Dao, T. (1998) An indexing model for structured documents to support queries on content, structure and attributes. In Advances in Digital Libraries Conf. IEEE Computer Society Press, Los Alamitos, CA. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Searching and Browsing Collections of Structural Information - Wolff, Flörke, Cremers (2000) (11 citations) (Correct)
....creation for the processing of embedded structural information. Integrating all structural information in an inverted file as described in [17] does not support any additional functionalities because the access to all information is only available through the terms. To avoid this disadvantage, [9] presents a about 0.26 on the whole collection. 16 http: www.w3.org TandS QL QL98 pp xql.html splitting of the textual and structural information into three different inverted files. The limitation of this approach is the loss of the hierarchical dependencies of the elements. The approach to ....
T. Dao. An indexing model for structured documents to support queries on content, structure and attributes. In Advances in Digital Libraries. IEEE Computer Society Press, 1998.
Beyond Information Searching and Browsing: Acquiring.. - Feng, Jeusfeld.. (2001) (1 citation) (Correct)
....refining queries for DLs [13, 9] In [11] index terms are automatically extracted from documents and a vector space paradigm is exploited to measure the matching degrees between queries and documents. Indexes and metadata can also be manually created from which semantic relationships are captured [10]. Furthermore, the information space consisting of a large collection of documents can be semantically partitioned into different clusters, so that queries can be evaluated against relevant clusters [32] According to topic areas, a distributed semantic framework is proposed to contextualize the ....
T. Dao. An indexing model for structured documents to support queries on content, structure and attributes. In Proc. of the IEEE Forum on Research and Technology Advances in Digital Libraries, pages 88--97, California, USA, April 1998.
Towards Knowledge-Based Digital Libraries - Feng, Jeusfeld, Hoppenbrouwers (2001) (3 citations) (Correct)
....DLs [FBY92, CLvRC98] In [DvR93] index terms are automatically extracted from documents and a vector space paradigm is exploited to measure the matching degrees between queries and documents. Indexes and metadata can also be manually created from which semantic relationships are captured [BS95, Dao98] Furthermore, the information space consisting of a large collection of documents can be semantically partitioned into different clusters, so that queries can be evaluated against relevant clusters [Wil88] According to topic areas, a distributed semantic framework is proposed in [PH99, Mil00] ....
T. Dao. An indexing model for structured documents to support queries on content, structure and attributes. In Proc. of the IEEE Forum on Research and Technology Advances in Digital Libraries, pages 88--97, California, USA, April 1998.
A Model for Representing and Retrieving Heterogeneous Structured.. - Lalmas (1999) (Correct)
.... aggregated objects, or non text objects) The fourth group of approaches dealing with structured documents aims at constructing indexes that not only locate keywords in a text, but also structure data (e.g. beginning and end of a section, or title) An example of such an approach is described in [36]. For each keyword and structure data, a list of the locations of their occurrence in the text documents is compiled. An expressive query language is thus de ned to search with respect to content and structure. This approach is not intended for the retrieval of aggregated objects, and hence does ....
T. Dao. An indexing model for structured documents to support queries on content, structure and attributes. In Advances in Digital Libraries Conference, 1998.
XPRES: a Ranking Approach to Retrieval on Structured Documents - Wolff, Flörke, Cremers (1999) (2 citations) (Correct)
....some approaches on index creation for handling structural information. Integrating all structural information in an inverted file as described in [17] does not support any additional functionalities because the access to all information is only available through terms. To avoid this disadvantage [8] presents a splitting of the textual and structural informations in three different inverted files. The limitation of this approach is the loss of the hierarchical dependencies of the elements. The approach of indexing structure described in [20] is closely related to ours. It adds some extra ....
Tuong Dao. An indexing model for structured documents to support queries on content, structure and attributes. In Advances in Digital Libraries. IEEE Computer Society Press, 1998.
A Model for Representing and - Retrieving Heterogeneous Structured (Correct)
No context found.
Dao, T. (1998) An indexing model for structured documents to support queries on content, structure and attributes. In Advances in Digital Libraries Conf. IEEE Computer Society Press, Los Alamitos, CA.
A Heuristics-Based Approach to Query Optimization in Structured .. - Che, Aberer (1999) (1 citation) (Correct)
No context found.
Tuong Dao. An Indexing Model for Structured Documents to support Queries on Content, Structure and Attributes.In Proc. of IEEE Int. Forum on Research and Technology Advances in Digital Libraries (ADL'98), pp.88-97, Santa Barbara, California, Aprill 22-24, 1998.
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