By Marco Balduini, Emanuele Della Valle, Daniele Dell’Aglio, Mikalai Tsytsarau (auth.), Harith Alani, Lalana Kagal, Achille Fokoue, Paul Groth, Chris Biemann, Josiane Xavier Parreira, Lora Aroyo, Natasha Noy, Chris Welty, Krzysztof Janowicz (eds.)
The two-volume set LNCS 8218 and 8219 constitutes the refereed complaints of the twelfth foreign Semantic net convention, ISWC 2013, held in Sydney, Australia, in October 2013. The foreign Semantic internet convention is the most well known discussion board for Semantic net learn, the place innovative clinical effects and technological thoughts are awarded, the place difficulties and ideas are mentioned, and the place the way forward for this imaginative and prescient is being constructed. It brings jointly experts in fields similar to man made intelligence, databases, social networks, disbursed computing, net engineering, info structures, human-computer interplay, traditional language processing, and the social sciences. half 1 (LNCS 8218) includes a overall of forty five papers that have been provided within the study song. They have been rigorously reviewed and chosen from 210 submissions. half 2 (LNCS 8219) comprises sixteen papers from the in-use song that have been authorized from ninety submissions. moreover, it offers 10 contributions to the reviews and experiments song and five papers of the doctoral consortium.
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Extra info for The Semantic Web – ISWC 2013: 12th International Semantic Web Conference, Sydney, NSW, Australia, October 21-25, 2013, Proceedings, Part II
Incremental Reasoning on Streams and Rich Background Knowledge. , Tudorache, T. ) ESWC 2010, Part I. LNCS, vol. 6088, pp. 1–15. Springer, Heidelberg (2010) 7. : A native and adaptive approach for uniﬁed processing of linked streams and linked data. , Blomqvist, E. ) ISWC 2011, Part I. LNCS, vol. 7031, pp. 370–388. Springer, Heidelberg (2011) 8. : Enabling ontology-based access to streaming data sources. , Glimm, B. ) ISWC 2010, Part I. LNCS, vol. 6496, pp. 96–111. Springer, Heidelberg (2010) 9.
3 The Data Extraction Process The Common Crawl corpus is published in the form of ARC files which can be obtained from Amazon S34 . com/datasets/41740 s3://aws-publicdatasets/common-crawl/parse-output/ Deployment of RDFa, Microdata, and Microformats on the Web 19 the corpus, we developed a parsing framework which can be executed on Amazon EC2 and supports the parallel extraction from multiple ARC files. The framework relies on the Anything To Triples (Any23)5 parser library for extracting RDFa, Microdata, and Microformats from the corpus.
Org and the International Press Telecommunication Council, including companies like the New York Times, see . This more specific class is used by 1,047 websites within our corpus, see Table 6. g. schema:Person). 26 C. Bizer et al. Regarding the properties which are used together with schema:NewsArticle, we discovered that in around 79% of the cases the title property is filled and on 66% of the websites the schema:articleBody is used together with the class. Navigational Information: The second most frequently used Microdata class is dv:Breadcrumb which is used by 21,729 websites.