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Dr. Muhammad Aslam
Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, KSA

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0 Ontology Engineering
0 Semantic Web
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0 Linked Open Data

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Research article
Published: 02 August 2021 in Complexity
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The need for smart e-learning environments is resulting in new challenges for researchers and practitioners to develop intelligent systems that can be used to automate the Higher Education (HE) activities in an intelligent way. Some common examples of such activities are “analyzing, finding, and ranking the right resource to teach a course,” “analyzing and finding the people with common research interests to start joint research projects,” and “using data analytics and machine reasoning techniques for conducting the exams with different levels of complexities.” Ontological reasoning and smart data analytics can play an important role in analyzing and automating these HE activities and processes. In this paper, we present a framework named as Higher Education Activities and Processes Automation Framework (HEAPAF). The HEAPAF framework can be used to identify, extract, process, and produce the semantically enriched data in machine understandable format from different educational resources. We also present the Higher Education Ontology (HEO) that we designed and developed to accommodate the HE data and then to perform analysis and reasoning on it. As a proof of concept, we present a case study on the topic, “analyzing, finding, and ranking the right resources to teach a course,” which can dramatically improve the learning patterns of students in the growing smart educational environment. Finally, we provide the evaluation of our framework as evidence of its competency and consistency in improving academic analytics for educational activities and processes by using machine reasoning.

ACS Style

Nada Abdullah Alrehaili; Muhammad Ahtisham Aslam; Dimah Hussein Alahmadi; Muhammad Asif; Muhammad Sheraz Arshad Malik. Ontology-Based Smart System to Automate Higher Education Activities. Complexity 2021, 2021, 1 -20.

AMA Style

Nada Abdullah Alrehaili, Muhammad Ahtisham Aslam, Dimah Hussein Alahmadi, Muhammad Asif, Muhammad Sheraz Arshad Malik. Ontology-Based Smart System to Automate Higher Education Activities. Complexity. 2021; 2021 ():1-20.

Chicago/Turabian Style

Nada Abdullah Alrehaili; Muhammad Ahtisham Aslam; Dimah Hussein Alahmadi; Muhammad Asif; Muhammad Sheraz Arshad Malik. 2021. "Ontology-Based Smart System to Automate Higher Education Activities." Complexity 2021, no. : 1-20.

Journal article
Published: 07 April 2021 in PeerJ Computer Science
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Background Results of scientific experiments and research work, either conducted by individuals or organizations, are published and shared with scientific community in different types of scientific publications such as books, chapters, journals, articles, reference works and reference works entries. One aspect of these documents is their contents and the other is metadata. Metadata of scientific documents could be used to increase mutual cooperation, find people with common interest and research work, and to find scientific documents in the matching domains. The major issue in getting these benefits from metadata of scientific publications is availability of these data in unstructured (or semi-structured) format so that it can not be used to ask smart queries that can help in computing and performing different types of analysis on scientific publications data. Also, acquisition and smart processing of publications data is a complicated as well as time and resource consuming task. Methods To address this problem we have developed a generic framework named as Linked Open Publications Data Framework (LOPDF). The LOPDF framework can be used to crawl, process, extract and produce machine understandable data (i.e., LOD) about scientific publications from different publisher specific sources such as portals, XML export and websites. In this paper we present the architecture, process and algorithm that we developed to process textual publications data and to produce semantically enriched data as RDF datasets (i.e., open data). Results The resulting datasets can be used to make smart queries by making use of SPARQL protocol. We also present the quantitative as well as qualitative analysis of our resulting datasets which ultimately can be used to compute the research behavior of organizations in rapidly growing knowledge society. Finally, we present the potential usage of producing and processing such open data of scientific publications and how results of performing smart queries on resulting open datasets can be used to compute the impact and perform different types of analysis on scientific publications data.

ACS Style

Muhammad Ahtisham Aslam. LOPDF: a framework for extracting and producing open data of scientific documents for smart digital libraries. PeerJ Computer Science 2021, 7, e445 .

AMA Style

Muhammad Ahtisham Aslam. LOPDF: a framework for extracting and producing open data of scientific documents for smart digital libraries. PeerJ Computer Science. 2021; 7 ():e445.

Chicago/Turabian Style

Muhammad Ahtisham Aslam. 2021. "LOPDF: a framework for extracting and producing open data of scientific documents for smart digital libraries." PeerJ Computer Science 7, no. : e445.

