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Motivating service re-use with a web service ontology learning

INTERNATIONAL JOURNAL OF web INFORMATION SYSTEMS 2013年第3期9卷 219-241页

作者： Alfaries, Auhood Bell, David Lycett, Mark Brunel Univ Sch Informat Syst Comp & Math Uxbridge Middx England

Purpose - The purpose of the research is to speed up the process of semantic web services by transformation of current web services into semantic web services. This can be achieved by applying ontology learning techniques to automatically extract domain ontologies. Design/methodology/approach - The work here presents a Service Ontology Learning Framework (SOLF), the core aspect of which extracts Structured Interpretation Patterns (SIP). These patterns are used to automate the acquisition (from production domain specific web Services) of ontological concepts and the relations between those concepts. Findings - A Semantic web of accessible and re-usable software services is able to support the increasingly dynamic and time-limited development process. This is premised on the efficient and effective creation of supporting domain ontology. Research limitations/implications - Though WSDL documents provide important application level service description, they alone are not sufficient for OL however, as: they typically provide technical descriptions only;and in many cases, web services use XSD files to provide data type definitions. The need to include (and combine) other web service resources in the OL process is therefore an important one. Practical implications - web service domain ontologies are the general means by which semantics are added to web services;typically used as a common domain model and referenced by annotated or externally described web artefacts (e.g. web services). The development and deployment of Semantic web services by enterprises and the wider business community has the potential to radically improve planned and ad-hoc service re-use. The reality is slower however, in good part because the development of an appropriate ontology is an expensive, error prone and labor intensive task. The proposed SOLF framework is aimed to overcome this problem by contributing a framework and a tool that can be used to build web service domain ontologies automatical

关键词： Ontology learning Semantic web Services (SWS) Information extraction Knowledge extraction web semantics architectures Applications and standards web search and information extraction Advanced web applications web data integration Semantics Knowledge management

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Parallel Approach and Platform for Large-scale web data Extraction

Parallel Approach and Platform for Large-scale Web Data Extr...

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International Conference on Advanced Cloud and Big data (CDB)

作者： Shen, Yi Shi, Shengsheng Wang, Haitao Wei, Wu Yuan, Chunfeng Huang, Yihua Nanjing Univ Dept Comp Sci & Technol Nanjing 210023 Jiangsu Peoples R China

ISBN: (纸本)9781479932610

As the most popular information publishing platform, the web contains a lot of valued information of interests to users or applications. Although a lot of data extraction techniques have been studied in the last decade, it is still far away from meeting the need of real data extraction. On the one hand, most of them cannot support the whole web information extraction process involving three stages: web page navigation, data extraction and data integration;On the other hand, they cannot support parallel data extraction process for large-scale web pages. In this paper, we propose a parallel approach and platform based on the Hadoop MapReduce for large-scale web data extraction. Our approach can perform the whole three-stage web data extraction process in parallel. Experimental results show that our approach is efficient and can achieve linear speedup.

关键词： Large-scale web data extraction Parallel platform Parallel web data extraction web page navigation web data integration

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NEXIR: A Novel web Extraction Rule Language toward a Three-Stage web data Extraction Model

NEXIR: A Novel Web Extraction Rule Language toward a Three-S...

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14th International Conference on web Information Systems Engineering (WISE)

作者： Shi, Shengsheng Wei, Wu Liu, Yulong Wang, Haitao Luo, Lei Yuan, Chunfeng Huang, Yihua Nanjing Univ Dept Comp Sci & Technol Natl Key Lab Novel Software Technol Nanjing 210023 Jiangsu Peoples R China

ISBN: (纸本)9783642412301;9783642412295

As the most popular information publishing platform, the web contains a lot of valued data information of interests to users or applications. Nowadays, although a lot of data mining or analysis techniques have been studied in last decade, there are still not many easy-to-use web data mining tools available for users to extract useful data information from the web. The web information extraction is a whole process involving web page navigation, data extraction and data integration. Unfortunately most of existing studies or systems lack of sufficient consideration toward the three-stage process. Also most of them lack the powerful rules to express the flexible extraction logic to extract data records with complicate structure. In this paper, we propose a novel web data extraction language, NEXIR, toward a three-stage web data extraction model. First of all, the language can define rules for system to automate the navigation process of the web pages, including deep web pages that need interactions from users. Then the language allows users to define flexible and complicated rules to extract data records from web pages and integrate extracted data into a pre-defined structure. A language engine and a prototype extraction system have been implemented based on the proposed language. The experimental results show that our language and system work effective and powerful compared with existing data extraction approaches.

