Semantic Annotation Tool for Annotating Arabic Web Documents

Albukhitan, Saeed; Helmy, Tarek; Al-Mulhem, Mohammed

doi:10.1016/j.procs.2014.05.444

Cited by 12 publications

(8 citation statements)

References 6 publications

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“…According to the authors, the findings demonstrated a number of semantic queries that show how the generated knowledge base can provide support for numerous use cases in managing scientific literature. Similarly, Al-Bukhitan et al (2014) used an automatic annotation tool that supports the semantic annotation of Arabic language Web documents.…”

Section: New and Emerging Km Technologiesmentioning

confidence: 99%

Demographic differences in using knowledge creation tools among faculty members

Kaba

Ramaiah

2017

JKM

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Purpose The purpose of this study is to investigate and analyze demographic differences in using knowledge creation tools among faculty members. It also attempts to identify the most knowledge creation tool used by the participants. The tools comprised of 13 items including data mining, metadata, classifications, expert profiling, Mashup and blogs. Design/methodology/approach Data were collected through an online survey questionnaire. A total of 300 faculty members from 26 universities and colleges accredited by the UAE Ministry of High Education participated in the study. The t-test and analysis of variance (ANOVA) test are used to validate the stated hypotheses. Findings The study found personal knowledge management to be the most used knowledge creation tool among the faculty members, followed by authoring tools and templates. Findings of the study indicate statistically no significant difference in using knowledge creation tools with respect to gender, qualification, academic rank, teaching experience and institutional affiliation. These findings support the stated null hypotheses (H1, H3, H4, H6 and H8) and suggest that the use of knowledge creation tools is independent from these variables. However, the results showed statistically a significant age group difference, academic specialization and research experience in using knowledge creation tools. The findings reject the assumed hypotheses (H2, H5 and H7) and suggest the impact of these variables on the use of knowledge creation tools. Research limitations/implications The paper is based on the data collected through a survey questionnaire. Future studies may combine quantitative and qualitative data collection methods for the purpose of comparison and in-depth analysis. Practical implications Findings could be an important reference for knowledge management officers and knowledge intensive organizations and institutions to develop knowledge creation tools and promote usage among knowledge workers. Originality/value The paper represents one of the very few empirical studies conducted on the use of knowledge creation tools. Findings of the study may contribute to the process of knowledge creation among faculty members and also to the improvement of knowledge management in the academic environment and other knowledge organizations.

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Section: New and Emerging Km Technologiesmentioning

confidence: 99%

Demographic differences in using knowledge creation tools among faculty members

Kaba

Ramaiah

2017

JKM

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“…The system architecture is based on preprocessing, semantic annotation and annotation module, which is used to update the knowledge base (KB) of the annotations of the user's requests. AMASAT is a semantic annotation tool for Arabic Web document released by Al-Bukhitan et al [15]. AMASAT processes the input text by first: the analyzer module extracts textual data from the HTML document.…”

Section: Related Workmentioning

confidence: 99%

ARALD: Arabic Annotation Using Linked Data

Bouziane¹,

Bouchiha²,

Rebhi³

et al. 2021

ISI

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The evolution of the traditional Web into the semantic Web makes the machine a first-class citizen on the Web and increases the discovery and accessibility of unstructured Web-based data. This development makes it possible to use Linked Data technology as the background knowledge base for unstructured data, especially texts, now available in massive quantities on the Web. Given any text, the main challenge is determining DBpedia's most relevant information with minimal effort and time. Although, DBpedia annotation tools, such as DBpedia spotlight, mainly targeted English and Latin DBpedia versions. The current situation of the Arabic language is less bright; the Web content of the Arabic language does not reflect the importance of this language. Thus, we have developed an approach to annotate Arabic texts with Linked Open Data, particularly DBpedia. This approach uses natural language processing and machine learning techniques for interlinking Arabic text with Linked Open Data. Despite the high complexity of the independent domain knowledge base and the reduced resources in Arabic natural language processing, the evaluation results of our approach were encouraging.

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“…Staab et al [8] underline the importance of using an ontology for creating semantic annotation, a comparison of the results of research systems, one based on freely generated annotations and the other annotations based on ontologies are made by soo et al [9] wherein they show the advantage of the use of the ontology. Saad [10] develope a automatic annotation tool that supports the semantic annotation of Arabic language Web documents and Maha et al [11] presents a lexical ontology for Arabic semantic relations.…”

Section: State Of Artmentioning

confidence: 99%

Semantic Annotation of Pedagogic Documents

Benyahia¹,

Lehireche²

2016

IJMECS

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Abstract-To teach, teacher needs help for sharing these educational documents, and especially his knowledge. We present an approach to overcome the difficulty of sharing educational materials and facilitate access to content; we describe semantically these documents to make them accessible and available to different users. The main idea in our annotation approach is based on: (1) Identify key words in a document, to have a good presentation of the document, we extract the candidate words by applying a weighting process and another process using similarity measure, These keywords candidates are reconciled with ontology to determine the appropriate concepts. (2) As document reference generally other documents, we propagate the annotations of references for citing document. (3) A process of validation will be applied each time an annotation is added in order to keep the coherence of the base of annotation.After evaluation with several types of pedagogic documents, our approach achieved a good performance; this suggests that teachers can be greatly helped for the semantic annotation of their pedagogical documents.

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Semantic Annotation Tool for Annotating Arabic Web Documents

Cited by 12 publications

References 6 publications

Demographic differences in using knowledge creation tools among faculty members

Demographic differences in using knowledge creation tools among faculty members

ARALD: Arabic Annotation Using Linked Data

Semantic Annotation of Pedagogic Documents

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