1 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
2 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
3 The WWW – some concepts, history Web 1.0 1. Web 2.0 2. Web 3.0 3. The WWW Consortium (W3C) 4. Clicker: Rate your familiarity with those terms (A-E (1-5))
4 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…)
5 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
6 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 You as an student: university, program … grades? n Your work n Health n q Type of job this person wants to get after graduation; Doctoral, postdoctoral studies? q Personal website or portfolio or facebook or ….
7 Who we are? Initial talk Who you are as described by yourself Clicker time: Do you have a presence in the web? Personal website, portfolio (UH server or cloud) 1. Facebook 1. Both 2.
8 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)
9 Rank your familiarity with following terms related to the web (A-E (1-5)) 1. Privacy; confidentiality 2. Credibility 3. Usability
10 Rank your familiarity with following terms (A-E (1-5)) 1. Interface design 2. Personalization
11 What do we understand by personalization in the web environment? Write some keywords, tags in your workbook
12 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)
13 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.
14 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 of 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.)
15 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.
16 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, ..)
17 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
18 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.
19 My preferred books in this area n Harter: IR n Ellis: Cognitive model n Nahl: Affective dimension
20 Our preferences / behaviour Finding Information - personal strategies Learning style
21 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
Social connectedness online / offline. Needs of some vulnerable populations in a digital word. The homeless population case Luz M. Quiroga Wayne Buente Leonardo Piña Information & Computer Sc. School of Communications Library and Information Sc. Departamento de Antropología 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 Current study : Honolulu, HI Related work 150 surveys and interviews with homeless guests at two Conceptual Background Chile - 2011 Census: 12,255 homeless people shelters. Asked about computer use, mobile phones, and interviewed by more than 9,000 volunteers. Offline social network sites Factors that influence Internet use Findings: social detachment but value and work for social (Adapted from Hargittai, 2011) connectedness and companionship. Demographics: 54% male, 46% female, and one transgender Social Connectedness 68% over 40 years old One of the primary purposes for using computers by Native Hawaiians (32%), Whites (18%), Other Asians homeless individuals is to maintain and increase (Japanese, Chinese, Koreans) (11%), Filipinos (9%), social connectedness. Participants used social Hispanics (8%), and other Pacific Islanders (7%). network sites, dating sites, chat rooms, and email to ICT use and Social support: fulfill social connections (Eyrich-Garg, 2011). 70% had mobile phone Public Libraries and social service agencies were the Social network technologies (Internet, mobile most popular places for Internet access phones, texting) help homeless young adults connect 47% used social network sites to their home-based peers and positive social Respondents divided about their belief of social networks. support; skills and context varies Research Agenda ICTs played a significant factor in reducing risky - Contextual user modeling instead of stereoptyping sexual behavior, substance abuse, and depression. - Participatory Photography and social space (Rice, 2010; Rice, Kurzban & Ray, 2011; Rice, - Literacy programs Milburn & Monro, 2011). - Study youth population - Ontological modeling / knowledge base / network of stakeholders: homeless, services, researches, resources - ICT & social capital
23 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?
24 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
25 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
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