Kanopy: Analysing the semantic network around document topics

Ioana Hulpuş; Conor Hayes; Marcel Karnstedt; Derek Greene; Marek Jozwowicz

doi:10.1007/978-3-642-40994-3_53

Kanopy: Analysing the semantic network around document topics

Ioana Hulpuş
, Conor Hayes
, Marcel Karnstedt
, Derek Greene
, Marek Jozwowicz

Computer Science

University of Galway
University College Dublin

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

2 Citations (Scopus)

Abstract

External knowledge bases, both generic and domain specific, available on the Web of Data have the potential of enriching the content of text documents with structured information. We present the Kanopy system that makes explicit use of this potential. Besides the common task of semantic annotation of documents, Kanopy analyses the semantic network that resides in DBpedia around extracted concepts. The system's main novelty lies in the translation of social network analysis measures to semantic networks in order to find suitable topic labels. Moreover, Kanopy extracts advanced knolwedge in the form of subgraphs that capture the relationships between the concepts.

Original language	English
Title of host publication	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Proceedings
Pages	677-680
Number of pages	4
Edition	PART 3
DOIs	https://doi.org/10.1007/978-3-642-40994-3_53
Publication status	Published - 2013
Event	European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2013 - Prague, Czech Republic Duration: 23 Sep 2013 → 27 Sep 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	8190 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2013
Country/Territory	Czech Republic
City	Prague
Period	23/09/13 → 27/09/13

Access to Document

10.1007/978-3-642-40994-3_53

Cite this

Hulpuş, I., Hayes, C., Karnstedt, M., Greene, D., & Jozwowicz, M. (2013). Kanopy: Analysing the semantic network around document topics. In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Proceedings (PART 3 ed., pp. 677-680). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8190 LNAI, No. PART 3). https://doi.org/10.1007/978-3-642-40994-3_53

Hulpuş, Ioana ; Hayes, Conor ; Karnstedt, Marcel et al. / Kanopy : Analysing the semantic network around document topics. Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Proceedings. PART 3. ed. 2013. pp. 677-680 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

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title = "Kanopy: Analysing the semantic network around document topics",

abstract = "External knowledge bases, both generic and domain specific, available on the Web of Data have the potential of enriching the content of text documents with structured information. We present the Kanopy system that makes explicit use of this potential. Besides the common task of semantic annotation of documents, Kanopy analyses the semantic network that resides in DBpedia around extracted concepts. The system's main novelty lies in the translation of social network analysis measures to semantic networks in order to find suitable topic labels. Moreover, Kanopy extracts advanced knolwedge in the form of subgraphs that capture the relationships between the concepts.",

author = "Ioana Hulpu{\c s} and Conor Hayes and Marcel Karnstedt and Derek Greene and Marek Jozwowicz",

year = "2013",

doi = "10.1007/978-3-642-40994-3\_53",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Proceedings",

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Hulpuş, I, Hayes, C, Karnstedt, M, Greene, D & Jozwowicz, M 2013, Kanopy: Analysing the semantic network around document topics. in Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 8190 LNAI, pp. 677-680, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2013, Prague, Czech Republic, 23/09/13. https://doi.org/10.1007/978-3-642-40994-3_53

Kanopy: Analysing the semantic network around document topics. / Hulpuş, Ioana; Hayes, Conor; Karnstedt, Marcel et al.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Proceedings. PART 3. ed. 2013. p. 677-680 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8190 LNAI, No. PART 3).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

T1 - Kanopy

T2 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2013

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AU - Hayes, Conor

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AU - Greene, Derek

AU - Jozwowicz, Marek

PY - 2013

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AB - External knowledge bases, both generic and domain specific, available on the Web of Data have the potential of enriching the content of text documents with structured information. We present the Kanopy system that makes explicit use of this potential. Besides the common task of semantic annotation of documents, Kanopy analyses the semantic network that resides in DBpedia around extracted concepts. The system's main novelty lies in the translation of social network analysis measures to semantic networks in order to find suitable topic labels. Moreover, Kanopy extracts advanced knolwedge in the form of subgraphs that capture the relationships between the concepts.

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DO - 10.1007/978-3-642-40994-3_53

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BT - Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Proceedings

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Hulpuş I, Hayes C, Karnstedt M, Greene D, Jozwowicz M. Kanopy: Analysing the semantic network around document topics. In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Proceedings. PART 3 ed. 2013. p. 677-680. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-642-40994-3_53

Kanopy: Analysing the semantic network around document topics

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