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Bar-Ilan University, Israel

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16 Papers

Measuring and Avoiding Information Loss During Concept Import from a Source to a Target Ontology

Topics: Ontology Engineering; Ontology Matching and Alignment; Domain Ontologies

Authors: James Geller ¹ , Shmuel Klein ² and Vipina Keloth ¹

Affiliations: ¹ Dept. of Computer Science, New Jersey Institute of Technology and U.S.A. , ² Dept. of Computer Science, Bar Ilan University, Ramat Gan 52900 and Israel

Digital Object Identifier: 10.5220/0008354904420449

Proceedings of KEOD 2019, ISBN: 978-989-758-382-7

Quick Abstract

Comparing pairs of ontologies in the same biomedical content domain often uncovers surprising differences. In many cases these differences can be characterized as “density differences,” where one ontology describes the content domain with more concepts in a more detailed manner. Using the Unified Medical Language System across pairs of ontologies contained in it, these differences can be precisely observed and used as the basis for importing concepts from the ontology of higher density into the ontology of lower density. However, such an import can lead to an intuitive loss of information that is hard to formalize. This paper proposes an approach based on information theory that mathematically distinguishes between different methods of concept import and measures the associated avoidance of information loss.

Related Ontology Subjects/Areas/Topics (10)

Artificial Intelligence	Knowledge Engineering and Ontology Development	Ontology Engineering
Data Engineering	Knowledge-Based Systems	Ontology Matching and Alignment
Enterprise Information Systems	Ontologies and the Semantic Web	Symbolic Systems
Information Systems Analysis and Specification

Identifying Pairs of Terms with Strong Semantic Connections in a Textbook Index

Topics: Ontology Engineering; Domain Ontologies

Authors: James Geller ¹ , Shmuel T. Klein ² and Yuriy Polyakov ¹

Affiliations: ¹ NJIT, United States , ² Bar Ilan University, Israel

Digital Object Identifier: 10.5220/0005615403070315

Proceedings of KEOD 2015/IC3K, ISBN: 978-989-758-158-8

Quick Abstract

Semantic relationships are important components of ontologies. Specifying these relationships is work-intensive and error-prone when done by experts. Discovering domain concepts and strongly related pairs of concepts in a completely automated way from English text is an unresolved problem. This paper uses index terms from a textbook as domain concepts and suggests pairs of concepts that are likely to be connected by strong semantic relationships. Two textbooks on Cyber Security were used as testbeds. To show the generality of the approach, the index terms from one of the books were used to generate suggestions for where to place semantic relationships using the bodies of both textbooks. A good overlap was found.

Related Ontology Subjects/Areas/Topics (9)

Artificial Intelligence	Information Systems Analysis and Specification	Ontologies and the Semantic Web
Data Engineering	Knowledge Engineering and Ontology Development	Ontology Engineering
Enterprise Information Systems	Knowledge-Based Systems	Symbolic Systems

On the Cryopreservation of Individual Cells in Volumes Less than Nano Liter

Authors: B. Galmidi ¹ , Y. Shafran ¹ , R. Orvieto ² , N. Zurgil ¹ and M. Deutsch ¹

Affiliations: ¹ Bar Ilan University, Israel , ² The Chaim Sheba Medical Center, Israel

Proceedings of DCBIOSTEC 2014/BIOSTEC, ISBN: Not Available

Quick Abstract

About a million cases of low sperm count related diseases, are treated in one year at IVF labs, using unsuitable procedures and means for cryopreservation of individual spermatozoa. The micro-arrayed donut-shaped chamber (DSC) is a novel device for individual cell cryo-preservation which was developed and produced in the frame of the current work. Each chamber is designed to act as an individual isolated compartment, and to enclose a minimal number of sperm cells. To date, we have promising results with sperm cells that have undergone the freezing-thawing cycle in suspension volume of about 10nl-2 μl. Under the same freezing-thawing procedure, the motility of thawed sperm cells in a 1nl volume or less was unsatisfactory. The series of experiments lead us to suspect that a unique physical mechanism might be the cause for the explored phenomena. Therefore, an analytical-physical research is under way, to understand the microscopic changes in the freezing-thawing process of water, solution and cell suspension (with different geometric shapes), at very small volumes, together with a biology research aimed to understand the effect of these changes on spermatozoa. These will be followed by medical research for the development of applied clinical devices and protocols. We strongly believe that overcoming the abovementioned temporary problems of cryopreservation of individual sperm cells within volumes less than nano liter, using our novel device for cryopreservation, will ensure there is no loss of spermatozoa during the freezing-thawing process.