关键词： web data extraction Extraction Rule language data record web page navigation web data integration

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A Bottom-up, Knowledge-Aware Approach to Integrating and Querying web data Services

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ACM TRANSACTIONS ON THE web 2013年第4期7卷 19-19页

作者： Quarteroni, Silvia Brambilla, Marco Ceri, Stefano Politecn Milan DEIB I-20133 Milan Italy

As a wealth of data services is becoming available on the web, building and querying web applications that effectively integrate their content is increasingly important. However, schema integration and ontology matching with the aim of registering data services often requires a knowledge-intensive, tedious, and error-prone manual process. We tackle this issue by presenting a bottom-up, semi-automatic service registration process that refers to an external knowledge base and uses simple text processing techniques in order to minimize and possibly avoid the contribution of domain experts in the annotation of data services. The first by-product of this process is a representation of the domain of data services as an entity-relationship diagram, whose entities are named after concepts of the external knowledge base matching service terminology rather than being manually created to accommodate an application-specific ontology. Second, a three-layer annotation of service semantics (service interfaces, access patterns, service marts) describing how services "play" with such domain elements is also automatically constructed at registration time. When evaluated against heterogeneous existing data services and with a synthetic service dataset constructed using Google Fusion Tables, the approach yields good results in terms of data representation accuracy. We subsequently demonstrate that natural language processing methods can be used to decompose and match simple queries to the data services represented in three layers according to the preceding methodology with satisfactory results. We show how semantic annotations are used at query time to convert the user's request into an executable logical query. Globally, our findings show that the proposed registration method is effective in creating a uniform semantic representation of data services, suitable for building web applications and answering search queries.

关键词： Design web data integration web data services structured web search natural language web query web services service querying

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Towards Comparative Mining of web Document Objects with NFA: webOMiner System

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INTERNATIONAL JOURNAL OF data WAREHOUSING AND MINING 2012年第4期8卷 1-21页

作者： Ezeife, C. I. Mutsuddy, Titas Univ Windsor Sch Comp Sci Windsor ON N9B 3P4 Canada

The process of extracting comparative heterogeneous web content data which are derived and historical from related web pages is still at its infancy and not developed. Discovering potentially useful and previously unknown information or knowledge from web contents such as "list all articles on 'Sequential Pattern Mining' written between 2007 and 2011 including title, authors, volume, abstract, paper, citation, year of publication," would require finding the schema of web documents from different web pages, performing web content data integration, building their virtual or physical data warehouse before web content extraction and mining from the database. This paper proposes a technique for automatic web content data extraction, the webOMiner system, which models web sites of a specific domain like Business to Customer (B2C) web sites, as object oriented database schemas. Then, non-deterministic finite state automata (NFA) based wrappers for recognizing content types from this domain are built and used for extraction of related contents from data blocks into an integrated database for future second level mining for deep knowledge discovery.

关键词： Non-Deterministic Finite Automata (NFA) Object Oriented Mining web Content Mining web data integration Wrappers

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ETTA-IM: A deep web query interface matching approach based on evidence theory and task assignment

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EXPERT SYSTEMS WITH APPLICATIONS 2011年第8期38卷 10218-10228页

作者： Dong Yongquan Li Qingzhong Ding Yanhui Peng Zhaohui Shandong Univ Sch Comp Sci & Technol Jinan 250101 Peoples R China Xuzhou Normal Univ Sch Comp Sci & Technol Xuzhou 221000 Peoples R China

Integrating Deep web data sources require highly accurate matches between the attributes of the query interfaces. While interface matching has received more attentions recently, current approaches are still not sufficiently perfect: (a) they all suppose that every interface attribute type has been predefined;(b) most of them combine multiple matchers taking into account different aspects of information about schema, but the weights of individual matchers are usually manually generated, and there may exist a high degree of inconsistency among different matchers;and (c) most of them only consider one-to-one matches of attributes over the interfaces and lack effective mathematical modeling. Therefore, a novel deep web query interface matching approach called ETTA-IM is proposed based on evidence theory and task assignment. Varied kinds of type recognizers are defined to identify the types of interface attributes which are used to divide the schema space into several schema subspaces. A modified D-S evidence theory is used to automatically combine multiple matchers and to solve high conflicts among different matchers. One-to-one match decision is converted to extended task assignment problem and some tree structure heuristic rules are used to perform one-to-many match decision. Experiments show that ETTA-IM approach yields high precision and recall measures. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： Query interface matching Schema matching Deep web web data integration

