The Long Tail and Libraries

To date, Lorcan Dempsey's Libraries and the Long Tail has offered the most insightful analysis of the Long Tail's importance in libraries. As I've written before, the Long Tail is an effective strategy to utilize when implementing Library 2.0 for the modern library. The question is: could it be implemented without a huge overhaul of most existing libraries? These are some points that Dempsey argues:

(1) Transaction Costs - The better connected libraries are, the lower the transaction costs

(2) Data about choice and behavious - Transactional behavioural data is used to adapt and improve systems. Examples of such data are holdings data, circulation and ILL data, and database usage data.

(3) Inventory - As more materials are available electronically, we will see more interest in managing the print collection in a less costly way. Although historical library models have been based on physical distribution of materials, resources are decreasingly needed to be distributed in advance of need; they can be held in consolidated stores

(4) Navigation - There are better ways to exploit large bibliographic resources. Ranking, recommendations, and relation help connect users to relevant material and also help connect the more heavily used materials to potentially useful, but less used, materials

(5) Aggregation of Demand - The library resource is fragmented. In the new network environment, this fragmentation reduces gravitational pull, which means that resources are prospected by the persistent or knowledgeable user, but they may not be reached by others to whom the resources are potentially useful. What OCLC is doing is making metadata about those books available to the major search engines and routing users back to library services

Google = God?

Maybe Google got it right all along. But is it God? That often appears to be the way that most people do their searching online nowadays, expecting to find the answer to just about anything. Yihong Ding calls this kind of searching, "oracle-based" web searching, which search engines such as Google are assumed to know everything. But this worked relatively well in the early days of the Web because it a pragmatic and affordable strategy; at that time, the quantity of web resources was comparatively small. We rarely searched for meaning. Based on this premise, to build a semantic oracle (i.e. Semantic Google) is equiavalent to create a real God (who knows everything) to human beings.

Perhaps, according to Ding, a better alternative is collaborative searching. Since current answer-based search strategy is motivated by questions, collaborative search is motivated by answers. In our answer-based search model, the ones who answer questions may not have passion (or enough knowledge) to questions. But an inanimate search engine such as Google doesn't know this -- nor does it care.

However, Web 2.0 is slowly changing this course of searching. Already, search engines such as Cha Cha are harvesting collective intelligence and wisdom of the crowds to retrieve more "relevant" results. Ding goes one point further: Web 3.0 will be based on community-sensitive link resources. It will reverse the relation between horizontal search engines and vertical search engines. The current model of vertical search engines being built upon generic search engines are not working well because they are too immature to provide communicate-specific search by themselves. (Just look at the limitations of Rollyo). What will the Semantic Web search engine look like? Maybe something like this.

The Future of I.S.

Meet Ramesh Srinivasan, professor of Information Studies at UCLA. During my trip to Los Angeles, I met with the IS faculty and visited some of the libraries there at UCLA. My conversation with this up and coming academic star was fascinating to say the least. Ramesh's interests includes exploring connections between diasporic/indigenous communities and new media and how information technologies shape, transform, and differentially impact nations, cultures, societies along educational, political, health-related, social, and infrastructural dimensions.

Among his more interesting projects is the Emerging Databases, Emerging Diversity (ED2): National Science Foundation-funded initiative to study methods by which digital collections can be shared via systems that maintain diverse tags, ontologies, and interfaces. In collaboration with Cambridge University's Museum of Anthropology and Archaeology, and the Zuni community of New Mexico, the $300,000-funded project inquires how digital access to ancestral objects affects diverse communities. Ramesh's work involves extensive field work in places like Kyrgyzstan and India. (Exciting!)

The faculty at UCLA represents Library and Information Science's gradual shift towards the iSchool movement. Academics such as Ramesh Srinivasan represent the new face of LIS. This has important implications for librarians, who will ultimately be bred and nurtured by these new scholars nontraditional perspectives to LIS. Rather than basing their studies on users of libraries, newer scholars such as Srinivasan, whose background is as diverse as his research (his PhD is in Design), go beyond the traditional domain of LIS. Inevitably, librarianship will change because of this new approach. New ways of thinking and research will be injected into the profession -- perhaps this is where the source of innovation in libraries will come from as well. From the classroom.