Journal article
Published: 17 October 2020 in Sustainability
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Due to the wide-ranging development of data-oriented sustainable systems in the government and the public sectors, the development of such sustainable systems is replete with potential. The ultimate focus of developing these sustainable systems is to provide citizens with transparency, accountability, awareness as well as a single point of query for asking integrated and smart queries. In view of these benefits, the Saudi government has taken the initiative to publish and develop sustainable open data-oriented information systems. However some major challenges in the Saudi Government Open Data are that the (1) data are published and available in different formats such as Excel sheets, CSV files (Comma Separated Values), images, scanned documents and social media sources such as Twitter, (2) datasets from different government departments are not linked with each other or to existing datasets in Linked Open Data Cloud (even though they have strong links with each other), and (3) there is no SPARQL Endpoint that can be used to pose smart semantic-based queries to Saudi Government Data. This paper is part of an ongoing research project to present a framework that can be used to transfer the government data from different sources to RDF format. The framework can also be used to clean and classify/map the data according to the Saudi Government Ontology. We also describe our approach for semiautomatically linking Saudi Government Datasets with one another as well as with other existing open datasets, thus resulting in the Saudi Linked Open Government Data Cloud (SLOGDC). Finally, taking the topic “Public’s Response to Women’s Driving in Saudi Arabia” as a case study, we demonstrate the SLOGD SPARQL Endpoint as a data-oriented system by executing different queries and analyzing results of these queries. This work also contributes new insights into women’s driving in Saudi Arabia using the SLOGDC, thus suggesting the way forward in shaping policies for decision-making.

ACS Style

Afnan AlSukhayri; Muhammad Aslam; Kawther Saeedi; Muhamad Malik. A Linked Open Data-Oriented Sustainable System for Transparency and Open Access to Government Data: A Case Study of the Public’s Response to Women’s Driving in Saudi Arabia. Sustainability 2020, 12, 8608 .

AMA Style

Afnan AlSukhayri, Muhammad Aslam, Kawther Saeedi, Muhamad Malik. A Linked Open Data-Oriented Sustainable System for Transparency and Open Access to Government Data: A Case Study of the Public’s Response to Women’s Driving in Saudi Arabia. Sustainability. 2020; 12 (20):8608.

Chicago/Turabian Style

Afnan AlSukhayri; Muhammad Aslam; Kawther Saeedi; Muhamad Malik. 2020. "A Linked Open Data-Oriented Sustainable System for Transparency and Open Access to Government Data: A Case Study of the Public’s Response to Women’s Driving in Saudi Arabia." Sustainability 12, no. 20: 8608.

Journal article
Published: 13 October 2020 in Sustainability
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An emerging technology with a secure and a decentralized nature, blockchain has the potential to transform conventional practices in an efficient and dynamic manner. However, migrating to blockchain can be challenging due to the complexity of its infrastructure and processes. The complexity of building applications on blockchain has been highlighted by many studies, thus stressing the need to investigate practical solutions further. A commonly known software engineering concept, software design pattern contributes to the acceleration of software development. It offers a holistic reusable solution for commonly occurring problems in a given context. It helps to identify problems that occur repetitively and describes best practices to address them. The present study is one of the first investigations to inquire into design patterns for blockchain application. Seeking to reduce the complexity in understanding and building applications on blockchain, this paper identifies a design pattern elicitation framework from similar blockchain applications. Next, it provides a demonstration of the Proof of Integrity (PoI) pattern elicited from two different applications on the blockchain. The applicability of the pattern is evaluated by building a blockchain application to verify the integrity of the academic certificates and by explaining how this integrity has been achieved empirically.

ACS Style

Kawther Saeedi; Monirah Almalki; Dania Aljeaid; Anna Visvizi; Muhammad Aslam. Design Pattern Elicitation Framework for Proof of Integrity in Blockchain Applications. Sustainability 2020, 12, 8404 .

AMA Style

Kawther Saeedi, Monirah Almalki, Dania Aljeaid, Anna Visvizi, Muhammad Aslam. Design Pattern Elicitation Framework for Proof of Integrity in Blockchain Applications. Sustainability. 2020; 12 (20):8404.

