Ontology based meta knowledge extraction with Semantic Web tools for ubiquitous computing

Aliva M. Pradhan, Aparna Varde

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The Semantic Web propels ubiquitous computing by driving the evolution of Web technologies for meaningful user-friendly access. It allows users to apply its potential to find, share and combine information. Ontology based annotations can be used in the Semantic Web to provide better support for organizing knowledge exchange between users. We address this issue to extract meta knowledge from the Web, regardless of devices (e.g., desktops, tablets). Accessing and reusing RDF data from many sources of varying credibility and authority is done through the Semantic Web. This makes the tracking, representation and utilization of various meta knowledge aspects such as reliability, provenance and timestamps extremely important. In this paper, we present an ontology based approach deployed to extract meta knowledge with the following tasks: (1) annotate and extract Wikipedia contents (2) create RDF metadata using the annotations (3) query metadata from the RDF files to obtain the required knowledge. Our general purpose is to link documents to Wikipedia fed to DBpedia / Cyc for extracting the shared lightweight ontology and utilize it for SPARQL querying of documents encompassing meta knowledge. In our approach and experiments we focus on academic scenarios. This knowledge extraction process is useful in developing AI tools and mobile apps where semantics is critical. This work enhances ubiquitous computing by providing efficient and accurate Web access for knowledge extraction on many platforms including desktop computers and mobile devices.

Original languageEnglish
Title of host publication2016 IEEE 7th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016
EditorsHimadri Nath Saha, Satyajit Chakrabarti
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509014965
DOIs
StatePublished - 7 Dec 2016
Event7th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016 - New York City, United States
Duration: 20 Oct 201622 Oct 2016

Publication series

Name2016 IEEE 7th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016

Other

Other7th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016
CountryUnited States
CityNew York City
Period20/10/1622/10/16

Fingerprint

Ubiquitous computing
Semantic Web
Ontology
Metadata
Application programs
Mobile devices
Personal computers
Semantics
Experiments

Keywords

  • AI Tools
  • Data Management
  • Query Processing
  • RDF & OWL
  • SPARQL
  • Wikipedia & DBpedia

Cite this

Pradhan, A. M., & Varde, A. (2016). Ontology based meta knowledge extraction with Semantic Web tools for ubiquitous computing. In H. N. Saha, & S. Chakrabarti (Eds.), 2016 IEEE 7th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016 [7777817] (2016 IEEE 7th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UEMCON.2016.7777817
Pradhan, Aliva M. ; Varde, Aparna. / Ontology based meta knowledge extraction with Semantic Web tools for ubiquitous computing. 2016 IEEE 7th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016. editor / Himadri Nath Saha ; Satyajit Chakrabarti. Institute of Electrical and Electronics Engineers Inc., 2016. (2016 IEEE 7th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016).
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abstract = "The Semantic Web propels ubiquitous computing by driving the evolution of Web technologies for meaningful user-friendly access. It allows users to apply its potential to find, share and combine information. Ontology based annotations can be used in the Semantic Web to provide better support for organizing knowledge exchange between users. We address this issue to extract meta knowledge from the Web, regardless of devices (e.g., desktops, tablets). Accessing and reusing RDF data from many sources of varying credibility and authority is done through the Semantic Web. This makes the tracking, representation and utilization of various meta knowledge aspects such as reliability, provenance and timestamps extremely important. In this paper, we present an ontology based approach deployed to extract meta knowledge with the following tasks: (1) annotate and extract Wikipedia contents (2) create RDF metadata using the annotations (3) query metadata from the RDF files to obtain the required knowledge. Our general purpose is to link documents to Wikipedia fed to DBpedia / Cyc for extracting the shared lightweight ontology and utilize it for SPARQL querying of documents encompassing meta knowledge. In our approach and experiments we focus on academic scenarios. This knowledge extraction process is useful in developing AI tools and mobile apps where semantics is critical. This work enhances ubiquitous computing by providing efficient and accurate Web access for knowledge extraction on many platforms including desktop computers and mobile devices.",
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Pradhan, AM & Varde, A 2016, Ontology based meta knowledge extraction with Semantic Web tools for ubiquitous computing. in HN Saha & S Chakrabarti (eds), 2016 IEEE 7th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016., 7777817, 2016 IEEE 7th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016, Institute of Electrical and Electronics Engineers Inc., 7th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016, New York City, United States, 20/10/16. https://doi.org/10.1109/UEMCON.2016.7777817

Ontology based meta knowledge extraction with Semantic Web tools for ubiquitous computing. / Pradhan, Aliva M.; Varde, Aparna.

2016 IEEE 7th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016. ed. / Himadri Nath Saha; Satyajit Chakrabarti. Institute of Electrical and Electronics Engineers Inc., 2016. 7777817 (2016 IEEE 7th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - The Semantic Web propels ubiquitous computing by driving the evolution of Web technologies for meaningful user-friendly access. It allows users to apply its potential to find, share and combine information. Ontology based annotations can be used in the Semantic Web to provide better support for organizing knowledge exchange between users. We address this issue to extract meta knowledge from the Web, regardless of devices (e.g., desktops, tablets). Accessing and reusing RDF data from many sources of varying credibility and authority is done through the Semantic Web. This makes the tracking, representation and utilization of various meta knowledge aspects such as reliability, provenance and timestamps extremely important. In this paper, we present an ontology based approach deployed to extract meta knowledge with the following tasks: (1) annotate and extract Wikipedia contents (2) create RDF metadata using the annotations (3) query metadata from the RDF files to obtain the required knowledge. Our general purpose is to link documents to Wikipedia fed to DBpedia / Cyc for extracting the shared lightweight ontology and utilize it for SPARQL querying of documents encompassing meta knowledge. In our approach and experiments we focus on academic scenarios. This knowledge extraction process is useful in developing AI tools and mobile apps where semantics is critical. This work enhances ubiquitous computing by providing efficient and accurate Web access for knowledge extraction on many platforms including desktop computers and mobile devices.

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M3 - Conference contribution

AN - SCOPUS:85010369935

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BT - 2016 IEEE 7th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016

A2 - Saha, Himadri Nath

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PB - Institute of Electrical and Electronics Engineers Inc.

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Pradhan AM, Varde A. Ontology based meta knowledge extraction with Semantic Web tools for ubiquitous computing. In Saha HN, Chakrabarti S, editors, 2016 IEEE 7th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7777817. (2016 IEEE 7th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016). https://doi.org/10.1109/UEMCON.2016.7777817