Topic-oriented query expansion for web search

Wang, Shao-Chi; Tanaka, Yuzuru

doi:10.1145/1135777.1135999

Cited by 13 publications

(8 citation statements)

References 3 publications

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“…In [57], local context analysis is proposed that combines both general approaches; in [15], query log analysis is used to expand queries. Possible expansion terms may be ranked by their information entropy, and the most promising ones selected [48]. For specific domains, the general approaches can be improved upon by domain-specific methods, as shown for blogs or news in [17].…”

Section: Automatic Query Expansion (Aqe)mentioning

confidence: 99%

Discovery of interactive graphs for understanding and searching time-indexed corpora

Subasic

Berendt

2009

Knowl Inf Syst

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Rich information spaces (like the Web or scientific publications) are full of "stories": sets of statements that evolve over time, manifested as, for example, collections of news articles reporting events that relate to an evolving crime investigation, sets of news articles and blog posts accompanying the development of a political election campaign, or sequences of scientific papers on a topic. In this paper, we formulate the problem of discovering such stories as Evolutionary Theme Pattern Discovery, Summary and Exploration (ETP3). We propose a method and a visualisation tool for solving ETP3 by understanding, searching and interacting with such stories and their underlying documents. In contrast to existing approaches, our method concentrates on relational information and on local patterns rather than on the occurrence of individual concepts and global models. In addition, it relies on interactive graphs rather than natural language as the abstracted story representations. Furthermore, we present an evaluation framework. Two real-life case studies are used to illustrate and evaluate the method and tool.

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Section: Automatic Query Expansion (Aqe)mentioning

confidence: 99%

Discovery of interactive graphs for understanding and searching time-indexed corpora

Subasic

Berendt

2009

Knowl Inf Syst

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“…First, such terms could be identified utilizing cooccurrence statistics over the entire document collection to annotate [8]. In fact, as this approach has been shown to yield good results, many subsequent metrics have been developed to best assess "term relationship" levels, either by narrowing the analysis for only short windows of text [9], or broadening it towards topical clusters [10], etc.…”

Section: Related Workmentioning

confidence: 99%

On the conceptual tag refinement

Stojanović

2008

Proceedings of the 2008 ACM Symposium on Applied Computing

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Social tagging is a well known approach of assigning keywords to (web) documents in order to share the personal meaning of users about the content. However, the ambiguity of the assigned keywords hinders the knowledge sharing process. In this paper we present an approach for supporting tagging process by interpreting the keywords (tags) using a conceptual Tag model, which leads to a semantic tagging process. Moreover, the approach introduces the tag refinement process that proposes extensions of given tags in order to help the user to better express his/her "tagging" need. We present several evaluation studies in order to demonstrate the efficiency of the approach.

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“…First, such terms could be identified utilizing co-occurrence statistics over the entire document collection to annotate [24]. In fact, as this approach has been shown to yield good results, many subsequent metrics have been developed to best assess "term relationship" levels, either by narrowing the analysis for only short windows of text [19], or broadening it towards topical clusters [31], etc. We have also investigated three of these techniques in order to identify new keywords related to a set of terms that have been already extracted from the Web page which requires annotation.…”

Section: Text Mining For Abstract Associationmentioning

confidence: 99%

P-Tag

Chirita

Costache

Nejdl

et al. 2007

Proceedings of the 16th International Conference on World Wide Web

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The success of the Semantic Web depends on the availability of Web pages annotated with metadata. Free form metadata or tags, as used in social bookmarking and folksonomies, have become more and more popular and successful. Such tags are relevant keywords associated with or assigned to a piece of information (e.g., a Web page), describing the item and enabling keyword-based classification. In this paper we propose P-TAG, a method which automatically generates personalized tags for Web pages. Upon browsing a Web page, P-TAG produces keywords relevant both to its textual content, but also to the data residing on the surfer's Desktop, thus expressing a personalized viewpoint. Empirical evaluations with several algorithms pursuing this approach showed very promising results. We are therefore very confident that such a user oriented automatic tagging approach can provide large scale personalized metadata annotations as an important step towards realizing the Semantic Web.ACM 978-1-59593-654-7/07/0005. 1 Lowercase semantic web refers to an evolutionary approach for the Semantic Web by adding simple meaning gradually into the documents and thus lowering the barriers for re-using information. 2

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Topic-oriented query expansion for web search

Cited by 13 publications

References 3 publications

Discovery of interactive graphs for understanding and searching time-indexed corpora

Discovery of interactive graphs for understanding and searching time-indexed corpora

On the conceptual tag refinement

P-Tag

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