Semantic URL Analytics to Support Efficient Annotation of Large Scale Web Archives - Publikacja - MOST Wiedzy

Wyszukiwarka

Semantic URL Analytics to Support Efficient Annotation of Large Scale Web Archives

Abstrakt

Long-term Web archives comprise Web documents gathered over longer time periods and can easily reach hundreds of terabytes in size. Semantic annotations such as named entities can facilitate intelligent access to the Web archive data. However, the annotation of the entire archive content on this scale is often infeasible. The most efficient way to access the documents within Web archives is provided through their URLs, which are typically stored in dedicated index files. The URLs of the archived Web documents can contain semantic information and can offer an efficient way to obtain initial semantic annotations for the archived documents. In this paper, we analyse the applicability of semantic analysis techniques such as named entity extraction to the URLs in a Web archive. We evaluate the precision of the named entity extraction from the URLs in the Popular German Web dataset and analyse the proportion of the archived URLs from 1,444 popular domains in the time interval from 2000 to 2012 to which these techniques are applicable. Our results demonstrate that named entity recognition can be successfully applied to a large number of URLs in our Web archive and provide a good starting point to efficiently annotate large scale collections of Web documents.

Cytowania

  • 4

    CrossRef

  • 4

    Web of Science

  • 4

    Scopus

Autorzy (6)

Słowa kluczowe

Pełna treść

pełna treść publikacji nie jest dostępna w portalu

Informacje szczegółowe

Kategoria:
Aktywność konferencyjna
Typ:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Tytuł wydania:
W : Semantic Keyword-based Search on Structured Data Sources strony 153 - 166
Język:
angielski
Rok wydania:
2015
Opis bibliograficzny:
Souza T., Demidova E., Risse T., Holzmann H., Gossen G., Szymański J.: Semantic URL Analytics to Support Efficient Annotation of Large Scale Web Archives// W : Semantic Keyword-based Search on Structured Data Sources/ : , 2015, s.153-166
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1007/978-3-319-27932-9_14
Weryfikacja:
Politechnika Gdańska

wyświetlono 17 razy

Publikacje, które mogą cię zainteresować

Meta Tagi