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Thematic data Extraction from web for GIS and Applications

Thematic Data Extraction from Web for GIS and Applications

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2011 IEEE International Conference on Spatial data Mining and Geographical Knowledge Services(ICSDM 2011)

作者： George Shi Ken Barker The University of Calgary 2500 University Dr.NW CalgaryAlbertaCanada TININ4

＜正＞Many web pages contain textual descriptions about locations such as addresses,phone numbers,landmarks,and *** location-related descriptions are valuable geospatial information for business ***,the web can be perceived as a large geospatial database that could provide up-to-date data for *** this rich and frequently updated web geospatial information is underutilized. Most related work has been focused on identifying and extracting location names from web pages for the purpose of page indexing. Little research has been found on extracting and using various types of web geospatial information for enterprise GIS *** paper tries to fill the gap by（1） proposing new algorithms for retrieving different types of geospatial information on web pages and resolving location name ambiguity issues;（2） exploring how GIS can leverage extracted web geospatial data for enterprise applications.

关键词： webGeo-Information Discovery Information Extraction Geoparsing web data integration GIS

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A Query Interface Matching Approach Based on Extended Evidence Theory for Deep web

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Journal of Computer Science & Technology 2010年第3期25卷 537-547页

作者：董永权李庆忠丁艳辉彭朝晖 School of Computer Science and Technology Shandong University School of Computer Science and Technology Xuzhou Normal University

Matching query interfaces is a crucial step in data integration across multiple web databases. Different types of information about query interface schemas have been used to match attributes between schemas. Relying on a single aspect of information is not sufficient and the matching results of individual matchers are often inaccurate and uncertain. The evidence theory is the state-of-the-art approach for combining multiple sources of uncertain information. However, traditional evidence theory has the limitations of treating individual matchers in different matching tasks equally for query interface matching, which reduces matching performance. This paper proposes a novel query interface matching approach based on extended evidence theory for Deep web. Our approach firstly introduces the dynamic prediction procedure of different matchers＇ credibilities. Then, it extends traditional evidence theory with the credibilities and uses exponentially weighted evidence theory to combine the results of multiple matchers. Finally, it performs matching decision in terms of some heuristics to obtain the final matches. Our approach overcomes the shortage of traditional method and can adapt to different matching tasks. Experimental results demonstrate the feasibility and effectiveness of our proposed approach.

关键词： query interface matching schema matching Deep web web data integration

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Learning-Based Approaches for Matching web data Entities

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IEEE INTERNET COMPUTING 2010年第4期14卷 23-31页

作者： Koepcke, Hanna Thor, Andreas Rahm, Erhard Univ Leipzig Database Grp Leipzig Germany Univ Leipzig Inst Comp Sci Leipzig Germany

Entity matching is a key task for data integration and especially challenging for web data. Effective entity matching typically requires combining several match techniques and finding suitable configuration parameters, such as similarity thresholds. The authors investigate to what degree machine learning helps semi-automatically determine suitable match strategies with a limited amount of manual training effort. They use a new framework, Fever, to evaluate several learning-based approaches for matching different sets of web data entities. In particular, they study different approaches for training-data selection and how much training is needed to find effective combined match strategies and configurations.

关键词： web data integration entity matching machine learning web search engines Machine Learning congenital web World Wide web data integration semantic networks Artificial Intelligence webs

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An Efficient Wrapper for web data Extraction and its Application

An Efficient Wrapper for Web Data Extraction and its Applica...

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4th International Conference on Computer Science and Education

作者： Zhang, Suzhi Shi, Peizhong Zhengzhou Univ Light Ind Coll Comp & Commun Engn Zhengzhou Peoples R China

ISBN: (纸本)9781424435197

web Wrapper extracts the data from the given web sources according to the corresponding extraction rules of them. Its' design is a key technology for web information extraction and integration. This paper describes the design and implementation of a kind of the web Wrapper which based on pre-defined schema. Then it validates the data extraction from the new books information web pages of some publishing companies and analyses the extraction results with this kind of web Wrapper. We find it can accurately extract the data from the web source. So we can conclude that this kind of web Wrapper which proposed in this paper is feasible, efficient and maintainable. It will be applied for web data integration based on Wrapper/Mediator that we rely on to develop a web application for book information integration and query system.

关键词： Wrapper extraction rule information extraction web data integration new book information

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