Constructing Interface Schemas for Search Interfaces of Web Databases

He, Hai; Meng, Weiyi; Yu, Clement; Wu, Zonghuan

doi:10.1007/11581062_3

Cited by 43 publications

(33 citation statements)

References 16 publications

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“…Furthermore, a flat representation of interface fields fails to properly represent the semantic relationships between them. The approaches most related to ours, in that they also view query interfaces as structured objects, are [24,13]. [13] uses attributes to group sets of related fields.…”

Section: Related Workmentioning

confidence: 99%

“…The approaches most related to ours, in that they also view query interfaces as structured objects, are [24,13]. [13] uses attributes to group sets of related fields. For example, the three fields denoting the departure date in the interface in Figure 1 would be captured as one attribute, and the field From on the same interface would be an example of an attribute containing a single field.…”

Section: Related Workmentioning

confidence: 99%

“…One may choose to assign labels according to this prioritization. This is the strategy employed by [24,13], but it is not generic and leads to errors. Our strategy instead is to collect first all possible candidate labels for each field and then, in a later step (integration, see Section 5.4), to decide which are the appropriate ones.…”

Section: Candidate Labels For Fieldsmentioning

confidence: 99%

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A hierarchical approach to model web query interfaces for web source integration

Dragut

Kabisch

et al. 2009

Proc. VLDB Endow.

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Much data in the Web is hidden behind Web query interfaces. In most cases the only means to "surface" the content of a Web database is by formulating complex queries on such interfaces. Applications such as Deep Web crawling and Web database integration require an automatic usage of these interfaces. Therefore, an important problem to be addressed is the automatic extraction of query interfaces into an appropriate model. We hypothesize the existence of a set of domain-independent "commonsense design rules" that guides the creation of Web query interfaces. These rules transform query interfaces into schema trees. In this paper we describe a Web query interface extraction algorithm, which combines HTML tokens and the geometric layout of these tokens within a Web page. Tokens are classified into several classes out of which the most significant ones are text tokens and field tokens. A tree structure is derived for text tokens using their geometric layout. Another tree structure is derived for the field tokens. The hierarchical representation of a query interface is obtained by iteratively merging these two trees. Thus, we convert the extraction problem into an integration problem. Our experiments show the promise of our algorithm: it outperforms the previous approaches on extracting query interfaces on about 6.5% in accuracy as evaluated over three corpora with more than 500 Deep Web interfaces from 15 different domains.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Candidate Labels For Fieldsmentioning

confidence: 99%

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A hierarchical approach to model web query interfaces for web source integration

Dragut

Kabisch

et al. 2009

Proc. VLDB Endow.

Self Cite

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show abstract

“…Only one of them can be used in any given query. Techniques for identifying exclusive attributes are discussed in [5].…”

Section: Exclusive Attributesmentioning

confidence: 99%

“…Some techniques in [5] can be used in our work to identify and classify attributes into different types. We do not address this issue in this paper.…”

Section: Introductionmentioning

confidence: 99%

Querying Capability Modeling and Construction of Deep Web Sources

Shu

Meng

et al.

Web Information Systems Engineering – WISE 2007

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Abstract. Information in a deep Web source can be accessed through queries submitted on its query interface. Many Web applications need to interact with the query interfaces of deep Web sources such as deep Web crawling and comparison-shopping. Analyzing the querying capability of a query interface is critical in supporting such interactions automatically and effectively. In this paper, we propose a querying capability model based on the concept of atomic query which is a valid query with a minimal attribute set. We also provide an approach to construct the querying capability model automatically by identifying atomic queries for any given query interface. Our experimental results show that the accuracy of our algorithm is good. [2,7,11,12]. The focus of this paper is on the automatic analysis of the querying capability of complex query interfaces, i.e., we want to find out what kinds of queries are valid (acceptable) by any given interface. A typical complex query interface consists of a series of attributes, each of which has one or more control elements like textbox, selection list, radio button and checkbox. A query is a combination of pairs, each consisting of an attribute and its assigned value. Those combinations that are accepted by the query interface syntax are valid queries; others are invalid queries. Determining whether a query is valid is an important aspect of querying capability Keywords

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Integration of Job Portals by Meta-search

Dorn

Naz

Enterprise Interoperability II

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Constructing Interface Schemas for Search Interfaces of Web Databases

Cited by 43 publications

References 16 publications

A hierarchical approach to model web query interfaces for web source integration

A hierarchical approach to model web query interfaces for web source integration

Querying Capability Modeling and Construction of Deep Web Sources

Integration of Job Portals by Meta-search

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