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1
ICS 101: Tools for the Information World
Web development - The Semantic webNov. 29, 2016
Instructor: Luz M. QuirogaUniversity of Hawaii. Affiliated to: ICS – LIS - CIS
2Agenda:
n Part 1:The WWW – some concepts, historyn Part 2: The web today: The Semantic webn Part 3: The web and our communities
q Community informaticsq Community engagement
n Part 4: Examples from related courses projects, courses, thesis dissertations I am involvedq Framework: User centered design
3The WWW – some concepts, history
1. Web 1.02. Web 2.03. Web 3.04. The WWW Consortium (W3C)
Clicker: Rate your familiarity with those terms (A-E (1-5))
4The WWW – some concepts, history
n Web 1.0: Linking! n Web 2.0: The social webn Web 3.0: The semantic & personalized web
n Role of The WWW Consortium (W3C): Agreement on web standards & protocols, e.g. Languages (HTML, SXML…)
5Who we are? Initial talk on personalization
Who you are as described by yourselfn Our Profilesn Workbook: Prepare and submit some
keywords / tags that you would use to describe yourself
6Who we are? Initial talk
Who you are as described by yourselfn Elements / attributes commonly used to
describe a person:q Nameq Demographics: e.g. age, gender, ethnicity, etc.q Something special (country, hobby, job, family, summer
activities, etc.)q Current status / context / situational
n You as an student: university, program … grades?n Your workn Health
q Type of job this person wants to get after graduation; Doctoral, postdoctoral studies?
q Personal website or portfolio or facebook or ….
7Who we are? Initial talk
Who you are as described by yourself
Clicker time:
Do you have a presence in the web?
1. Personal website, portfolio (UH server or cloud)
1. Facebook
2. Both
8Rank your familiarity with following terms (A-E (1-5))-- Clicker time --
1. Search engines; tagging2. Social web (social informatics, social
computing, social networking, Communities of Practice (COP), collective intelligence)
9Rank your familiarity with following terms related to the web (A-E (1-5))
1. Privacy; confidentiality2. Credibility 3. Usability
10Rank your familiarity with following terms (A-E (1-5))
1. Interface design2. Personalization
11What do we understand by personalization in the web environment?
Write some keywords, tags in your workbook
12What do we understand by personalization. Answers from previous presentations. n Customizationn User modelingn Profiles acquisitionn User friendly interfacesn Semantic Web (The web 3.0)n Recommenders (e.g. Amazon)
13Who we are? More about us: Who you are, as described by your classmatesPotential 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 partnern 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.
14Concepts in IR and IF. The semantic web & personalizationn Web 3.0, the semantic web, is about user
modeling and personalizationn Web 3.0 builds on ideas and implementations
of the Web 2.0, the social web; goal is to deliver contextually, semantically relevant information.
n Semantic web and ontological modelingq 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.)
15The semantic web & personalization
n Semantic web and ontological modelingWhat 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.
16The 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, ..)
17The 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
18My 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.
19My preferred books in this area
n Harter: IRn Ellis: Cognitive model n Nahl: Affective dimension
20Our preferences / behaviour
Finding Information - personal strategies
Learning style
21More related terminology
n Social filtering (bulletin boards, blogs, wikis)n Desktop searchingn 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 workChile - 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 ConnectednessOne 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 oldNative 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 phonePublic Libraries and social service agencies were the most popular places for Internet access47% used social network sitesRespondents divided about their belief of social support; skills and context varies
Current study: Honolulu, HI150 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
of stakeholders: homeless, services, researches, resources
- ICT & social capital
Information & Computer Sc. School of CommunicationsLibrary and Information Sc.
Departamento de Antropología
23Work I am involved
n Examples from related courses projects, courses, thesis dissertations I am involvedFramework: 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. ANewWaytoDiagnose?
24Work I am involved
n Examples from related courses projects, courses, thesis dissertations I am involvedFramework: User centered design
n Song Min: Ontological modeling of Homelessness website
n Orr: One thousand ways to say deliciousn Lala H:Hula. Representation of Indigenous
Cultural Heritage: An investigation of Kanaka Maoli (Hawaiian) Hula Collection
n Reyes, K. Native ontologies
25Coursesn ICS 616 Information Architecture web designn LIS 647 Semantic digital librariesn CIS 702: Information retrieval / filteringn LIS630: Community engagementn ICS 690: Community informatics