ICS 101: Tools for the Information World Web development - The - - PowerPoint PPT Presentation

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ICS 101: Tools for the Information World Web development - The Semantic web

• Nov. 29, 2016

Instructor: Luz M. Quiroga University of Hawaii. Affiliated to: ICS – LIS - CIS

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Agenda:

n Part 1:The WWW – some concepts, history n Part 2: The web today: The Semantic web n Part 3: The web and our communities

q Community informatics q Community engagement

n Part 4: Examples from related courses projects,

courses, thesis dissertations I am involved

q Framework: User centered design

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The WWW – some concepts, history

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Web 1.0

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Web 2.0

3.

Web 3.0

4.

The WWW Consortium (W3C) Clicker: Rate your familiarity with those terms (A-E (1-5))

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The WWW – some concepts, history

n Web 1.0: Linking! n Web 2.0: The social web n Web 3.0: The semantic & personalized web n Role of The WWW Consortium (W3C):

Agreement on web standards & protocols, e.g. Languages (HTML, SXML…)

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Who we are? Initial talk on personalization

Who you are as described by yourself

n Our Profiles n Workbook: Prepare and submit some

keywords / tags that you would use to describe yourself

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Who we are? Initial talk

Who you are as described by yourself

n Elements / attributes commonly used to

describe a person:

q Name q Demographics: e.g. age, gender, ethnicity, etc. q Something special (country, hobby, job, family, summer

activities, etc.)

q Current status / context / situational

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You as an student: university, program … grades?

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Your work

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Health

q Type of job this person wants to get after graduation;

Doctoral, postdoctoral studies?

q Personal website or portfolio or facebook or ….

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Who we are? Initial talk

Who you are as described by yourself

Clicker time: Do you have a presence in the web?

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Personal website, portfolio (UH server or cloud)

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Facebook

2.

Both

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Rank your familiarity with following terms (A-E (1-5))

• - Clicker time --
• 1. Search engines; tagging
• 2. Social web (social informatics, social

computing, social networking, Communities of Practice (COP), collective intelligence)

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Rank your familiarity with following terms related to the web (A-E (1-5))

• 1. Privacy; confidentiality
• 2. Credibility
• 3. Usability

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Rank your familiarity with following terms (A-E (1-5))

• 1. Interface design
• 2. Personalization

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What do we understand by personalization in the web environment?

Write some keywords, tags in your workbook

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What do we understand by

• personalization. Answers from

previous presentations.

n Customization n User modeling n Profiles acquisition n User friendly interfaces n Semantic Web (The web 3.0) n Recommenders (e.g. Amazon)

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Who we are? More about us:

Who you are, as described by your classmates Potential exercise:

n Pair with another student (prefer someone you do

not know) and learn about that person:

q name; something special (country, hobby, job, family,

summer activities, etc.)

q Type of job this person wants to get after graduation;

Doctoral, postdoctoral studies?

n Write his / her name and a few keywords about

remarkable things of your partner

n Post in the workspace for the course a brief intro to

yourself to keep the record (and to let us know more about you). You will be updating your entry / profile as needed during the semester.

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Concepts in IR and IF. The semantic web & personalization

n Web 3.0, the semantic web, is about user

modeling and personalization

n Web 3.0 builds on ideas and implementations

• f the Web 2.0, the social web; goal is to

deliver contextually, semantically relevant information.

n Semantic web and ontological modeling

q What de we understand by ontologies? q See definition in Dieter Fensel (2004). Ontologies:

A Silver Bullet for Knowledge Management and Electronic Commerce (2. ed. / Forward, page vi.)

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The semantic web & personalization

n Semantic web and ontological modeling

What de we understand by ontologies?

n A definition: Dieter Fensel (2004).

“An ontology, in the sense used in this book, is a community mediated and accepted description of the kinds of entities that are in a domain of discourse and how they are related.”

n It means: network of concepts in an specific field,

domain, community.

n It links to Community informatics & community

engagement disciplines.

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The semantic web & personalization

n Domain ontologies: Ontological modeling of

content (e.g. databases, thesaurus, taxonomies)

n Personal Ontologies: Ontological modeling of

people / users of an information system: (e.g. demographics; academic background; hobbies; health conditions, ..)