Chicago/Turabian Style

Kawther Saeedi; Monirah Almalki; Dania Aljeaid; Anna Visvizi; Muhammad Aslam. 2020. "Design Pattern Elicitation Framework for Proof of Integrity in Blockchain Applications." Sustainability 12, no. 20: 8404.

Journal article
Published: 09 January 2020 in IEEE Access
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ACS Style

Bashayer Alotaibi; Rabeeh Ayaz Abbasi; Muhammad Ahtisham Aslam; Kawther Saeedi; Dimah Alahmadi. Startup Initiative Response Analysis (SIRA) Framework for Analyzing Startup Initiatives on Twitter. IEEE Access 2020, 8, 10718 -10730.

AMA Style

Bashayer Alotaibi, Rabeeh Ayaz Abbasi, Muhammad Ahtisham Aslam, Kawther Saeedi, Dimah Alahmadi. Startup Initiative Response Analysis (SIRA) Framework for Analyzing Startup Initiatives on Twitter. IEEE Access. 2020; 8 ():10718-10730.

Chicago/Turabian Style

Bashayer Alotaibi; Rabeeh Ayaz Abbasi; Muhammad Ahtisham Aslam; Kawther Saeedi; Dimah Alahmadi. 2020. "Startup Initiative Response Analysis (SIRA) Framework for Analyzing Startup Initiatives on Twitter." IEEE Access 8, no. : 10718-10730.

Journal article
Published: 07 May 2019 in Sustainability
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With the advancement of technology, academics and curriculum developers are always under pressure to provide students with skills that match the market’s requirements. A systematic and continuous examination of the market is needed, to stay up to date with the required skills, and then to update the curriculum to train the students with required market skills. In this article, we present a framework referred to as Align My Curriculum (AMC). The AMC framework aims to facilitate alignment between acquired university curriculum outcomes and required market skills. It can be used to classify, compare and visualize the data of a university curriculum and job vacancies in the market. The presented framework benefits academics and curriculum developers by improving the courses and therefore bridging the skills gap. Stakeholders from both academia and industry can gain insights into the predominant required and acquired skills. In addition, it may be useful for analysts, students, and job applicants. This article describes the architecture, implementation and experimental results, with visual analysis to help decision and policy-makers.

ACS Style

Ahood Almaleh; Muhammad Ahtisham Aslam; Kawther Saeedi; Naif Radi Aljohani. Align My Curriculum: A Framework to Bridge the Gap between Acquired University Curriculum and Required Market Skills. Sustainability 2019, 11, 2607 .

AMA Style

Ahood Almaleh, Muhammad Ahtisham Aslam, Kawther Saeedi, Naif Radi Aljohani. Align My Curriculum: A Framework to Bridge the Gap between Acquired University Curriculum and Required Market Skills. Sustainability. 2019; 11 (9):2607.

Chicago/Turabian Style

Ahood Almaleh; Muhammad Ahtisham Aslam; Kawther Saeedi; Naif Radi Aljohani. 2019. "Align My Curriculum: A Framework to Bridge the Gap between Acquired University Curriculum and Required Market Skills." Sustainability 11, no. 9: 2607.

Journal article
Published: 04 April 2018 in Computers in Human Behavior
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The advanced learning analytics research of the last years converges with the industry demand to enhance famous learning management systems with learning analytics capabilities promoting the efficiency of higher education. The exploitation of big volume learning data, is a critical challenge for the design of personalized curricula and learning experiences. The purpose of this research paper is to communicate a framework for Learning Analytics aiming to support the integrated management of end-to-end learning data. We present the research foundations of a research prototype for the integration of a Learning Analytics Dashboard: The AMBA Prototype with famous Learning Management Systems. Finally, we present the main findings of an empirical study that proves the capacity of learning analytics to enhance the learners' ecosystem with value adding learning services. The proposed framework exploits cognitive computing for the enhancement of decision making in education by proving the capacity of Learning Analytics to reveal hidden patterns of learners’ behaviour and attitude.

ACS Style

Naif Radi Aljohani; Ali Daud; Rabeeh Ayaz Abbasi; Jalal S. Alowibdi; Mohammad Basheri; Muhammad Ahtisham Aslam. An integrated framework for course adapted student learning analytics dashboard. Computers in Human Behavior 2018, 92, 679 -690.