Spectroscopic Characteristics of the Cationic Dye Basic Orange 21 in Leukocytes

Authors: Z. Eizig ¹ , D. T. Major ² , H. L. Kasdan ³ , E. Afrimzon ¹ , N. Zurgil ¹ and M. Deutsch ¹

Affiliations: ¹ Bar Ilan University, Israel , ² Bar-Ilan University, Israel , ³ IRIS International Inc., United States

Proceedings of DCBIOSTEC 2014/BIOSTEC, ISBN: Not Available

Quick Abstract

Leukocyte staining with the cationic dye, Basic Orange #21 (BO21) can improve leukocyte differential counting, routinely used to assess general health, help diagnose the cause of an abnormal white blood cell count, and/or monitor other diseases and conditions that affect specific leukocytes . The spectroscopic aspects of BO21 and their changes upon interaction with biological molecules within the live cell in general, and various leukocytes (white blood cells) in particular, were examined. Spectroscopic characteristics were studied in bulk solutions under several conditions (pH, viscosity) and various solvents (salts, proteins). Results show negligible changes in absorption spectra under most conditions and solvents. However, Heparin, an anion organic molecule common to a specific type of leukocyte, causes a blue shift of the spectra from 484 nm in its absence to 465 nm when Heparin is present. Next, it was found that in the presence of heparin the emission peak of BO21 was extremely red shifted; from 519 to 550nm for excitation of BO21 at 490nm. Finally, Fluorescence polarization (FP) measurements of BO21 in water yielded, contrary to all expectations, FP ~ 0.450. However, the presence of heparin produced a dramatically lower FP; about 0.200. may be caused either by an electrostatic bond between the cationic-dye and the polyanions (Heparin) or by effective aggregation of the dye cations due to their occupying adjacent sites on the polyanion. Utilizing different small anion molecules and high dye concentration, we concluded that it is not the electrostatic bond which is responsible for the blue spectral shift of the dye, but rather the aggregation of dye ions. We proposed a mechanism using computational chemistry which indicates that parallel setting of the molecular electrical dipoles of BO21, of which the dimers and trimers are composed, is indeed feasible. Surprisingly, the related binding energies are even lower than those calculated for anti-parallel arrangement.

Massive Group Message Authentication with Revocable Anonymity

Topics: Identity Management; Identification, Authentication and Non-Repudiation; Privacy; Privacy Enhancing Technologies

Authors: Boaz Catane and Amir Herzberg

Affiliation: Bar Ilan University, Israel

Digital Object Identifier: 10.5220/0004509203310338

Proceedings of SECRYPT 2013/ICETE, ISBN: 978-989-8565-73-0

Quick Abstract

Related Ontology Subjects/Areas/Topics (6)

Data and Application Security and Privacy		Identity Management		Privacy
Identification, Authentication and Non-Repudiation		Information and Systems Security		Privacy Enhancing Technologies

Secure Second Price Auctions with a Rational Auctioneer

Topics: Security Requirements; Applied Cryptography; Security Protocols

Authors: Boaz Catane and Amir Herzberg

Affiliation: Bar Ilan University, Israel

Digital Object Identifier: 10.5220/0004526101580169

Proceedings of SECRYPT 2013/ICETE, ISBN: 978-989-8565-73-0

Quick Abstract

Related Ontology Subjects/Areas/Topics (8)

Applied Cryptography	Databases and Data Security	Security Protocols
Cryptographic Techniques and Key Management	Information and Systems Security	Security Requirements
Data Engineering	Security in Information Systems

A “PARTIALLY VIRTUAL” MICROCONTROLLER LABORATORY

Topics: Blended Learning; e-Learning Success Cases; Errors in E-Learning; e-Learning in Electrical, Mechanical, Civil and Information Engineering

Authors: Shlomo Engelberg ¹ and Cecile Yehezkel ²

Affiliations: ¹ Jerusalem College of Technology, Israel , ² Bar-Ilan University, Israel

Digital Object Identifier: 10.5220/0003918303370342

Proceedings of CSEDU 2012, ISBN: 978-989-8565-07-5

Quick Abstract

In this paper, we describe our experiences running a “partially virtual” microcontroller lab. We show that though the virtual portion of the lab can contribute to the students’ understanding, there are also several pitfalls that must be avoided or dealt with. We have found that our “virtual microcontroller” simulates a true microcontroller to a reasonable extent, but there are cases in which the simulator does not properly simulate the microcontroller. It is critical that students be taught to think of “virtual equipment” as something distinct from the real equipment and as something with idiosyncrasies of its own.