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The semantic web & personalization

n Recommendation technology has been

presented as “a new paradigm of search where relevant items find the user instead of the user explicitly searching for them” http://recsys.acm.org/2009

n New trends in Information technologies such

as social networking and mobile devices are making personalization research and practice a priority.

n Also aimed to reduce information overload

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My preferred books in this area

n “Modern Information Retrieval” by Ricardo

Baeza-Yates and Berthier Ribeiro-Neto. Addison Wesley Longman, 2d. Edition, 2011 Link to book website: http://www.mir2ed.org/

n The authors of the textbook received the 2012

ASIST (American Society of Information Science and Technology) Book of the Year Award.

n Baeza is Vicepresident for research in Yahoo

and has leaded projects on the semantic web in Chile.

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My preferred books in this area

n Harter: IR n Ellis: Cognitive model n Nahl: Affective dimension

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Our preferences / behaviour

Finding Information - personal strategies Learning style

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More related terminology

n Social filtering (bulletin boards, blogs, wikis) n Desktop searching n Personal Information Management (PIM). Survey on

PIM habits and tools.

n XML, RDF, RSS

Research Objective

• Understanding the Information and Communication Technology (ICT) needs of homeless guests at two Honolulu shelters
• Identify how ICTs relate to social connectedness among homeless guests
• Determine how context affects the use of ICTs by homeless guests

Social connectedness online / offline. Needs of some vulnerable populations in a digital word. The homeless population case

Luz M. Quiroga Wayne Buente Leonardo Piña

Related work

Chile - 2011 Census: 12,255 homeless people interviewed by more than 9,000 volunteers. Offline social detachment but value and work for social connectedness and companionship. Social Connectedness One of the primary purposes for using computers by homeless individuals is to maintain and increase social connectedness. Participants used social network sites, dating sites, chat rooms, and email to fulfill social connections (Eyrich-Garg, 2011). Social network technologies (Internet, mobile phones, texting) help homeless young adults connect to their home-based peers and positive social networks. ICTs played a significant factor in reducing risky sexual behavior, substance abuse, and depression. (Rice, 2010; Rice, Kurzban & Ray, 2011; Rice, Milburn & Monro, 2011).

Conceptual Background

Factors that influence Internet use (Adapted from Hargittai, 2011)

Findings:

Demographics: 54% male, 46% female, and one transgender 68% over 40 years old Native Hawaiians (32%), Whites (18%), Other Asians (Japanese, Chinese, Koreans) (11%), Filipinos (9%), Hispanics (8%), and other Pacific Islanders (7%). ICT use and Social support: 70% had mobile phone Public Libraries and social service agencies were the most popular places for Internet access 47% used social network sites Respondents divided about their belief of social support; skills and context varies

Current study: Honolulu, HI

150 surveys and interviews with homeless guests at two

• shelters. Asked about computer use, mobile phones, and

social network sites

Research Agenda

• Contextual user modeling instead of stereoptyping
• Participatory Photography and social space
• Literacy programs
• Study youth population
• Ontological modeling / knowledge base / network
• f stakeholders: homeless, services,

researches, resources

• ICT & social capital

Information & Computer Sc. School of Communications Library and Information Sc. Departamento de Antropología

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Work I am involved

n Examples from related courses projects, courses,

thesis dissertations I am involved

Framework: User centered design

n Pei C. – ICS dissertaion: Discovering

information in Wikipedia taxonomies

n William Y: ICS master thesis. PIM – personal

calendars, health informatics

n Streveler, D. Tagging others health. A New

Way to Diagnose?

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Work I am involved

n Examples from related courses projects, courses,

thesis dissertations I am involved

Framework: User centered design

n Song Min: Ontological modeling of

Homelessness website

n Orr: One thousand ways to say delicious n Lala H:Hula. Representation of Indigenous

Cultural Heritage: An investigation of Kanaka Maoli (Hawaiian) Hula Collection

n Reyes, K. Native ontologies

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Courses

n ICS 616 Information Architecture web design n LIS 647 Semantic digital libraries n CIS 702: Information retrieval / filtering n LIS630: Community engagement n ICS 690: Community informatics