AMA Style

Naif Radi Aljohani, Ali Daud, Rabeeh Ayaz Abbasi, Jalal S. Alowibdi, Mohammad Basheri, Muhammad Ahtisham Aslam. An integrated framework for course adapted student learning analytics dashboard. Computers in Human Behavior. 2018; 92 ():679-690.

Chicago/Turabian Style

Naif Radi Aljohani; Ali Daud; Rabeeh Ayaz Abbasi; Jalal S. Alowibdi; Mohammad Basheri; Muhammad Ahtisham Aslam. 2018. "An integrated framework for course adapted student learning analytics dashboard." Computers in Human Behavior 92, no. : 679-690.

Journal article
Published: 08 February 2018 in Sustainability
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Viewing a computationally-intensive problem as a self-contained challenge with its own hardware, software and scheduling strategies is an approach that should be investigated. We might suggest assigning heterogeneous hardware architectures to solve a problem, while parallel computing paradigms may play an important role in writing efficient code to solve the problem; moreover, the scheduling strategies may be examined as a possible solution. Depending on the problem complexity, finding the best possible solution using an integrated infrastructure of hardware, software and scheduling strategy can be a complex job. Developing and using ontologies and reasoning techniques play a significant role in reducing the complexity of identifying the components of such integrated infrastructures. Undertaking reasoning and inferencing regarding the domain concepts can help to find the best possible solution through a combination of hardware, software and scheduling strategies. In this paper, we present an ontology and show how we can use it to solve computationally-intensive problems from various domains. As a potential use for the idea, we present examples from the bioinformatics domain. Validation by using problems from the Elastic Optical Network domain has demonstrated the flexibility of the suggested ontology and its suitability for use with any other computationally-intensive problem domain.

ACS Style

Hossam Faheem; Birgitta König-Ries; Muhammad Ahtisham Aslam; Naif Radi Aljohani; Iyad Katib. Ontology Design for Solving Computationally-Intensive Problems on Heterogeneous Architectures. Sustainability 2018, 10, 441 .

AMA Style

Hossam Faheem, Birgitta König-Ries, Muhammad Ahtisham Aslam, Naif Radi Aljohani, Iyad Katib. Ontology Design for Solving Computationally-Intensive Problems on Heterogeneous Architectures. Sustainability. 2018; 10 (2):441.

Chicago/Turabian Style

Hossam Faheem; Birgitta König-Ries; Muhammad Ahtisham Aslam; Naif Radi Aljohani; Iyad Katib. 2018. "Ontology Design for Solving Computationally-Intensive Problems on Heterogeneous Architectures." Sustainability 10, no. 2: 441.

Chapter
Published: 01 January 2018 in Information Retrieval and Management
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Producing the Linked Open Data (LOD) is getting potential to publish high-quality interlinked data. Publishing such data facilitates intelligent searching from the Web of data. In the context of scientific publications, data about millions of scientific documents published by hundreds and thousands of publishers is in silence as it is not published as open data and ultimately is not linked to other datasets. In this paper the authors present SPedia: a semantically enriched knowledge base of data about scientific documents. SPedia knowledge base provides information on more than nine million scientific documents, consisting of more than three hundred million RDF triples. These extracted datasets, allow users to put sophisticated queries by employing semantic Web techniques instead of relying on keyword-based searches. This paper also shows the quality of extracted data by performing sample queries through SPedia SPARQL Endpoint and analyzing results. Finally, the authors describe that how SPedia can serve as central hub for the cloud of LOD of scientific publications.

ACS Style

Muhammad Ahtisham Aslam; Naif Radi Aljohani. SPedia. Information Retrieval and Management 2018, 1576 -1596.

AMA Style

Muhammad Ahtisham Aslam, Naif Radi Aljohani. SPedia. Information Retrieval and Management. 2018; ():1576-1596.

Chicago/Turabian Style

Muhammad Ahtisham Aslam; Naif Radi Aljohani. 2018. "SPedia." Information Retrieval and Management , no. : 1576-1596.

