Int. J. Web Sci.Pub Date : 2015-07-18DOI: 10.1504/IJWS.2014.070669
M. Khater, M. Malki
{"title":"Formal method-based behaviour for semantic web services discovery","authors":"M. Khater, M. Malki","doi":"10.1504/IJWS.2014.070669","DOIUrl":"https://doi.org/10.1504/IJWS.2014.070669","url":null,"abstract":"The effectiveness and reliability of IS-based web services becomes a critical factor in business success. Known classical problems in the field of web services are imposed implicitly in the design and implementation of such systems, namely: description process of web service, publication process, discovery process, composition process, selection process, substitution, and adaptation process. The approach proposed in this paper allows the realisation of discovery and adaptation tasks based on the behavioural aspect of semantic web services. In this paper, we propose a new behaviour model for semantic web services using automata. The formal model used to specify the process of semantic web services is typed interface and weighted automaton (TIWA) with an operational semantics associated with different action necessary in the implementation of all the algorithms proposed in this paper.","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122278434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Int. J. Web Sci.Pub Date : 2015-07-18DOI: 10.1504/IJWS.2014.070670
G. Shorbagy, M. Zaki, M. Maree, A. Rafea
{"title":"MPSWS: a multi-agent personalisation of the semantic web services","authors":"G. Shorbagy, M. Zaki, M. Maree, A. Rafea","doi":"10.1504/IJWS.2014.070670","DOIUrl":"https://doi.org/10.1504/IJWS.2014.070670","url":null,"abstract":"On the web, finding a service which is suited to user requirements is essential. In this paper, a multi-agent personalisation of the SWS system, MPSWS, is introduced. In MPSWS, both user information and SWS are interacting to identify user needs. It exploits agent-based systems to support the interaction between users and semantic web services in dynamic configurations. The work achieves the following contributions: 1) proposing a novel system architecture that realises personalisation in the semantic web services; 2) applying an AQ machine learning algorithm to proactively identifying user intentions from past events; 3) providing a BDI-based problem solver that exploits the user's context to determine his intentions; 4) building up OWLS queries for each identified user intention, which are processed by SWS matchmaker, to identifying OWLS services that can semantically match user needs. MPSWS is experimentally tested and its performance at different operational conditions is evaluated.","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121122798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Int. J. Web Sci.Pub Date : 2014-12-22DOI: 10.1504/IJWS.2014.066434
A. Rajimol, G. Raju
{"title":"Web access pattern mining - a new method","authors":"A. Rajimol, G. Raju","doi":"10.1504/IJWS.2014.066434","DOIUrl":"https://doi.org/10.1504/IJWS.2014.066434","url":null,"abstract":"An efficient web access pattern mining algorithm, FOL-mine is presented in this paper. The FOL-mine algorithm is based on the projected database of each frequent event and eliminates the need for construction of pattern tree. A data structure, first occurrence list (FOL), is introduced in the proposed algorithm for efficient handling of suffix building. Rebuilding of projection databases is completely eliminated in the new method. Experimental analysis of the algorithms reveals significant performance gain over other web access pattern mining algorithms.","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129132001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Int. J. Web Sci.Pub Date : 2014-12-22DOI: 10.1504/IJWS.2014.066416
Teodor Petrič, Teodor Petric, V. Rajkovič
{"title":"How to benefit from small samples of web queries?","authors":"Teodor Petrič, Teodor Petric, V. Rajkovič","doi":"10.1504/IJWS.2014.066416","DOIUrl":"https://doi.org/10.1504/IJWS.2014.066416","url":null,"abstract":"The basic goal of this article is to demonstrate the process of detecting useful ideas from small web query samples by combining different software tools. Our sample contained web queries made by users of the Special Library of the Ministry of the Interior (hereinafter SLOMI). The process of extracting useful ideas from our sample was partially guided by statistical analysis, partially by rather intuitive and collective descriptive evaluation methods. Several rich visualisation techniques were used to stimulate creative data interpretation. The collected data on the queried persons and their areas of professional interest in our sample were implemented into a customised thesaurus and a mind map in order to extract useful ideas.","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126830269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Int. J. Web Sci.Pub Date : 2014-12-22DOI: 10.1504/IJWS.2014.066415
Abdullah Kammani, Rahmath Safeena
{"title":"A review of Quranic computation for e-learning","authors":"Abdullah Kammani, Rahmath Safeena","doi":"10.1504/IJWS.2014.066415","DOIUrl":"https://doi.org/10.1504/IJWS.2014.066415","url":null,"abstract":"Noble Qur’an is the central religious text of Islam. Any computational effort on this text for its learning and understanding is known as Quranic computation. This effort of benefit to billions of people around the world. This study reviews various researches or applications of Quranic computation. Almost all of the applications or researches on this focus were done for e-learning of the Noble Quran. Reports based on different research projects from 1997 to 2011 were collected, classified and categorised. This review explores how research on Quranic computation has evolved and in which directions it needs to be focused for the best e-learning solution. It was noticed that Quranic computation evolved from two distinct complementary directions of studies: 1) general Arabic; 2) Quranic Arabic. Analysis of computation of Quranic Arabic for e-learning reveals few research gaps and suggests some future directions in the field.","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126256161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Int. J. Web Sci.Pub Date : 2014-12-22DOI: 10.1504/IJWS.2014.066435
Nelson K. Y. Leung, S. Lau, Nicole Tsang
