a934fcd8c0ddc9808ba19ea82aa453e
https://doi.org/10.1007/978-3-642-41891-4_9
https://doi.org/10.1007/978-3-642-41891-4_9
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642302831
ESWC
ESWC
The increasing availability of structured data in (RDF) format poses new challenges and opportunities for data mining. Existing approaches to mining RDF have only focused on one specific data representation, one specific machine learning algorithm or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d79f0e26911ae44978cdae84c303696
https://doi.org/10.1007/978-3-642-30284-8_16
https://doi.org/10.1007/978-3-642-30284-8_16
Autor:
Sebastian Blohm, Stephan Bloehdorn, Uta Lösch, Andreas Hotho, Steffen Staab, Alexander Mädche, Johanna Völker, Eddie Mönch, Philipp Cimiano, Eugenie Giesbrecht, Philipp Sorg
Publikováno v:
Foundations for the Web of Information and Services ISBN: 9783642197963
Foundations for the Web of Information and Services
Foundations for the Web of Information and Services
While the amount of structured data published on the Web keeps growing (fostered in particular by the Linked Open Data initiative), the Web still comprises of mainly unstructured—in particular textual—content and is therefore a Web for human cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::732d07bc27219c67b46df1295abc29e2
https://doi.org/10.1007/978-3-642-19797-0_7
https://doi.org/10.1007/978-3-642-19797-0_7
Publikováno v:
Foundations for the Web of Information and Services ISBN: 9783642197963
Foundations for the Web of Information and Services
Foundations for the Web of Information and Services
Intelligent infrastructures, in particular Semantic Technologies, have accompanied the development to service-centric architectures and computing paradigms since the early days. In this contribution, we assess the current state of these technologies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39c3a9b97465d7ef72971de60e0a518e
https://doi.org/10.1007/978-3-642-19797-0_12
https://doi.org/10.1007/978-3-642-19797-0_12
Autor:
Andreas Hotho, Stephan Bloehdorn
Publikováno v:
Handbook on Ontologies ISBN: 9783540709992
Handbook on Ontologies
Handbook on Ontologies
The growing amounts of ontologies and semantically annotated data has led to considerable interest in mining these richly structured data sources. While research has actively addressed the issue of inducing semantic structures from conventional types
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b516895b558b53a59fff6decf307fbd
https://doi.org/10.1007/978-3-540-92673-3_29
https://doi.org/10.1007/978-3-540-92673-3_29
Publikováno v:
CIKM
Several Text Categorization applications require a representation beyond the standard bag-of-words paradigm. Kernel-based learning has approached this problem by (i) considering information about syntactic structure or by (ii) incorporating knowledge
Autor:
Johanna Völker, Stephan Bloehdorn, Philipp Cimiano, Ian Thurlow, Alistair Duke, Peter Haase, Jörg Heizmann
Publikováno v:
Research and Advanced Technology for Digital Libraries ISBN: 9783540748502
ECDL
ECDL
In this paper we present an approach to question answering over heterogeneous knowledge sources that makes use of different ontology management components within the scenario of a digital library application. We present a principled framework for int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d377758636696aad61a75b0ca247a43
https://doi.org/10.1007/978-3-540-74851-9_2
https://doi.org/10.1007/978-3-540-74851-9_2
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540714941
ECIR
ECIR
The exploitation of syntactic structures and semantic background knowledge has always been an appealing subject in the context of text retrieval and information management. The usefulness of this kind of information has been shown most prominently in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15283a6600c7ea9ec94dd1dd82b2e46b
https://doi.org/10.1007/978-3-540-71496-5_29
https://doi.org/10.1007/978-3-540-71496-5_29
Autor:
Stephan Bloehdorn, York Sure
Publikováno v:
The Semantic Web ISBN: 9783540762973
ISWC/ASWC
ISWC/ASWC
The amount of ontologies and meta data available on the Web is constantly growing. The successful application of machine learning techniques for learning of ontologies from textual data, i.e. mining for the Semantic Web, contributes to this trend. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65d1a441b8fa2312609bcbbdfe96d583
https://doi.org/10.1007/978-3-540-76298-0_5
https://doi.org/10.1007/978-3-540-76298-0_5
Publikováno v:
ICDM
In this paper we propose a new approach to the design of semantic smoothing kernels for text classification. These kernels implicitly encode a superconcept expansion in a semantic network using well-known measures of term similarity. The experimental