Journal article
Published: 05 September 2017 in Program
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Purpose Tags are used to annotate resources on social media platforms. Most tag recommendation methods use popular tags, but in the case of new resources that are as yet untagged (the cold start problem), popularity-based tag recommendation methods fail to work. The purpose of this paper is to propose a novel model for tag recommendation called multi-feature space latent Dirichlet allocation (MFS-LDA) for cold start problem. Design/methodology/approach MFS-LDA is a novel latent Dirichlet allocation (LDA)-based model which exploits multiple feature spaces (title, contents, and tags) for recommending tags. Exploiting multiple feature spaces allows MFS-LDA to recommend tags even if data from a feature space is missing (the cold start problem). Findings Evaluation of a publicly available data set consisting of around 20,000 Wikipedia articles that are tagged on a social bookmarking website shows a significant improvement over existing LDA-based tag recommendation methods. Originality/value The originality of MFS-LDA lies in segregation of features for removing bias toward dominant features and in synchronization of multiple feature space for tag recommendation.

ACS Style

Muhammad Ali Masood; Rabeeh Ayaz Abbasi; Onaiza Maqbool; Mubashar Mushtaq; Naif R. Aljohani; Ali Daud; Muhammad Ahtisham Aslam; Jalal S. Alowibdi. MFS-LDA: a multi-feature space tag recommendation model for cold start problem. Program 2017, 51, 218 -234.

AMA Style

Muhammad Ali Masood, Rabeeh Ayaz Abbasi, Onaiza Maqbool, Mubashar Mushtaq, Naif R. Aljohani, Ali Daud, Muhammad Ahtisham Aslam, Jalal S. Alowibdi. MFS-LDA: a multi-feature space tag recommendation model for cold start problem. Program. 2017; 51 (3):218-234.

Chicago/Turabian Style

Muhammad Ali Masood; Rabeeh Ayaz Abbasi; Onaiza Maqbool; Mubashar Mushtaq; Naif R. Aljohani; Ali Daud; Muhammad Ahtisham Aslam; Jalal S. Alowibdi. 2017. "MFS-LDA: a multi-feature space tag recommendation model for cold start problem." Program 51, no. 3: 218-234.

Conference paper
Published: 29 March 2017 in Transactions on Petri Nets and Other Models of Concurrency XV
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The World Wide Web (WWW) is emerging as the Web of Data, providing information on various domains. A vast number of scientific documents such as books, articles and journals can be found through many publisher’s websites, portals and XML exports. The challenge here is that the data about these scientific documents can not be explored collectively, as they are published as a bounded group of sources organized by different publishers. To address these limitations, we have developed a generic framework termed as Linked Open Publications Data Framework (LOPDF) that facilitates crawling, processing, extracting and producing machine-processable data that is open and linked to other open datasets. We also demonstrate the RDF datasets produced by using LOPDF framework and describe statistics of different datasets entities.

ACS Style

Muhammad Ahtisham Aslam; Naif Radi Aljohani; Rabeeh Abbasi; Miltiadis D. Lytras; Muhammad Ashad Kabir. A Generic Framework for Adding Semantics to Digital Libraries. Transactions on Petri Nets and Other Models of Concurrency XV 2017, 277 -281.

AMA Style

Muhammad Ahtisham Aslam, Naif Radi Aljohani, Rabeeh Abbasi, Miltiadis D. Lytras, Muhammad Ashad Kabir. A Generic Framework for Adding Semantics to Digital Libraries. Transactions on Petri Nets and Other Models of Concurrency XV. 2017; ():277-281.

Chicago/Turabian Style

Muhammad Ahtisham Aslam; Naif Radi Aljohani; Rabeeh Abbasi; Miltiadis D. Lytras; Muhammad Ashad Kabir. 2017. "A Generic Framework for Adding Semantics to Digital Libraries." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 277-281.

Journal article
Published: 01 January 2017 in International Journal on Semantic Web and Information Systems
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When dealing with a specific patient case, physicians are often interested in retrieving a personalized version of a clinical guideline, that is a version tailored to their use needs. In a patient-centric scenario, empowered patients make up another class of users interested in retrieving personalized care plans from a guideline repository. In their previous work, the authors proposed techniques to efficiently provide ontology-based personalized access to very large collections of multi-version clinical guidelines. In this paper, they address the problem of also dealing with a multi-version ontology used to support personalized access to clinical guidelines. The authors' approach allows the semantic indexing of guideline contents with respect to multi-version ontology classes and exploits the IS-A relationship among such classes for granting personalized access. Efficiency is ensured by a newly introduced annotation scheme for guidelines and solutions to cope with the evolution of ontology structure. The tests performed on a prototype implementation confirm the goodness of the approach.