{"title":"Reuse existing ontologies in an ontology development process - an integration-oriented ontology development methodology","authors":"Nelson K. Y. Leung, S. Lau, Nicole Tsang","doi":"10.1504/IJWS.2014.066435","DOIUrl":"https://doi.org/10.1504/IJWS.2014.066435","url":null,"abstract":"Ontologies are the building block of the Semantic Web and a diverse range of ontologies of different domains have been constructed and shared by the ontology community. In this regard it is not impractical to reuse existing ontologies that are available publicly instead of constructing ontology from scratch each time. This paper proposes and develops guidelines on how to select ontology merging and integration in an ontology development process. The paper aims to address the gap in literature where little information and guidance are available in determining how to reuse ontology through the process of ontology merging and integration. In addition the paper also proposes a semi-automatic way of performing ontology integration. An application scenario has been presented to illustrate how the proposed methodology is applied.","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127740082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Int. J. Web Sci.Pub Date : 2013-09-30DOI: 10.1504/IJWS.2013.056577
M. Atzmüller, F. Lemmerich
{"title":"Exploratory pattern mining on social media using geo-references and social tagging information","authors":"M. Atzmüller, F. Lemmerich","doi":"10.1504/IJWS.2013.056577","DOIUrl":"https://doi.org/10.1504/IJWS.2013.056577","url":null,"abstract":"This paper presents exploratory pattern mining techniques for describing communities of resources (e.g., images) and for characterising locations of interest. We utilise tagging information and collaborative geo-reference annotations for characterising resources locations by a set of descriptive patterns. The methods are embedded into an interactive approach for mining, browsing and visualising a set of patterns. As an exemplary use case, we focus on the social photo sharing application Flickr. Utilising publicly available real-world data from this platform, we provide a structural evaluation of the automatic approach as well as an exemplary case study for demonstrating the effectiveness and validity of the interactive approach.","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116047641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Int. J. Web Sci.Pub Date : 2013-09-30DOI: 10.1504/IJWS.2013.056574
D. Quinn, Liming Luke Chen, M. Mulvenna
{"title":"Discovering social behaviour variances of younger and older users through social interaction analysis","authors":"D. Quinn, Liming Luke Chen, M. Mulvenna","doi":"10.1504/IJWS.2013.056574","DOIUrl":"https://doi.org/10.1504/IJWS.2013.056574","url":null,"abstract":"The popularity of Social Networking has risen considerably in recent years, increasing opportunities for social interaction. As an approach, it has the potential to reduce the burden of social isolation for older users. However, the current state of older user engagement requires investigation. In a study exploring the possibilities of Interaction Analysis to undercover user behaviours / characteristics, five aspects of younger and older online engagement were investigated comprising; connectivity, length of engagement, application usage, engagement frequency classification and profile maintenance frequency. Results derived from user generated content, enabled direct comparisons on the engagement levels of both cohorts. Results established Interaction Analysis as an approach to detect user behaviour(s), observing the degree older users fail to return and maintain activity as significant; however users who do engage, maintain activity with a broad range of functions. Results quantified the interactions and behaviours of two disparate cohorts, determining key user characteristics.","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126608592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Int. J. Web Sci.Pub Date : 2013-09-30DOI: 10.1504/IJWS.2013.056572
I. Mukherjee, P. Mahanti, V. Bhattacharya, Samudra Banerjee
{"title":"Text classification using document-document semantic similarity","authors":"I. Mukherjee, P. Mahanti, V. Bhattacharya, Samudra Banerjee","doi":"10.1504/IJWS.2013.056572","DOIUrl":"https://doi.org/10.1504/IJWS.2013.056572","url":null,"abstract":"One of the key problems encountered while using a text classification learning algorithms is that they require huge amount of labelled examples to learn accurately. The objective of this paper is to propose a novel method of topic modelling and document-document semantic similarity algorithm (DDSSA), which reduces the need for larger training data. This algorithm finds the concepts and keywords of the unlabelled text, identifying the topic of unlabelled text from list of concepts and keywords obtained from labelled text. This can be achieved by obtaining the concepts of the labelled text and identify the keywords which holds strong relationships with given labelled data. This topics and keywords obtained from the labelled text can be stored in the database which in turn can be used to compute the semantic similarity with concepts obtained from the unlabelled text. The proposed method is compared with the popular latent semantic analysis (LSA) applied in NLTK and Mallet datasets. The experiment result show...","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129083926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Int. J. Web Sci.Pub Date : 2013-09-30DOI: 10.1504/IJWS.2013.056576
G. Sadasivam, K. Saranya, K. G. Karrthik
{"title":"Hypergraph-based Wikipedia search with semantics","authors":"G. Sadasivam, K. Saranya, K. G. Karrthik","doi":"10.1504/IJWS.2013.056576","DOIUrl":"https://doi.org/10.1504/IJWS.2013.056576","url":null,"abstract":"Wikipedia is a free, web-based encyclopaedia. This paper addresses the knowledge integration issue by computing semantic relatedness over a graph derived from Wikipedia by treating the articles as nodes and the links between the articles as the edges. Sentences with highest occurring keywords are extracted. These complex sentences are split into simple sentences and triplets with synonyms are extracted. A hypergraph structure is formed using hypernyms of the keywords to cluster the articles. Hypernyms extracted from the search query and keyword co-occurrences are used to extract relevant articles. Mapping the articles under the hypernyms category to an in-memory structure improves search efficiency and facilitates personalisation. The proposed work ensures the implied relationships between articles in the graph structure and maintenance of semantic relatedness between articles. Further, clustering the articles within the graph structure based on the hypernyms narrows down the search","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114942214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}