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|Title=Hybrid Search - Ranking for Structured and Unstructured Data | |Title=Hybrid Search - Ranking for Structured and Unstructured Data | ||
|Year=2011 | |Year=2011 | ||
| − | |Booktitle=Extended Semantic Web Conference | + | |Booktitle=Proceedings of the 8th Extended Semantic Web Conference (ESWC) |
|Publisher=Springer | |Publisher=Springer | ||
|Address=Iraklio, Crete | |Address=Iraklio, Crete | ||
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{{Publikation Details | {{Publikation Details | ||
|Abstract=Abstract. A growing amount of structured data is published on the Web and complements the textual content. Searching the textual con- tent is performed primarily by the means of keyword queries and Information Retrieval methods. Structured data allow database-like queries for retrieval. Since structured and unstructured data occur often as a combination of both, are embedded in each other, or are complementary, the question of how search can take advantage of this hybrid data set- ting arises. Of particular interest is the question of how ranking as the algorithmic decision of what information is relevant for a given query can take structured and unstructured data into account by also allowing hybrid queries consisting of structured elements combined with keywords. I propose to investigate this question in the course of my PhD thesis. | |Abstract=Abstract. A growing amount of structured data is published on the Web and complements the textual content. Searching the textual con- tent is performed primarily by the means of keyword queries and Information Retrieval methods. Structured data allow database-like queries for retrieval. Since structured and unstructured data occur often as a combination of both, are embedded in each other, or are complementary, the question of how search can take advantage of this hybrid data set- ting arises. Of particular interest is the question of how ranking as the algorithmic decision of what information is relevant for a given query can take structured and unstructured data into account by also allowing hybrid queries consisting of structured elements combined with keywords. I propose to investigate this question in the course of my PhD thesis. | ||
| − | |Download=2011-eswc-dhe-phd.pdf, | + | |Download=2011-eswc-dhe-phd.pdf, |
|Projekt=IGreen | |Projekt=IGreen | ||
|Forschungsgruppe=Wissensmanagement | |Forschungsgruppe=Wissensmanagement | ||
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| + | {{Forschungsgebiet Auswahl | ||
| + | |Forschungsgebiet=Information Retrieval | ||
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| + | {{Forschungsgebiet Auswahl | ||
| + | |Forschungsgebiet=Semantische Suche | ||
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Version vom 8. Juni 2011, 09:34 Uhr
Hybrid Search - Ranking for Structured and Unstructured Data
Hybrid Search - Ranking for Structured and Unstructured Data
Published: 2011
Buchtitel: Proceedings of the 8th Extended Semantic Web Conference (ESWC)
Verlag: Springer
Erscheinungsort: Iraklio, Crete
Referierte Veröffentlichung
BibTeX
Kurzfassung
Abstract. A growing amount of structured data is published on the Web and complements the textual content. Searching the textual con- tent is performed primarily by the means of keyword queries and Information Retrieval methods. Structured data allow database-like queries for retrieval. Since structured and unstructured data occur often as a combination of both, are embedded in each other, or are complementary, the question of how search can take advantage of this hybrid data set- ting arises. Of particular interest is the question of how ranking as the algorithmic decision of what information is relevant for a given query can take structured and unstructured data into account by also allowing hybrid queries consisting of structured elements combined with keywords. I propose to investigate this question in the course of my PhD thesis.
Download: Media:2011-eswc-dhe-phd.pdf
Information Retrieval, Semantische Suche