ACS Style

Fabio Grandi; Federica Mandreoli; Riccardo Martoglia; Muhammad Ahtisham Aslam; Naif Radi Aljohani. Multi-Version Ontology-Based Personalization of Clinical Guidelines for Patient-Centric Healthcare. International Journal on Semantic Web and Information Systems 2017, 13, 104 -127.

AMA Style

Fabio Grandi, Federica Mandreoli, Riccardo Martoglia, Muhammad Ahtisham Aslam, Naif Radi Aljohani. Multi-Version Ontology-Based Personalization of Clinical Guidelines for Patient-Centric Healthcare. International Journal on Semantic Web and Information Systems. 2017; 13 (1):104-127.

Chicago/Turabian Style

Fabio Grandi; Federica Mandreoli; Riccardo Martoglia; Muhammad Ahtisham Aslam; Naif Radi Aljohani. 2017. "Multi-Version Ontology-Based Personalization of Clinical Guidelines for Patient-Centric Healthcare." International Journal on Semantic Web and Information Systems 13, no. 1: 104-127.

Journal article
Published: 01 January 2017 in International Journal on Semantic Web and Information Systems
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Producing the Linked Open Data (LOD) is getting potential to publish high-quality interlinked data. Publishing such data facilitates intelligent searching from the Web of data. In the context of scientific publications, data about millions of scientific documents published by hundreds and thousands of publishers is in silence as it is not published as open data and ultimately is not linked to other datasets. In this paper the authors present SPedia: a semantically enriched knowledge base of data about scientific documents. SPedia knowledge base provides information on more than nine million scientific documents, consisting of more than three hundred million RDF triples. These extracted datasets, allow users to put sophisticated queries by employing semantic Web techniques instead of relying on keyword-based searches. This paper also shows the quality of extracted data by performing sample queries through SPedia SPARQL Endpoint and analyzing results. Finally, the authors describe that how SPedia can serve as central hub for the cloud of LOD of scientific publications.

ACS Style

Muhammad Ahtisham Aslam; Naif Radi Aljohani; Alfredo D'elia; Fabio Viola; Luca Roffia; Paolo Azzoni; Tullio Salmon Cinotti. SPedia. International Journal on Semantic Web and Information Systems 2017, 13, 128 -147.

AMA Style

Muhammad Ahtisham Aslam, Naif Radi Aljohani, Alfredo D'elia, Fabio Viola, Luca Roffia, Paolo Azzoni, Tullio Salmon Cinotti. SPedia. International Journal on Semantic Web and Information Systems. 2017; 13 (1):128-147.

Chicago/Turabian Style

Muhammad Ahtisham Aslam; Naif Radi Aljohani; Alfredo D'elia; Fabio Viola; Luca Roffia; Paolo Azzoni; Tullio Salmon Cinotti. 2017. "SPedia." International Journal on Semantic Web and Information Systems 13, no. 1: 128-147.

Conference paper
Published: 28 May 2016 in Transactions on Petri Nets and Other Models of Concurrency XV
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There is a noticeable increase in the number of scientific publications. These publications are being published by different publishers. Springer is one of those publishers which has published more than nine million scientific documents. SpringerLink is the portal providing the gateway to searching and accessing these published scientific documents. The structure, as well as the way, the contents are presented on the portal, provides valuable information about documents metadata such as author, ISBN, references, articles, chapters. However, this metadata is understandable by human in such a way that it facilitates the keyword-based searches through SpringerLink portal. At the same time this huge data about scientific documents is in silence as it is neither open nor linked to other datasets. To address these issues, we have created a semantics based repository called SPedia which consists of semantically enriched data about documents published by Springer. Currently, SPedia datasets consist of more than 300 million RDF triples. In this paper we describe SPedia and examine the quality of its extracted data by performing semantically enriched queries. The results show that SPedia facilitates the users to put sophisticated queries by employing semantic Web techniques instead of keyword-based searches. In addition, SPedia datasets can be utilized to link to other datasets available in the Linked Open Data (LOD) cloud.

ACS Style

Muhammad Ahtisham Aslam; Naif Radi Aljohani. SPedia: A Semantics Based Repository of Scientific Publications Data. Transactions on Petri Nets and Other Models of Concurrency XV 2016, 479 -490.