Related Ontology Subjects/Areas/Topics (8)

Blended Learning	e-Learning	Errors in e-Learning
Computer-Supported Education	e-Learning in Electrical, Mechanical, Civil and Information Engineering	Learning/Teaching Methodologies and Assessment
Domain Applications and Case Studies	e-Learning Success Cases

BUILDING TODAY THE FUTURE CADRE OF INFORMATICS-ORIENTED PHYSICIANS - Lessons from a New Biomedical Informatics Curriculum for Medical Doctors

Authors: Ronen Tal-Botzer ¹ , Rachel S. Levy-Drummer ¹ , Gidi Rechavi ² and Ron Unger ¹

Affiliations: ¹ Bar-Ilan University, Israel , ² Sheba Medical Center, Israel

Digital Object Identifier: 10.5220/0003887603710377

Proceedings of SSTB 2012/BIOSTEC, ISBN: 978-989-8425-90-4

Quick Abstract

Recent revolutions in bioinformatics, web and smartphone apps, and the initiative to significantly increase the implementation of electronic medical records, highlighted the need of physicians to be familiar with the newly emerging field of Biomedical Informatics.The huge potential of the field motivated us to educate a cadre of physicians with the required informatics skills, and consequently, improve the quality of medical care in Israel. Here we describe the curriculum of our certification study program in Biomedical Informatics for physicians, comprised of the following courses: Advanced Molecular Methods for Clinical Applications, Clinical Bioinformatics, Biomathematical Modelling, Biostatistics and the Design of Clinical Trials, Clinical Systems Biology and Medical Data Mining. We discuss the rationale of the program; explain our considerations in designing the curriculum; describe the content of each course; highlight the Medical Data Mining course which was specifically designed for this program; and discuss the feedback from the students. More information is available at the website of the program: www.bio-medical.info.

THE FEASIBILITY OF UBIQUITOUS COMPUTING IN SCHOOL - Longitudinal Study in 1:1 Classes Suggests — Time Matters

Authors: Spektor-Levy Ornit , Keren Menashe and Doron Esty

Affiliation: Bar Ilan University, Israel

Digital Object Identifier: 10.5220/0003482104910497

Proceedings of UeL 2011/CSEDU, ISBN: 978-989-8425-50-8

Quick Abstract

Despite the growing interest in and excitement about ubiquitous computing in school and 1:1 models, there is a lack of research that focuses on teaching and learning in these intensive computing learning environments. This is a particularly salient issue in light of the high cost of implementing and maintaining 1:1 settings. This study evaluates an innovative educational program, taking place in three elementary schools and one middle school. 1,257 students and their teachers were provided with personal laptop computers for class and home use. This paper presents a portion of the results concluding four years of study and focuses on the way science teachers perceive the impact of teaching and learning in ubiquitous computing environment. Results suggest that "time matters". The statistical analysis as well as interviews with teachers revealed that as time passes, and the 1:1 settings become a routine in school, it is easier to detect the advantages of teaching and learning with personal laptops. Students feel more motivated, experience higher self-efficacy and develop increased technology proficiency for learning. These findings add unique and positive evidence to the growing body of research regarding one-to-one models.

AUTOMATIC IDENTIFICATION OF BIBLICAL QUOTATIONS IN HEBREW-ARAMAIC DOCUMENTS

Topics: Clustering and Classification Methods; Information Extraction

Authors: Yaakov Hacohen-Kerner ¹ , Nadav Schweitzer ² and Yaakov Shoham ¹

Affiliations: ¹ Jerusalem College of Technology, Israel , ² Bar-Ilan University, Israel

Digital Object Identifier: 10.5220/0003106703200325

Proceedings of KDIR 2010/IC3K, ISBN: 978-989-8425-28-7

Quick Abstract

Quotations in a text document contain important information about the content, the context, the sources that the author uses, their importance and impact. Therefore, automatic identification of quotations from documents is an important task. Quotations included in rabbinic literature are difficult to identify and to extract for various reasons. The aim of this research is to automatically identify Biblical quotations included in rabbinic documents written in Hebrew-Aramaic. We deal with various kinds of quotations: partial, missing and incorrect. We formulate nineteen features to identify these quotations. These features were divided into seven different feature sets: matches, best matches, sums of weights, weighted averages, weighted medians, common words, and quotation indicators. Several features are novel. Experiments on various combinations of these features were performed using four common machine learning methods. A combination of 17 features using J48 (an improved version of C4.5) achieves an accuracy of 91.2%, which is an improvement of about 8% compared to a baseline result.

Related Ontology Subjects/Areas/Topics (6)

Artificial Intelligence		Information Extraction		Knowledge-Based Systems
Clustering and Classification Methods		Knowledge Discovery and Information Retrieval		Symbolic Systems

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