AMA Style

Muhammad Ahtisham Aslam, Naif Radi Aljohani. SPedia: A Semantics Based Repository of Scientific Publications Data. Transactions on Petri Nets and Other Models of Concurrency XV. 2016; ():479-490.

Chicago/Turabian Style

Muhammad Ahtisham Aslam; Naif Radi Aljohani. 2016. "SPedia: A Semantics Based Repository of Scientific Publications Data." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 479-490.

Chapter
Published: 01 January 2009 in Apps Management and E-Commerce Transactions in Real-Time
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The business process execution language for Web services (BPEL4WS, shortly BPEL) is one of the most popular languages and de facto standard for modelling business processes as Web services compositions. However, it only allows using hard-coded syntactical interfaces for partners and the process itself, i.e. semantic descriptions of services cannot be used within a process model. The lacks of an ontological description of the process elements cause limitations in the ways services are used within a process. A service providing the same functionality as the one referenced in the process model, but via a different syntactical interface, cannot be used instead. As a result, a process model cannot find an alternate service that performs the same functionality but exposes a different interface and can crash. Also, another drawback of such business processes is that they expose syntactical interfaces and cannot be discovered and composed dynamically by other semantic enabled systems slowing down the process of interaction between business partners. OWL-S on the other hand is suite of OWL ontologies and can be used to describe the compositions of Web services on the basis of matching semantics as well as to expose semantically enriched interfaces of business processes. Consequently, translating BPEL process descriptions to OWL-S suite of ontologies can overcome syntactical limitations of BPEL processes enabling them to 1) edit and model the composition of Web services on the basis of matching semantics 2) provide semantically enriched information of business processes. This semantically enriched information helps for dynamic and automated discovery, invocation and composition of business processes as Semantic Web services. Describing an approach and its implementation that can be used to enable business processes for semantic based dynamic discovery, invocation and composition by translating BPEL process descriptions to OWL-S suite of ontologies is the aim of this chapter.

ACS Style

Muhammad Ahtisham Aslam; Sören Auer; Klaus-Peter Fähnrich. Towards Semantic Business Processes. Apps Management and E-Commerce Transactions in Real-Time 2009, 244 -274.

AMA Style

Muhammad Ahtisham Aslam, Sören Auer, Klaus-Peter Fähnrich. Towards Semantic Business Processes. Apps Management and E-Commerce Transactions in Real-Time. 2009; ():244-274.

Chicago/Turabian Style

Muhammad Ahtisham Aslam; Sören Auer; Klaus-Peter Fähnrich. 2009. "Towards Semantic Business Processes." Apps Management and E-Commerce Transactions in Real-Time , no. : 244-274.

Conference paper
Published: 01 January 2006 in Computer Vision
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BPEL4WS is a well-established business process standard that can be used to orchestrate service-based workflows. However, the rapid growth and automation demands of e-business and grid applications require BPEL4WS to provide enhanced semantic annotations to achieve the goal of business processes automation. Here, OWL-S (OWL for Web Services) is designed to represent such kind of semantic information. Furthermore, there exists a similarity in the conceptual model of OWL-S and BPEL4WS that can be employed to overcome the lack of semantics in BPEL4WS by mapping the BPEL4WS process model to the OWL-S suite of ontologies. The mapped OWL-S service can be used to increase flexibility and to automate BPEL based grid scenarios even further. This is achieved by dynamic discovery, composition and invocation of OWL-S services, for example within e-business and grid environments. Hence, the aim of this paper is to establish a mapping from the BPEL process model to the complete OWL-S suite of ontologies. We present a mapping strategy and a tool supporting this strategy. This allows the semantic annotation of workflows defined as BPEL4WS processes to enable the automation of a variety of e-business tasks.

ACS Style

Muhammad Ahtisham Aslam; Sören Auer; Jun Shen; Michael Herrmann. Expressing Business Process Models as OWL-S Ontologies. Computer Vision 2006, 400 -415.

AMA Style

Muhammad Ahtisham Aslam, Sören Auer, Jun Shen, Michael Herrmann. Expressing Business Process Models as OWL-S Ontologies. Computer Vision. 2006; ():400-415.

Chicago/Turabian Style

Muhammad Ahtisham Aslam; Sören Auer; Jun Shen; Michael Herrmann. 2006. "Expressing Business Process Models as OWL-S Ontologies." Computer Vision , no. : 400-415.